Probably the most interesting thing about it at the moment is the editor. The world, and most things in it, are represented as collections of SDFs. More accurately, they're density fields, but, potato-tomato.

Bonsai has undergone a large rewrite over the last couple years that's nearing completion. A world edit is defined as a bunch of SDF parameters which get projected/rasterized into the voxel grid by a shader on the GPU. One neat thing about SDFs is they've been thoroughly researched and documented by a guy named Inigo Quilez, and they have a lot of nice mathematical properties. For example, you can do a smooth union of arbitrary SDFs to get nice rounded contours where shapes join.

I've written every system from scratch, all the way from the memory allocators and font rasterizer to the collision detector and simulation loop. I even wrote a metaprogramming language as a replacement for C++ templates, which is a whole other story. IIRC the only external dependency is the C runtime library for starting the process and my very occasional use of variadic functions arguments.

For a long time, an explicit non-goal of the project was to ship a game. It sounded insane to me to write an entire 3D engine and then ship a game. As it turns out, I've gotten it to the point where I can actually make a game. I've got a start on the game systems in a closed-source repo, and hope to have a steam page for it by the end of the year.

I'll do some shameless self-promotion and leave some links here for anyone interested in looking at the engine, language code, or some pretty pictures.

https://github.com/scallyw4g/bonsai

https://github.com/scallyw4g/poof

I'm an introvert and socially anxious, but I do enjoy hanging out with my friends. I just HATE the invitation-and-coordination game. If someone invites me and I don't want to go, I hate having to come up with a socially acceptable excuse. Inviting someone and waiting for them to make a socially acceptable excuse is equally awful to me.

Then you get to coordination. I want to go to the brewery at 2pm, but your kid has soccer practice so you can't get there til 3:30, but then Joe has to leave at 4 to pick up his mother in law at the airport, and... ugh. It's the worst.

So I made Holler, which is basically you hollering to your friends, "I'm going to be at the farmer's market at 2pm," and then you just go. If they show up, fantastic. If not, whatever, you were going to go anyway.

No coordination, no invitations, no friction. Just holler and go.

It's iOS only for now, but I'm working on an Android app as you read this, so hopefully that's coming soon.

Actually using raw git repos as the main data store which has worked out great since the US Code changes very little between new releases and so it compresses very well. Also makes it easy to generate diffs of sections: https://uscodex.org/usc/d/119-100/119-102not101/16/2201

To signup you don't provide any information (a randomly-generated account number is assigned to you), and you can run a proof-of-work captcha to get 2h for free. You can choose among many different search providers (for defaults and per query), including Uruky Site Search, powering our own index.

Last month we reached 300 monthly active accounts and released an image search gallery mode, plus a simple calculator and conversion widget!

The main differences between Uruky and Kagi, DuckDuckGo, SearXNG, etc. are visible in the footer (right side), but one huge difference is that with Uruky, after being a paying customer for 12 months, you get copy of the source code (licensed as BUSL, into AGPLv3 in 2 years — a suggestion made here on HN)!

Our main challenge continues to be discoverability and outreach because we want to do it ethically (no Big Tech and no GenAI/LLMs). Ideas are welcome! We’ve been sponsoring open source projects, open source maintainers, and indie, small-web, and privacy-related websites and applications/groups/orgs. This month we're sponsoring NOYB [2]!

Feature-wise, for September the most visible things that shipped already were Tags and Scopes (top feature requests for a while). We’re also still (slowly and sustainably) increasing our own index, focused on indie/small web.

Thank you for reading this!

[NO-AI]: There is no generative AI product or service being offered, here.

[1]: https://uruky.com

[2]: https://noyb.eu

ShopSpec is a deterministic parametric furniture generator (bookshelves, cabinets, shop carts, leg-and-rail frames, multi-carcass composites) that encodes real woodworking intelligence and outputs shop-ready artifacts.

Most recently, introduced the concept of value engineering by sweeping across dimensions to batch evaluate candidates that ranks based on sheet purchases. Also have in beta an MCP connector to let agents explore the deterministic engine.

I'm building a number of items for home and shop and ShopSpec has been instrumental to plan, visualize, and execute on these new ideas/projects.

it's a weight-training app that helps you train along your "pareto frontier" of weight vs reps. The idea is to train at lower weight-higher rep, medium weight medium reps, and higher weight, lower reps for every movement. I tried to develop my own weight training program following bits and pieces of advice from bodybuilding forums and ended up injuring several tendons in my first year. So I did a bunch of research on tendon strengthening as well as what's most effective for hypertrophy (reps near failure) strength (reps near maximal load) and injury-prevention/frequency (not bringing yourself to failure too often) and designed an app to automatically prescribe and advance weights and reps based on your learned strength curve (Brzycki-like, with an added shape parameter)

The app is designed to make use of the free Cloudflare tier, so I can support thousands of athletes for just the cost of the domain name. I'm primarily interested in understanding the "Fatigue curve" - right now I have some basic per-set fatigue modeling (basically a log-linear strength dropoff) but I think it could be much better characterized with more data. I could go on and on about the modeling but my intention is to keep it free (maybe add some non-intrusive ads on content pages if it ever starts costing me a few pennies a month) but my primary interest is to be able to do statistical analysis on the data.

  year  projects  avg/month
  ----  --------  ---------
  2008       123       10.2
  2009       104        8.7
  2010       666       55.5
  2011        86        7.2
  2012        46        3.8
  2013       389       32.4
  2014       146       12.2
  2015       104        8.7
  2016       471       39.2
  2017       456       38.0
  2018       242       20.2
  2019       246       20.5
  2020       882       73.5
  2021       837       69.8
  2022       363       30.2
  2023       425       35.4
  2024      2122      176.8
  2025      6220      518.3
  2026      6093      677.0  (Jan-Sep)

  year  #1             #2             #3             #4             #5
  ----  -------------  -------------  -------------  -------------  -------------
  2008  Dev tools  9%  Games      9%  Video/gfx  7%  Writing    7%  Business   6%
  2009  Dev tools 16%  Science   11%  Writing    8%  Education  7%  Business   7%
  2010  Dev tools  8%  Games      6%  Video/gfx  6%  Business   4%  Writing    4%
  2011  Dev tools  8%  Games      8%  Social     7%  Business   7%  Science    7%
  2012  Business  13%  Dev tools  7%  Hardware   4%  Video/gfx  4%  Social     4%
  2013  Dev tools 16%  Video/gfx 10%  Games      7%  Writing    6%  Education  6%
  2014  Dev tools 12%  Video/gfx 10%  Writing    7%  Hardware   6%  Games      6%
  2015  Games     11%  Dev tools 10%  Business  10%  Hardware   8%  Video/gfx  8%
  2016  Dev tools 17%  Video/gfx 11%  Hardware   8%  Business   6%  Music      5%
  2017  Dev tools 18%  Video/gfx 10%  Hardware   7%  Games      6%  Data       5%
  2018  Dev tools 14%  Video/gfx  8%  Writing    6%  Games      5%  AI/LLM     4%
  2019  Dev tools 17%  Video/gfx 10%  Games      9%  Hardware   6%  Business   5%
  2020  Dev tools 14%  Video/gfx  9%  Games      8%  Hardware   5%  Writing    5%
  2021  Dev tools 18%  Video/gfx 10%  Games      9%  Hardware   7%  Writing    6%
  2022  Dev tools 21%  Video/gfx 13%  Music      9%  Science    8%  Games      7%
  2023  Dev tools 14%  Video/gfx 10%  Games      9%  Writing    8%  AI/LLM     7%
  2024  Dev tools 20%  AI/LLM    17%  Video/gfx 11%  Games      9%  Business   6%
  2025  AI/LLM    27%  Dev tools 21%  Video/gfx 10%  Games      9%  Data       5%
  2026  AI/LLM    33%  Dev tools 22%  Video/gfx 10%  Games     10%  Hardware   6%

We're working on SynDiary app. This is a private personal data hub that helps you bring scattered parts of your digital life and more together into one place, understand it and turn selected data into meaningful personal Projects. You are in control, all on our device.

Our free core brings your data together. Try for instant Calendar: export/ import - synchronise.

Coming: Projects turning your data into something meaningful. Editions will make it possible to experience, preserve and share.

syndiary.com Sveta(Co-Founder)

https://kvetch.io/conciliatower

I wanted to re-play SimTower but found it too difficult to get running through emulation. Instead, I worked for 6 months with Claude Code on a complete rewrite, replicating all the functionality from a Ghidra decompilation of the binary, an AI-generated summary of the original source code and my memory of the gameplay. Then deployed it to the web as WASM. I wanted the original feel of the game, so didn't create new art. Instead, you load an original binary you provide, and the on-page code parses it and pulls out the original assets.

I didn't look at a single line of code Claude wrote, but spent hours playing through the game and nitpicking every little behavior. A lot of time was spent convincing myself that the elevators just ARE that hard to get right >.<

I hope everyone can enjoy this game again. Did a writeup here: https://www.wyldcard.io/blog/simtower-remake-playable-in-bro...

source: https://github.com/Jonahss/concilia-tower

Since last month, our four Google Summer of Code interns finished their projects.

University of California San Diego has deployed our Wayfinder and Waystation web apps for their 35,000+ students!

We launched a redesign of our Android app.

Our next-generation server software, Maglev, is almost at v1.0!

We are always looking for more developers, biz dev, ux designers, product managers, and more to help out!

Open volunteer positions: https://ossvolunteers.com/organizations/open-transit-softwar...

Our software: https://github.com/OneBusAway/

More about us: https://opentransitsoftwarefoundation.org

https://SourceLibrary.org is a hub that now provides over 20,000 translations of classical texts in dozens of languages (Latin and Greek but also Chinese, Sanskrit, etc). We always provide the original image of the text next to the AI translation (so if you don’t trust it, you can do it again). For a sense of scale, SourceLibrary now hosts more words than English Wikipedia!

You can freely connect to the public MCP for research; that way AI can read books and not hallucinate quotes. In Claude, it also retrieves images directly into the chat.

This is a philanthropic project based at the non-profit “The Embassy of the Free Mind” in Amsterdam, a rare book library devoted to free thought and mysticism. https://embassyofthefreemind.com

SourceLibrary is totally free and open source. If we can raise the money, we hope to translate 100k books before the end of the year.

If you want to dive in, I’d suggest trying our research agent with a rabbithole topic of your choice: https://sourcelibrary.org/librarian/

Result so far (paper, 34 trading days): the no-AI control is +13.0%, the S&P 500 is +3.4%, and 25 of the 28 AI accounts are below the control. The best single account is a Grok-written "patience" book at +40%, which I treat as one lucky account in a choppy market, not a finding. At the trade level the AIs and the control look the same: 3,212 closed positions, median +0.06%, median hold about 2 hours. They trade a lot and mostly go nowhere.

Everything is public, including the losses and the retired strategies: https://aitradingcompetition.com/which-ai-is-winning.html and the full trade file as CSV at https://github.com/ckamelhar-collab/ai-trading-arena-data. Paper money only, not advice, nothing for sale on those pages.

I’m building the UK’s ‘big data’ charity with some awesome co-trustees and volunteers. We undertake big data projects in service of human flourishing, collect and synthesize datasets from hostile actors or freedom of information requests, and collaborate with other charities to build useful things that facilitate effective coordination.

The context is that I co-run the UK’s largest and most active landlord review platform ‘Marks out of Tenancy’, and the data we aggregated and ended up being able to host and query did a number of incredibly high impact things:

- our system for identifying how many people lived in a property started getting used to find victims of human trafficking - our system for checking for HMO licensing got picked up by councils to detect 100% of illegal or rogue landlords in the scan area, as well as detecting illegal short lets. - our longitudinal data collection on housing conflict between tenants and landlords directly led to increasing the rent repayment order threshold in the renters rights act from 12 months to 24 months.

So after seeing how much data is out there ready to be used for advocacy - but just left untapped by a profit driven sector, and after years of experience as ‘activist data practitioners’ or whatever you’d want to call it, we decided to launch something that could be a home for those projects in the spaces we’re in over here in the UK.

We’ve already got some awesome projects underway and we’re excited to see how year 0 goes for us!

The audio itself is in delivered with the restored classical Latin pronunciation and contains spoken nuances like vowel nasalization, elision, and prodelision. I used a wav2vec2 model to generate forced-alignment data, so you can easily follow along with the text as it's being read aloud. Each word in the text is richly enhanced with pedagogical details like: lemma, citation forms / principal parts, morphological segmentation and analysis, inflectional class with complete declension/conjugation tables, verb category, contextual lexical information (i.e. specific L&S sense), Classical Latin IPA pronunciation, UD style syntactic function and relations, predicate valency, and concise English definitions. Spoken instances of elision and prodelision can also optionally be displayed.

From a nerd perspective, one of the things that makes the system interesting is that the documents themselves are entirely in XML, and I use the soon-to-be-removed-everywhere in-browser XSLT feature to render the HTML, so you can see the underlying XML structure if you view source. Each sentence in the text contains provenance records so you can see the language model and parameters that performed each language enrichment task. The site UI is largely bilingual, and you can view it in either Latin or English.

Github: https://github.com/athos2113/fillvisa-os

Demo: https://fillvisa.com/demo/

US Immigration still relies on outdated XFA PDFs - you can't fill them on your browser. Most immigrants end up printing the form and fill it manually.

So, I converted the PDF forms into smart web forms. They are replica of the official USCIS forms and follow conditonal logic. In the output, you get the official USCIS pdf form filled.

Palantir like system – data, ontology, logic, actions, security, operational workflows – packaged as single cli, local first, git friendly text .cave files and sqlite3 instead of k8s-style complexity blowup.

Working on the weekends.

Next is probably extension of the language to integrate something like https://github.com/mirek/ast for arbitrary ast traversals/modification/generation/better integration with external world - other file types, but ast concept goes further than that, ie. filesystem is also ast, traversal is ast/xpath like walk.

Public domain on all my recent work.

• Users are given a prompt and have 2 minutes to answer.

• Speeches are reviewed by AI and other users.

Speaking eloquently "off the dome" is an incredibly useful skill, improving all your interactions with other people. And like a muscle, you can train it with dedicated practice until it becomes effortless.

It has been very fulfilling to listen to other people's speeches, knowing that we're helping each other pursue our shared goal of becoming excellent communicators.

If you're looking to improve your public speaking, I recommend you give it a try! https://apps.apple.com/il/app/orate-practice-speaking/id6761...

I have slowly built out a set of tools for asteroid orbits and photometry (measuring how bright stars/asteroids are).

It is very rough still (Desktop only), and it only supports the FITs file standard.

https://www.astrometry.space/

Basically it is a full professional grade telescope processing pipeline in your browser. It does 2 queries to some custom databases to identify known asteroids and stars, but all image processing and calculations are done in the browser. This means the backend is pretty tiny. That said it is running on an old box in my closet, so queries may take a while if it gets hammered.

I built it since I have worked with quite a few astronomers over the past 4 years and I keep watching them do the same steps, purely built to make my friends lives easier. I wrote it all in rust and managed to compile it into wasm. With some help from fable as I am not a frontend guy at all, I built it into a small website.

Some of the code is public, the orbital mechanics code I wrote while I worked at Caltech. Which is being used on SphereX, NEO Surveyor, and the Roman telescopes to identify known asteroids. https://github.com/dahlend/kete

I already partially covered the last few months of app development in this topic. But actually, its development took way longer, as only this iteration started in 2024. So it is the end of a long milestone— this launch date initially was to be a year ago, but I procrastinated and missed important for such apps holiday season

This year I was able to go way beyond last year’s backlog, and now I’m releasing a fully finished app instead of early access.

I’m proud of the result — a lot of overengineered stuff that is not viable in any commercial product, especially in what appears to be a simple CRUD app. For example: image loading from blur, unadvertised but very advanced DnD everywhere, natural language currency inputs with sorting, platform-agnostic quick add, and many more.

Its stack is also very fun: it has been running on the Cloudflare Workers ecosystem since 2023, and is powered by a custom Inertia.js adapter for Hono (that predates the official adapter by one month, lol), with Vue SSR. That all enables me to write old-school MVC with Vue as a template engine for views. It also proved to be very easy to work with and cheap to run.

With a tsunami of vibcoded beige wishlists, my weird app stands apart, for sure, but I’m unsure about its appeal to the average customer.

Examples:

this table shows the outperformance of QQQ in recent years: https://chartrow.com/visuals/periodic-table#window=10

This page shows stocks that are cheap relative to their own multiples in the past 10 years: https://chartrow.com/visuals/valuation-dip?view=charts

This is a stock screener that shows histograms: https://chartrow.com/screener

This page shows stocks with high "shareholder yield" (dividend yield + buyback yield): https://chartrow.com/lists/shareholder-yield-stocks

https://gitlab.com/prbs23/freefall_800

The smoker hardware itself is pretty good, but like most IoT devices, the firmware and app sucked. So I reverse engineered the whole control PCB, and have been rebuilding new open source firmware from scratch. All the basic functionality is working now with a fully local control web app. Plus an Andoid app, and Home Assistant integration.

Currently working on interface refinements, and some more advanced control sequencing features.

I wrote up all the reverse engineering details in a blog post here: https://www.prbs23.com/blog/posts/reverse-engineering-gravit...

It started with a family member telling me they were frustrated with existing websites. What I noticed is that in many cases they feel cluttered and not smooth to use, almost like a 1-to-1 translation of the underlying database queries, where they have you choose filters and sorting options upfront then browse the paginated results.

I wanted to avoid all of that by creating a different experience; I built an interactive full-screen wall UI with infinite browsing so that most of the screen space is dedicated to the core content. I worked on the name sampling algorithm to try to make it as enjoyable to browse as I could, and the only filter displayed by default is the one to select genders.

More advanced queries are available through the search field which supports natural language queries, running on a local multilingual interpretation engine with a cloud LLM fallback. The database engine is custom built with Rust, compiled to WASM for higher performance when running on CloudFlare Workers. I don’t use an external DB service for names today.

What I’m pretty proud of is to know a lot of technical work is hidden behind that UI, and how it has been shaped by the experience I wanted instead of the other way around.

0) money-money-money: A sub 15Kb server-less opinionated household budgeting tool [0]. Why? Its made to be extremely compressible, so you can edit your household budget and share back and forth with your partner via short-links or QR codes. The idea is you edit your budget, send the link to other party, they can view or edit and send back to you without a server in the loop. [0]

1) slices: An alternative AI-first ADHD-friendly architecture experiment where everything you code is a "slice" with a shared event pool. A slice is a fully self contained "feature". Slices can only communicate with other slices through a shared event pool. Inspired by small-talk, vertical-slice architecture, and ADHD. I used slices to build a self-modifying IDE too. [1] [2]

2) text compression experiments: I'm experimenting with approaches to compress text in pursuit of the Hutter prize. The idea is to take the entirety of the English Wikipedia, and compress the text as small as possible whilst still being able to reproduce it. [3]

3) tiniest maze solving neural network: A write-up work in progress on a maze solver I built with heavy LLM help, managed to get a 14 byte neural network solving 96% of unseen mazes. [4] [5]

[0] - https://con-dog.github.io/money-money-money

[1] - https://github.com/con-dog/slices-demo

[2] - https://con-dog.github.io/slices-demo/

[3] - http://prize.hutter1.net

[4] - https://github.com/con-dog/tiny-neural-network

[5] - https://minimio.ai/

https://www.opairdev.org/

It has 2 modes, driver and navigator, that work like the driver/navigator roles for a human/human pair. In driver mode, Opair is similar to other harnesses but with less autonomy for the agent. In navigator mode, Opair has no access to writable tools at all. Instead it monitors the project directory for changes as you make them in your regular editor, and comments on them in real time.

Why? Because big changes are harder to understand if you're not directly involved in working on them, and I want to understand the codebases I work with. I use it as my daily driver and it's perfect (for me). I recommend everyone should consider writing their own harness. When you spend so long working with something, it's nice to have it perfectly tailored to your needs.

BongBong tank shooter game. My first game. I wanted to recreate a game that is kind of a mix between old Battle City (NES) and Dyna Blaster, which I used to play as a kid in the 90s. I wanted to have a game where you don't just have retro graphics and beautiful explosions with realistic physics, but I also wanted to capture map building and playing with your friends - locally and online.

I'm building it in Rust and Raylib, using modern agentic approaches. Both Rust and Raylib let me compile and run the game locally on Mac/Linux/Windows and in the browser via WASM. I've also managed to get it to run successfully on Apple iOS. I will likely venture into Android as well, as I want a game that works across platforms so people can play it regardless of their platform.

Any feedback whatsoever is greatly appreciated. :)

I also just added https://kadaster.club/mcp so an agent can query the same data and even look in the data available on https://omgevingswet.overheid.nl/ to answer question around what is allowed and what permits you need for a specific location

There's currently not a way to invert LaTeX engine output for bidirectional editing. So you can't easily drag objects around or interact with the page on LaTeX. That's what I'm setting out to change in the name of mathematical exposition.

I have more details on my plans here https://smackernews.com/item/49689856 HN

I've experimented with a few ways of making the editing realtime and I'm getting in the 10 millisecond ballpark on some edits, but I want to work backwards from the light speed path to see what it takes (besides a lot of time).

But overall it's a struggle, the site is still in Google jail/sandbox, so it's not even seeing any Google impressions. So most traffic is due to being very active and posting wherever I can.

- I am implementing my own MCP server in Go for Bitbucket. This is more of a learning project for me (I was curious about MCP servers), but I also didn't find any MCP servers that have a clean codebase. Many seem to be vibe-coded, and as I work at a company where security is really important, I thought I would implement my own. (Still a WIP: https://github.com/pid0x17/mcp-bitbucket). I haven't touched this project in a while, though, as I am focusing on Nand2Tetris.

- I am reading the Rust Programming Language book, but I am still in the beginning (just finished Chapter 3 on the weekend).

There are a lot of small languages in the world, and translation used to be extremely expensive. And there is never too much good space sci-fi.

(We don't write space battles or wars. Our style is slower and bit more philosophical. Light speed is the limit, and travel takes centuries.)

https://eyesoutside.org

&

Hardware for kids and parents to stay connected without screens:

https://readychime.com

A UK-based flight deals service aimed specifically at parents who can only travel during term-time.

Having this issue myself now with two children whereby flight prices double going into school holiday season, I have always wanted some kind of service which alerts me of good deals.

I still have a long way to refining the actual product, but trying to fit the development around work commitments. AI helps obviously, and does 90% of the coding.

It's an app to get sleepy without meds. Simply close your eyes and imagine the micro-scenarios you hear. Like if you hear "moonlight on a white flower", imagine that scenario until you hear the next one. Session duration is also not too long (10 minutes default, you may change the session duration too).

It's like a digital melatonin pill - but without chemical side effects. Try it!

Was trying to combine AI with generative storytelling with a card game. It was a fun experiment. To play, you'll have to get a friend to queue up at the same time.

1. Constructivist rather than propositional logic, so propositions can be true or false or unknown.

2. Compiler which targets the Linux ABI (in progress). An interpreter exists and acts as an oracle for tests.

3. Built-in row polymorphic effect model.

4. Fine-grained capability and resource-based security.

I aspire for it to have a comprehensive first-party software catalog.

https://github.com/swe-toolkit/ken

[HUMAN-CODE] - code written by humans

[AGENT-CODE] - code written by Claude/Codex/Other agents out there

[HYBRID] - Combination of Humans/Agents

I would prefer to go through projects where people are writing code themselves. And this kind of tagging would help me filter through easily.

I moved to London and was drowning in tons of 500 person whatsapp group chats to make friends. It took way too much executive function just to go to a bar.

The way I think of it: chat apps like whatsapp and iMessage were designed around chatting. Facebook, Insta are designed around engagement with strangers, you coming is designed around hanging out.

How it works:

- add some friends, acquaintances, that person you met at that thing - throw out an idea, doesn't even need a time or place at first - or add something to your bucket list in your profile - people can opt-in, find a time if needed, or even pitch a plan everyone can vote on - chat only opens once the people-time-place is set, and self-destructs after the event - you can share events and collect RSVPs with people off-app, so not everyone needs to get it

I will start some curated events in London soon too (if you have events you'd like to see on there in your city, let's chat!)

Until then, check it out?

https://youcomingapp.com/

Lots of strays where I live, so I wanted an app to photograph and identify street cats and help get them adopted. Written mostly with Claude.

The recognition runs on device: Apple Vision detects the cat, DINOv2-Small decides whether it's one already in your library, SigLIP2 names the coat.

No accounts and no backend. There's a trading mechanic on top where you can trade cards via Wi-Fi (with Bluetooth as a fallback) and levels for both the user and each cat.

You can also turn any cat into a shareable adoption poster.

TestFlight is open, so feel free to try it.

Really exciting stuff is happening literally every month, because underlying models are getting better and better. When I started it was pretty basic: “make a cube with a hole through it”. Now it’s at the point “make a raspberry pi 4 case” and the agent searches, builds, verifies…

What surprised me in this process is how little meaning AI benchmarks have. Pareto frontier for my use case looks completely different than any other benchmark portrays.

android: https://play.google.com/store/apps/details?id=com.fermentme.... ios: https://apps.apple.com/de/app/fermentme-recipes-tracker/id67...

I'm building a video game. It's part Valheim, part Ultima IV:

https://stravaeger.com/

You can play the demo in the browser now (mobile as well as desktop), but I'll be packaging it up for Steam soon.

It's all vanilla javascript, html and css. No AI, no 3rd party game engine, no build system even, and just a couple external dependencies for things like networking that I didn't want to reinvent myself.

It's been fun. I'd love to get some feedback!

I built it because I wanted to see if there's merit to the idea of incremental reading[1] and it worked so well that it turned into the main way I read things now.

[1] (https://en.wikipedia.org/wiki/Incremental_reading)

As many of us here, I sit too much in my chair during the day and I'm trying to stretch more often and strengthen my back/core muscles.

There are a lot of "free" apps out there e.g. Bend that are helpful but I was annoyed with ads and limitations so I built one for myself. Now I use it daily.

The app is simple, you have about 100 routines to pick from and you can even build your own from existing exercises. Each routine comes with simple images, a link to a Youtube video and a timer. There are a lot of 5 minute routines that are perfect for a short break during work.

There are no accounts and I don't plan on adding any more features unless highly requested by users. I've built this for myself but I'm sharing it here as others might find it useful. Any feedback is appreciated!

https://flexito.fit/

https://alint.org/

https://alint.org/blog/why-alint/

MiSTerFin is written in C and I'm much savvier with Go these days, so I (and my helpful Codex prompt) forked it and ported it to Go (where appropriate). I've since been obsessed, making improvements, smoothing out rought edges, and adding features, all get a great Jellyfin player on my CRT.

And I have to say, watching Robotech episodes on my 4:3 CRT from Jellyfin is a shot of nostalgia directly into my veins.

I'll add a bit more polish and get it published this week for others that might be interested.

It's a news aggregator focused on furthering our understanding of how cryptography is evolving. We're aiming to monitor the people on the ground who are doing the actual work, and amplify them.

The front page is a curated low-volume stream, but there's an all-news feed as well.

After producing Feisty Duck's Newsletter [1] for 12+ years, I built this for myself to make my life [following events] easier, but decided that it might be useful to others as well.

[1] https://www.feistyduck.com/newsletter/

https://github.com/AttemorySystem/spire-agent

A retrieval engine that using attention to retrieval, achieved several SOTA results on multiple benchmarks(LongMemEval, LoCoMo, code search, etc)

https://github.com/AttemorySystem/attemory

At the moment, even if you set up SSD for foreground operations and HDD only for background, more often then not, your write latencies are those of the HDD. We can do better.

See https://paquari.com/posts/bcachefs-ssd-hdd-progress/ for a progress report. (Disclosure: the write-up is an AI summary of my notes, so don't expect any brilliant prose.)

I'm also working on resurrecting stabilizer (https://github.com/matthiasgoergens/stabilizer). Stabilizer is a way to make program performance less dependent on the linker and layout lottery. But it has sadly fallen victim to bitrot.

I'm doing some minor contributions to other parts of Linux like ZFS and ext4, mostly as a byproduct of experiments I'm running for my bcachefs work. Another somewhat ambitions project is to make swapfiles on ZFS and bcachefs work (or work better), at the moment the problem is that writing swap on them might need to allocate memory exactly when you are out of memory.

Built this 18 years ago. Flash arcade game engine. 10,000+ games built by users on it. 2+ million plays. Lets you build mashups of classic arcade rules like Breakout+Space Invaders as one example.

It's been unplayable since Adobe killed off Flash. It uses a lot of dynamically loaded remote assests so Ruffle hasn't been able to run it.

Recently had Claude Code fix the Flash client so it would work in Ruffle and then had it convert the code to haxe (let's call the haxe version v2). It was an interesting conversion because Claude made a lot of wrong assumptions about how the engine worked so had to have it test every feature and match parity between the ActionScript version and the haxe version numberous times and play test it all. It's pretty close to parity now but still ironing out kinks in the engine. The existing engine art is very 2010esq.

On the game editor side converted it (it just re-wrote it) from ASP into JS. Now with an AI agent to help configure the settings and generate fresh artwork in additional to the manual editor.

The art has some very specific rules about orientation etc which the pixel art generation models seem to struggle with a bit but getting that aligned as well.

It lives again!

[1] https://vpspricetracker.com

Why? There's no why. The world doesn't need another Markdown editor. I still made one.

Everything is on-device, purposefully human-centric without being anti-AI. I built this because I wanted to work on a project that I could sweat the details unconstrained by deadlines, investors, etc.

I was frustrated with other writing experiences, and like most I gravitated to Apple Notes due to simplicity, but I still missed so many things. As someone that's spent the last 2 years immersed in Cursor, Codex and CC, I wished some of their input behaviors existed in a regular text editor.

For example, you can use / to add styles, or : to add emojis, shortcuts like < 3 for a heart, - > for an arrow, and so on. It honestly feels great.

Is it radically different than other editors? I don't think so. But I think it's well executed across every dimension possible.

Maybe one different thing: multiplayer. It's live editing like google docs, but P2P using WebRTC and strong cryptography. The limitation here is that you can only share a file while having it open yourself.

Great care was taken to performance and portability. This is one of the areas where I spent a ridiculous amount of time simply because I enjoyed pushing the limits of the stack. While using you will notice that rendering, GPU, RAM and bundle sizes were heavily optimized. The Mac app is < 50mb.

Very soon, I'll launch an iOS version with iCloud sync. In the future, I might launch basic AI features. If you miss a great text editor in your life, give it a try.

You’d start a reading session and the dragon would read alongside you. What you read would influence its appearance and habits; lots of sci-fi might give it starry wings, for example. It won’t die if you go a week without reading.

The plan is to keep it playable offline, with optional syncing to Booklary, the reading tracker I’m building. I’m leaning toward C++, which I never used, so it’ll be a learning experience.

Currently waiting for the Waveshare board to arrive so I can start development, and looking for an artist to commission the pixel art. Used GPT to design a concept[1], which I’ll use as examples to the artist.

This will be my first ESP32 project, so getting the dragon blinking on screen is the first milestone.

[1]: https://i.cpimg.sh/57EC5380-0FF7-4646-A943-971350FF98D2.png

I've also written a plaintext to QTI quiz converter since creating quizzes on Canvas is so slow (I realize, of course, many other people have already made these... I just happen to like mine). It currently supports fill-in-the-blank, multiple choice, matching, true/false and word bank style questions. You can also generate a printable (DOCX) version of whatever quizzes you make.

Here's the site: https://www.hacksforeducators.com

All the tools are free, and there's no login required. So if you are a teacher that uses Canvas and think any of these tools could help you, check them out!

timetravel debugging and observability on steroids. Deterministic replay that works across operation systems and cpu architectures. 70% as fast C, record one one platform, play it back identically anywhere else. Fits inside apps you already have as an embeddable language.

it's a CLI toolchain with a code generator and linter.

I invested time into this because:

1. Go is a much less wasteful SSR solution than JavaScript.

2. Datastar + Templ + Go is a highly effective combination.

3. I wanted a set of tools that not only helps getting started with a project fast, but also allows me to make it easier to maintain, especially with coding agents.

v0.10.0 should soon move it out of alpha into the beta stage.

It uses the kitty graphics protocol to render big headings. It works by loading your file into scrollback and using apple events to jump around scrollback rather than re-rendering the section you want so it feels like reading a pdf in your terminal.

Ghostty + macos atm, but might expand to other terminals supporting kitty.

https://github.com/spencerldixon/lime

https://www.youtube.com/@itspshemektech

My wife and I are working on a math/science/CS-inspired jewelry: pieces that stand on their own aesthetically but have a hidden meaning.

We currently have two styles: lambda calculus based pieces (we depict the Tromp diagram) where we have Y-Combinator earrings (well, strictly speaking they are one beta reduction away from Y-combinator. Aesthetic oblige) and a pendant depicting a lambda expression computing Graham's number. The other style is quantum computing circuits, based on quantum computing research my brother (a physics professor) is doing: a pendant that is actually a non-local controlled-NOT gate.

I wrote a tiny DSL to describe the jewelry pieces, and an interpreter to produce CAD files. We then either 3D print them or have them produced by lost-wax.

We have our pieces in consignent in a jewelry store, and are working to put them in a museum store.

Marketing is the hardest part. Ideas are welcome.

[0] https://blog.janestreet.com/protocol-emulator-asic-competiti...

https://supso.org/projects/sup-xml/docs

functional, OO and dynamic, its 'extendable' from within the language.

- Unicode so Symbols are legit.

- functions are first class objects, assignable to variables.

- classes are hash with functions assigned to members giving methods.

- as much as possible is defined within the language so its self extending.

- pre/infix can be defined by the client programmer so parameter ordering is under control.

- use loops and break and conditions to define all the various loop syntax sugar you know and love.

- FFI is nearly trivial, ncurses and sdl wrapper examples

TODO

- complete control of the AST from within the language

- further optimisations

- ffi needs further work

https://github.com/seanbutler/vo Claude assists and implements some of the features

Still under regular development. Happy to talk with collaborators if this kind of thing interests you too.

It was a pain point from a start up I cofounded before where we needed Kubernetes flexibility but developers hated using it. I figured there was no reason why it had to be hard to use and thus Canine was born.

Lately been playing around with setting up remote dev containers on your own compute as well -- basically like github codespaces, except self hosted.

Built in Rails + Stimulus

It's mountaineering safety tool I've been making for my friends and I.

The fun part: if your browser has WebGPU, the page solves that field live as a compute shader (about 35 ms on an Apple GPU) as you scrub the timeline, and draws the flow over a 3D terrain view. Browsers without WebGPU get a precomputed field.

https://mattduran.dev/summitwind/

Ranges and uncertainty only, no go/no-go verdicts. That still requires your best judgement as a mountaineer. Next up is a free-play mode where you set the wind direction and speed yourself and watch the field re-solve.

So I built a small system on top of the API of my bank, bunq. I set up a round with items and prices, share a link or embed the signup form in an existing site, and everyone who signs up immediately gets a payment request in their banking app. I can see who paid and who didn't, and refund someone with one click if they drop out.

It turned out to work for more than purchases: I'm using it for our neighbourhood day this Saturday for dinner signups and collecting information like dietary preferences.

README is very bare bones, needs a video or a picture too. The website should tell you some more things: https://kavla.dev (and now the demo does not require a login (also need to remake the demo to fit the new self hosted version))

It's still lacking an analytics agent for the local version though. I've explored using codex CLI, but it feels like its extensive system prompt cripples the agent a lot vs Kimi 2.7 that I've been using in the cloud version.

I think it would also be nice to lean into the fully local LLM setup too, especially for data that shouldn't leave the device.

This is my "use AI to finally build that totally frivolous website you've had in the back of your mind for years" project.

$2 of every card sent benefits the Jazz Foundation of America.

I'm a Senior Eng on Wall Street, so I have my own personal experience with this problem, but i'd love to connect with other leads, release managers, etc to get their thoughts, suggestions, and what their current process looks like.

I'm thinking about buying all the strains and pushing them through my automated sequencing pipeline, and building a yeast genotype -> flavor converter. Then, I think it'd be neat if you could have someone try a bunch of wines to get their favorite, and then genetically engineer a yeast strain specifically for their favorite flavors. Think that could be neat.

We’ve been using it for a few months, so now I’m trying to tidy it up so others can use it too.

https://mealplannertool.com/

https://top3.best/

I mainly built it to explore which areas have model consensus and which have diversity of opinion.

I set out to solve that with https://stayupfront.com and now that the build is in a good place i’m finally having to bite the bullet and learn marketing. I’m also realising that all the advice to start with marketing first was probably good advice!

I already have one for product that takes in a bunch of sources (feedback, PRs, my own tasks, etc) and makes it trivial for an agent to guide me through the day's tasks. Now I'm doing the same thing for growth by taking in web/social triggers, web analytics, and other signals to spin up marketing tasks. We'll see how it goes!

[1] https://yaak.app

https://nashist.naiyerasif.com

Most recently I shipped an MCP server (w/ OAuth sign-in) recently to expose the API a bit better to agents, a TypeScript SDK and rewrote the CLI to use it. Also been reworking the terraform provider to cover the whole OpenAPI spec's surface area.

Just before LLMs became a thing I took the time to rewrite from having a private GraphQL server + public REST API to just using the REST API to build the product, super glad I did.

I've launched this site to help run them from a web UI: https://athanortools.com/, published Rust and Python libs and a CLI application, and integrated them into my mol viewing/editing software Molchanica.

I started it because I wanted simple brain-training exercises that didn’t require an account, app install, or subscription.

It’s also open source: https://github.com/loethen/freefocusgames

https://smackernews.com/item/49686888 HN https://agentspork.com/

A copy utility that can efficiently deduplicate as it copies, even when the filesystem structure is different. Whilst there are many utilities that can deduplicate, they often either rely on files being on the same filesystem, or having the same structure. If a duplicate is detected, it can either be omitted or hard/soft links created to files in one or more reference locations. In practice I have found this to be invaluable for merging and efficiently consolidating multiple hard drives with partial backups of photos and music, maintaining the complete trees of all sources on a single destination, or only copying files that are new.

Secondly, an efficient protocol for text applications over a network. Think a combination of TN3270, SSH and JavaScript, with a very lightweight client/server architecture. Whilst SSH is great, latency kills many practical applications - this attempts to solve that. It also intends to make applications very simple to implement. As a proof of concept, I implemented a simple forum with login, optimistic posting, quoting, a text editor with mouse support in about 600 lines of code. The protocol, client and server themselves are agnostic to any particular UI toolkit.

Thirdly - microfish, poor person's microfiche using laser printers and autoencoders to preserve readability and machine recoverability of high density prints. Since consumer digital archival media seems to be dying...

It's an approach to defensive security for software products (especially smaller companies) by acting as the security team you don't have/can't afford. It does security recon/analysis, etc via AI.

I got tired of all of the LLM labs building firewalls of "oh, nobody is allowed to do security research/find+fix vulnerabilities in their software unless they apply for special registration."

Instead of saying "oh, anything that the model determines is security research is a vulnerability threat", it does reliably enforceable analysis like "look for a TXT record in DNS the same way a SSL provider would ensure you own the property". So it can do "live" penetration tests against your infrastructure if you provide authorization

It handles things like incoming "security researcher" e-mails to cut down on the noise of nonsense vulnerability reports by acting as your security team that defends against the reports

It provides provable/signed attestation that a pentester has checked your code/live infrastructure/APIs/etc and validated them, and/or has done a check after you've remediated whatever issues that were found. It helps all 3 sides of the "company needs pentester" and "pentester" and "auditor"/"customer" to come to agreements on what's important and what's been solved

I wonder if Claude Code could do this. That's a useful metric for the future - if a coding agent can't handle the breaking changes in a package upgrade, it's the package's fault. The day may come when that's something Github Actions checks for pull requests.

The plan is to enable any tracked camera to relocalize against the same coordinate frame and share spatially-anchored data with one another, enabling across-ecosystem interoperation of spatial computing systems.

For example, a human with an iPhone can scan their home and use that map to guide their domestic robot (clean _this_ room). Data from iOT sensors can be viewed in a 3D map in their real location. Or someone in an AR headset can view yesterday’s surveillance footage in the same room where the footage took place. Android and iPhone users can share the same AR experience, and a remote viewer can observe and guide them from a birds-eye view, all from their phone’s web browser.

My problem: I’m a software guy (former Apple ARKit/Vision Pro computer vision engineer) and I’m struggling to navigate the business side of things. I’m looking for a business-savvy cofounder to help find the market and then seek funding.

If it sounds interesting, reach out and I’ll share a demo!

Find single long-period mono-transits in public TESS light curves — the single-transit events that periodic pipelines (SPOC/QLP, which fold on a period) structurally under-find. Built so many people can each search under-covered targets and combine machine-readable finds.

I usually search 5k stars each run, you have to be lucky to find something, would you give it a try?

Also: kids can code using cardboard cut-out blocks and just take a photo to import, generate Arduino firmware, compile and flash to ESP32 - all from a single docker web application.

Hoping to bootstrap a cheaper, open source alternative to current systems (one of which my son is using at his school). I have had success doing this with another project on Patreon so that's where it is going to be launched. https://www.patreon.com/ChonkyBlox - so far just a couple of demo video's but code will be released in full once I have added more blocks and a tutorial.

Ultimately this is aimed at the South African education sector, where many schools may have only one computer available for a classroom to share, hence the cardboard cut-outs. There is also a hardware component still in development - a simple pcb breadboard break-out with connectors for components instead of kids having to use jumper cables on the breadboared. We also have a working Desktop application which does code assistance from within the Arduino IDE - using the same web server with api, so literally everything from very small kids to advanced is covered.

https://ffmpeg-commander.com

I originally built this around 7 years ago in Vue2 and Bootstrap as a simple static frontend tool to generate common ffmpeg commands.

I recently ported it over to Vite/React/Tailwind via Claude (Opus 5) and thought it did a pretty good job. So refreshed it as a version 2.0.

Quite impressed how fast AI was able to port this over. It made me think about revitalizing some old projects. :)

Live2D is the company that makes the editor and runtime for many game and vtuber(virtual YouTuber) applications. They have a monopoly on the market and I want to change that. Their application is slow, buggy, and a monthly paid subscription to keep using it along with perpetual licensing costs to use the runtime.

Umamo is in the early alpha stage right now, but I'm planning for a Christmas release of an end user workable experience.

I'm preparing the v0.3.0 release today. It's a big release that adds the full pipeline for ingesting layered artwork, texture atlas packing and editing, and more.

https://github.com/umamoorg/umamo

The goal is to have a very fast terminal mail client where you don't have to wait for any operations and that is tightly integrated with notmuch(a common mail full text search engine) tagging engine, and other workflows(like crm queues and ai summary's if enabled in the config).

There is a document that explains why it was made in go. It has the best notmutt cgo bindings, and there are other reference terminal clients I can use as reference. althogh himalaya(rust) also looks interesting.

I would love to get some help with it, but I don't know where I should post it to get people interested.

https://github.com/fishman/notmutt

https://fishman.github.io/notmutt/

Events/meetups are either paid or recurring at a per month or above frequency. These are not enough to develop the same camaraderie you’d with a coworker that sits next to you.

In any type of coworking space, anecdotally, people rarely ever ask others about work BUT if somehow (charger, wifi password etc) conversation initiates, people enjoy talking about it. This is unfortunately rare and you will never really see the same person again.

The app does these things (at least) - It lets you meet other remote workers publicly in a work setting and gives you an opportunity to connect professionally (or personally) over and over - Three people max makes it much more intimate than meetups where conversations usually center around people that are very expressive.

Only in Bangalore for now and completely free!

I also recently resumed working on picosnitch, a per executable network monitor for Linux. I rewrote the UI, ported the core from BCC to BPF CO-RE, and used AI to benchmark the completeness and accuracy of it. I let AI decide the tests entirely on it's own to hopefully eliminate any of my bias and published the results here [1]. It identified one gap I'll be fixing in the next release, and is currently the most complete and accurate bandwidth monitor on Linux.

[1] https://elesiuta.github.io/picosnitch/comparison/

Tell us what apartment you want.

We filter, sort and reach out to confirm apartments actually have a unit that meets your criteria by the move-in date you're looking for.

If they do, we schedule a tour for you and manage your calendar to ensure all the tours you book are nicely coordinated (with Uber rides scheduled if you need!).

No more emails, texts or spreadsheets and we also protect your privacy from post tour spam.

Once you find the unit you want we help you review the lease agreement, know what discounts to ask for and assist with scheduling movers who won't rip you off.

We're curious about how many people are using agents like Perplexity, OpenClaw, Hermes, Claude or others that support open skills and MCP to find an apartment.

We recently launched skills and MCP integration for agents at https://fless.io/ai-agents or via github / PyPI and other channels.

Check them out and let us know what you think - we respond to DMs!

https://smart-notes.xyz

The idea is to make an extension that allows you to flexibly fill out fields on your cards with AI generated text, speech, and images. Think generating example sentences for your entire deck, or adding furigana to kanji (small phonetic characters with a very delicate syntax). It works just as well for language learners as it does for medical students, etc.

The secondary goal has been to make this the most well designed, intuitive, and stable Anki extension in the world. I don’t think it’s there yet, but it’s on its way. It’s been very interesting to try to work out a design that affords the flexibility to generate anything for whatever you’re studying but remains approachable and discoverable to your marginal Anki user, many of whom are younger and have varying levels of English ability. Many interesting technical challenges as well.

Slowly building towards the Show HN post, but need a few more features. Connecting with and chatting with dedicated users in countries around the world over the last few years has made this the most gratifying thing I’ve ever built! It’s still at the scale that receiving support emails is fun and I can build relationships with power users and long term subscribers.

iOS: https://apps.apple.com/us/app/introkeep-qr-connections/id679...

Android Beta:

Join google group by clicking "Join" - https://groups.google.com/g/introkeep-testers?pli=1 Click on "Become a tester" - https://play.google.com/apps/testing/com.nexaitech.introkeep... Install it from the Google play store - https://play.google.com/store/apps/details?id=com.nexaitech....

While that's been frustrating, most my fun has been on the non-tech side. To get a break from the computer last year, I ran the length of Japan (around 3,400 km). And now I've been helping my partner edit the videos and stick them on YouTube:

https://www.youtube.com/watch?v=50oQQThXWnc&list=PLVFWiVG-hZ...

US Energy Cost Explorer (https://energy-maps.com) is a free tool for exploring electricity and natural gas costs across the US. You can compare states, follow prices over time, and look at bills and energy burden. I work in energy affordability, and I wanted to make this information easier for people to access and understand.

MarketGround (https://marketground.io) lets you draw an area or choose a travel time around a location, then explore its population, income, housing, and nearby businesses. It also shows daytime versus nighttime population, which is useful when thinking about who might actually be around a potential store or restaurant during business hours.

MarketGround is a side project, and I’ve found getting it in front of potential users harder than building it. I’d be interested in hearing from anyone who has evaluated a retail or franchise location. What information mattered most, and what was difficult to find?

https://ottercalc.com/

It has the ability to generate a small notebook from a problem description using AI (still has a lot of room to improve), but the calculation uses a deterministic engine.

Right now I'm working on collaboration.

So over the years me (and my team) have built up a lot of experience dealing with these for sensitive industries like healthcare/insurace/lending etc.

We are bringing these ideas out as a router to other parsers, but with some key takes that allow you to manage failures. "Failure is inevitable so route for it."

It is called Openreading - https://openreading.ai/ and open core here: https://github.com/openreading-ai/openreading-core

It is still WIP and will be more polished in a month after some more rigorous testing and benchmarks.

If this is a problem you deal with, would love to chat.

Note: the intent is to launch a managed version that provides more durable compute/retries, parallel execution, intent understanding etc but this is for later.

The idea is simple: store state you'd normally store in a separate database in the document itself.

Then, also give the the document a bunch of powerful APIs granted to it by its host:

(1) Sync changes to the document with live collaborators

(2) Extract data from the document using a simple JSON map config

(3) Boot up a full content CMS from the same simple JSON map config

(4) More features added every month

I'm really excited with even the tiny bit of early traction I've gotten. About a dozen paying users so far.

Long term, I'd love to have this file type (vanilla HTML file + some extra features granted by the host) become a file type other companies offer tools and their own hosting for (like Wordpress).

Hosted platform: https://hyperclay.com

Native offline apps (source available, almost MIT license):

- https://htmlclay.com

- https://hyperclaylocal.com

Modes:

- Solo → 9 photos by yourself - 1v1 → compete against a friend, combined grid at the end - Squad → everyone contributes to a 20-photo grid

No accounts, no app install, no personal data stored. Photos and generated grids auto-delete after 24 hours from Cloudflare R2 storage.

Made it for fun to find a way to do a shared a activity with my girlfriend and also to challenge my friends over the weekends.

Currently redesigning the frontend flow but I am kinda poor at design

Would genuinely appreciate feedback, ideas or anything

It's a puzzle game -- numbers on a board -- where the gap between numbers dictates the arithmetic operation done to them.

The goal is to use all the spaces on the board to make sums of 12.

Have shared it a few times on HN already, but keen to hear from anyone who hasn't tried it yet!

Getting all the product right (ish) around multiple devices, family invites, installing on kid devices, etc. was way more difficult than the actual generator. But I get darn-near furious when I'm just trying to get an app on a kid's iPad and I have to manually type passwords four different times, so making that smooth was worth it.

https://tellmeapenguin.com/

The basic idea is to separate an application's UI semantics from the toolkit that actually renders it. The same application can currently be presented using native Win32, Cocoa/AppKit, Qt6, GTK3, GTK4, Swing, or a web browser. The UI can run locally or be rendered remotely by a client, without the application itself being rewritten for that environment.

I've also been working on a declarative layout format and, lately, a visual designer.

It started as a rewrite of an architecture I worked on many years ago, mostly because I wanted to see how far the idea could be pushed with modern systems. It has turned into a considerably larger project than I expected.

Still private and very much under development, but I'm curious whether other people have run into the same problem: maintaining applications that need to survive changes in GUI toolkits, operating systems, deployment models, or client environments.

My grandmother and I have always played word games. In the last three years she has lost most of her memory, and one by one the games stopped working.

Crosswords needs old words, and they don't come. Trivia wants old answers. Sudoku needs her to hold numbers in her head while she checks them, and that's gone too. She really tries hard, but I just can't see her trying so hard and not able to do it.

What she still does, all day, is talk in half sentences. Only the needed words. She will read something and tell me in a few words.

At some point I realised that's what newspaper editors do. They cut a sentence down to the few words that still carry the story and call it a headline. She's been doing it without trying.

So I made that the game. A short sentence about something small and good that really happened, like a pizzeria that got eighteen prank pizzas and drove them to the ER. You cross out words until five are left, and the five have to still hold the story.

Nothing to remember: every word stays on the screen the whole time, she only has to choose. We play side by side. I read the sentence out loud, she points at what stays.

Every day it's an uplifting news article.

If anyone wants to try - https://sheets.works/long-story-short

- Cupertino - (https://cupertino.mgcrea.io/), which lets an agent into your Apple-ecosystem data without handing it the keys.

- Bastion - (https://bastion.mgcrea.io/), which runs each MCP server once for every client on the Mac, with credentials in the Keychain and every call logged.

And currently working on Armada - (https://armada.mgcrea.io), soon to be released, to give me better visibility on my fleet of agents and provide a higher level layer to interact with.

It's a screen time app/ app blocker that blocks distractions until certain programmable goals are met. For example:

- Block social media until you walk 10,000 steps

- Block Factorio until you physically go to the gym

- Block Netflix until you finish all your goals in todoist

The app is cross platform and available on everything (except Linux, which I'd like to change soon!).

Goals are all verified with real data from places such as your phone's GPS or fitness trackers. They can be programmed using a simple expression editor.

Right now I'm working on streamlining the plugin and goal system so that people can more easily write and share goals with one another!

The app is very customizable, local-first and is built to adapt to what you want. Goal is to combine habit tracking, health logging and journaling into one fast and easy to use interfact.

Have been working on it for almost years now and it's making great progress.

Doing closed user testing right now and will release an open beta soon: https://dailyselftrack.com/

My Astro Web Starter is built for building well-designed, performant and accessible websites. It contains everything a high-quality website needs (In my opinion). I built it so I have one good base on which to start my web projects on. Using basic HTML and CSS that can scale, without bloat.

There's a lot more on it which you can see here: https://starter.bryanhogan.com/

I used to love Team Fortress Classic, Counter Strike, Call of Duty, etc. back in the day. I don't play multiplayer anymore being in my mid-fifties with worse reflexes and no desire to be continually one-shotted by 24/7 players. This game is my answer to that and I'm having a blast so far making it and playing it.

It'll launch on Steam when finished, hopefully early 2027.

Built for myself and my companies, OSS, maybe looking for a founder if anyone wants to make it be something, I got enough things to run heh.

Hope that is no problem that I use this thread a bit for self-promotion. If so just write a reply I'll remove this comment if this is a problem

I maintain LibVLCSharp (https://github.com/videolan/libvlcsharp) and work on VLC for Unity (https://videolabs.io/store/unity). Lately I've been building VLCLR, which lets you write native VLC plugins in C#, and experimenting with local AI for real-time video analysis.

Also working on Kyber for Unity (https://gitlab.com/mfkl/kyber-unity), bringing low-latency video and robotics tooling into Unity.

On the side: Totemancer (https://totemancer.com), a turn-based territory game on Telegram with a hand-written game AI.

7M+ people and 3M+ organizations mapped, you can visualize entities associated with an organizations up to 1k nodes, or visualize someones graph visualization(relatives, partners, phd advisors, org connected to entity. Wikidata based. There is also a feed section: https://humansmap.com/?feed=1 Better for mobile use, here you can explore family dynasties, org memberships, interesting relationships. I increased db size lately, so there is still some latency, due to entities not cached in memory and limited ram.

I am building a new kind of LLM runner which lets you understand the internal reasoning process, and which can be automated to intercept hallucinations and prompt injections before they cause more damage.

(No public code yet, but I do intend to open source it)

Why did I build it? Well, there are other email products that connect to (e.g. Gmail/Outlook) mailboxes and use AI to process email content e.g. Superhuman, Shortwave, Saner.AI and the Gmail/Outlook ChatGPT apps etc. But I wanted something that gives a unified interface for all the major providers and works through MCP so it can be used across all top LLMs, open-source or proprietary. I also wanted something privacy-focused that never stores emails: it only processes email content transiently via agents powered by open-source models. These agents derive email intelligence that ChatGPT/Claude etc can query to help the user process/understand their email accounts in more ways than are currently possible with any existing AI-powered email service as far as I know. The ultimate goal is to create a dedicated voice-first provider-agnostic intelligent email service that gets better with time as intelligence is built up about the user and his/her mailboxes.

I am actually looking for someone willing to work on this with me as a co-founder, expending blood, sweat and tears, for 50/50 equity and hopefully subsequent honor, recognition and maybe even commercial success. Preferably someone able to meet up in London occasionally. I am not looking for investment of anything other than time and effort (both of which will probably be expended outside of normal working hours for both of us).

If interested in learning more about the product or in getting involved, you can reach me at hello at haimailassistente dot com.

Added models and pricing there recently too. Aiming to be a huge place for all GPU data when it comes to mathematical performance. Things like FP8 for AI inference etc.

Tempted to make the infrastructure a bit more sound.

Aside from that I'm working on https://solarable.org - which is aiming to provider understanding of solar panels before finding an installer and plotholes.app (https://plotholes.app) which is a consensus network for potholes as reported and determined by cyclists.

https://video-commander.com

Constantly and carefully iterating through refinement and features. It's built on Rust + Tauri with a React frontend, in case anyone is curious.

I've created various open-source and commercial tools in the multimedia space over the last 10+ years and wanted to put it all together into something more premium with an IDE-like experience.

Most recently I added a /playground area to experiment with the inspection tools via a WASM build, which I thought was a neat way for users to try the app before downloading the full version.

Happy to answer any questions!

Recently shipped lightweight events called activities, to allow people to meet each other more easily through things they're doing - i.e. "John is going for a cycle tomorrow".

[1] https://smackernews.com/item/40717398 HN

I am now reading through the excellent OSTEP book and documenting topic-by-topic how a real kernel (Redox) tackles the topic. I have covered struct proc and scheduling till now, the next is memory management! (https://himwant.org/series/ostep--redox/)

- Flexible rp2040-based instrument tuner

- Stratocaster-style PCB art pickguards

- NeXTBus experimentation board (not that I'll ever use it, but I'll be darned if I don't understand the nuances between NeXT and Apple's NuBUS implementations better now)

This extends to firmware and emulation projects like Doom and the Quake trilogy running in Jira Cloud (https://marketplace.atlassian.com/apps/3372062249/doom-for-j...) and a fork of 86box dedicated to NeXTstep systems (i want an emulated object.station, darnit)

It has LSP support, debugging, Git and GitHub integration, multiple cursors, customizable keymaps, and live previews for things like Markdown, PDFs, and diagrams (and lot's of bugs! too). It runs on macOS, Windows, and Linux, with no accounts or telemetry.

It’s a hobby project I work on in my spare time, and it’s still very beta. No big announcement or anything, I just thought I’d share it here.

If anyone tries it, I’d be interested to hear what you think.

Broomsday: https://broomsday.com sends folks emails and SMS the night before street sweeping parking restrictions for their block(s). Email notifications are free, SMS on a paid season pass. The schedule here is block-by-block and easy to forget, so people get ticketed _a lot_ at $50 a pop. The city has an email-only notification service that's free, but it's poorly supported and the interface sucks. This is ready; I'm testing with friends and family currently before attempting real marketing.

HailPass: https://hailpass.com similarly is a notify-before-pain service that integrates a bunch of open weather services (NWS/NOAA mostly, plus a handful of impact reporters and working on a small hail-specific ML model) to give folks on the Front Range 5-10m heads-up before damaging hail arrives at their location. Weather prediction is (not shocking) hard so I'm still tuning to get as much signal out of the noise as possible; some false alarms will be unavoidable but I want to cut them down before even a F&F release. This year's season is pretty much over with, so aiming for an April '27 release.

There's a lot of ski/snowboard/winter sport culture here, but there's also existing services for those, and I'm mostly trying to offer new coverage where there isn't a good option for my neighbors. Might do an ash borer treatment/prevention service navigator yet.

None of this is going to make me wealthy or famous, but building things that help the people that I actually interact with every day and that are a part of a community that supports my family feels _really_ good.

I’ve been building https://smalldocs.org, it’s a simply styled, but functionally deep, artifact layer for agents. It’s open source and free to use.

Because it can incorporate charts, diagrams, spreadsheets, etc. in one artifact, it’s good for creating (and optionally sharing) agent created analysis.

It has a local library for all your Markdown files, and a cloud library (my one paid feature) too. Both support tagging and rich search/filtering. I find it turns SmallDoc artifacts into little checkpoints in work I can easily circle back to.

Thanks for reading!

It has been really interesting trying to fit a detailed weather forecast into about 1,000 bits. I'm using an rANS entropy coder fitted on historical weather forecasts. I'm able to fit about 100 time periods (~4 days of hourly data) into a 160 character message, using just a couple bits per variable on average.

Github: https://github.com/aaasen/goingblue Site: https://going.blue

A programming language which lets you code multiplayer games like singleplayer games. Every program written in Easel is guaranteed deterministic and snapshottable, which is how it can automatically make your game multiplayer automatically using rollback netcode.

My hope is that teenagers who makes games in Scratch might like to make games in Easel because it means they can make games they can play with their friends, without having to deploy a server or learn anything about networking on synchronization. People can literally make a multiplayer game on their first day of coding.

Currently been working on adding tilemaps.

- Exports cuts to FCP and DaVinci so you can use your existing editing flow

- Transcript editor with retake grouping and word-level cuts

- Dysfluency detection ("um", "uh")

- Free, in-browser. Optional pay for faster / better server ASR

Currently in beta, free server ASR for new users. Please try it and give your honest feedback

https://www.harborgit.com/

Besides that, it also allows you to configure competitors for your SaaS and notifies you when they make product or pricing updates.

I am really curious if there is a demand for something like Kueon or if it’s just me who felt the need. Right now, I am in the process of validating my product idea so that I can further start working on features like:

- Reducing the noise from unrelated conversation mentions. - Providing reports on what a competitor’s new update or pricing update might indicate for the user’s product. - Providing ideas on how users can jump into discussions where their watched keywords are mentioned. - And so on.

Please let me know if anyone here owns a SaaS product and wants something similar. Any feedback or suggestions are appreciated.

URL: https://kueon.com

I even used it to predict how to create savings in rent as I needed to move apartments in Singapore.

This comes out of years driving negotiations at Infineon, Dyson and other companies across the world. It's a CLI under the hood, ships an MCP server so it plugs into Claude, GPT, whatever agent + harness you're already using.

Also spent some time lately trying to validate the math outside procurement. Ran it against the public TDC ADMET pharma benchmarks and it placed 7th of 24 on one of the boards, which I wasn't expecting from something built for spend data.

100% local and private, Free for internal company use, source-available: github.com/ahmed-khalil-hafsi/P2Predict

I don't like putting 20-30 agent skills in the .claude/skills/ dir and letting the agent figure it out. I keep all the skills I've created and adapted over time in a separate git repo and then from there I copy them to the project skill dir when i need them for a session and then remove them when I'm done.

This TUI just replaces all the manual work with ls, cp -r, and rm -rf commands with a few keystrokes.

[1] https://github.com/primaprashant/sei

Also created a fun simple "card game" activity for writers looking for story ideas or stuck with writers block: https://talemancy.com/

(This was somewhat inspired by memories of playing Ultima IV as a teenager)

Currently working on something a little more visually focused in creative design.

Contextify (https://contextify.sh)

It is an application for Linux, macOS and Windows that files your AI chats into a database your AI can read using a skill or MCP.

It backs up the valuable content of your Claude Code and Codex conversations (JSONL transcripts) and turns them into a complete history you don’t have to manage.

Use Contextify during normal flow of CLI AI conversations:

   1. Resume unfinished work → "where did we leave off on that?"
   2. Recover the intent/scope → "what was the actual goal of this whole effort?"
   3. Verify it got done → "did we ever finish that, and which session proves it?"
   4. Recall a fix → "how did we fix this the last time it broke?"

You can self-host and keep all data local or use the source available Contextify Cloud sync server so your history on all machines in your cluster or desktop and laptop are always backed up and immediately available for use.

I have not been a Windows user since the days of the Hackintosh. But urging here and from users to cover the platform pushed me into it and I ended up really enjoying the challenge.

Right now I’m working on an expanded version of the windows app and support for integrating a 3rd party local LLM.

I started out with a wasm version, which worked ok, but needed a lot of work, then moved to SwiftUI which got me further, then ported that to HTML/JavaScript, so it's been a bit of a journey exploring what can be achieved with web technology, I'm more of a backend developer, so this has been interesting.

I'm at the stage where I could do with some feedback from other users. It's much more fun programming, and using it myself, but have to move on eventually.

https://eomodeller.com

1. A robotics information and news website. Any feedback is appreciated. https://robotica.dev/

2. Applied DBSP theory to Postgres https://github.com/getravi/pg_dbsp and DuckDB https://github.com/getravi/duckDBSP. The idea is to have incrementally maintained materialized views.

AI is making it possible to (expeditiously) have everything I want or need on Linux or BSD written in POSIX shell or C is doing wonders for me. The initial effort and time pays off in knowing it will essentially function as intended forever, and no developer can make changes that disrupt my workflow or preferences for my environment.

I used to work on the Google Docs team, so I basically did an 8-hour Q/A with Sol spanning like 400 questions. Did my best to reach back 10 years into my memories to see how things were implemented, and discussing architecture and tradeoffs. Then went through 5 ChatGPT resets implementing it on Astra to get a feel for the model.

I have a long way to go. But I'm writing my first post on it this week, and then I'll do a writeup of the editor project.

First one is RACE terminal [0]. It's a put-terminals on infinite canvas terminal multiplexer. Right now on macOS, but soon I expect to have Linux version fully released.

Second is Inboxctl [1], it's a keyboard-driven mail client for power users.

The cool thing about both of them is that RACE is my terminal multiplexer and Inboxctl is my e-mail client and they work great. I'm really proud that I can fully interact with terminals/e-mail using my own creations. Both are based on the GUI-framework I accidentally made for ascdraw [2] and kakvide [3].

[0]: https://race-term.com [1]: https://inboxctl.com [2]: https://github.com/exlee/ascdraw [3]: https://github.com/exlee/kakvide

For various reasons unrelated to the project, progress since last month has been slow (and I expect the next month will be as well). Most of the work I've done has been on peripheral features.

I added opt-in collection of gameplay data that will give me data for a gameplay session, which I can analyze to find ways to improve the UI, UX, gameplay, balance. By default, no identifying information whatsoever is collected.

I added global text size option as an accessibility feature and used an MCP server to have Claude do the initial layout testing. This was an interesting experiment, but requires enough tokens that it's not very practical as a normal part of development. These features went hand-in-hand -- via the MCP server, Claude takes a screenshot every five seconds to decide what to hover over or click on next. These screenshots consume tokens rapidly, so they are reduced in size. With a larger font size, the screenshots can be reduced further with the text remaining legible to Claude.

When other life matters settle down a bit later this year, I expect to release a demo version while I continue development. (From a technical perspective, the demo has been ready for a while, but I want to spend more effort on some gameplay aspects first.)

- Making a nostalgic remake of Rainbow Six Rogue Spear - called "Tango Down"

Its low poly, Java OpenGL game but trying to stay faithful to the old gameplay

- Updating my homelab setup to be much tidier, moving stuff to Ansible, dockerising non-critical services. Running scheduled backups to a separate NAS

- Making a World in Conflict SFX mod for Warno, so it sounds much better

https://www.youtube.com/watch?v=nudm7JKY6gI

Cellaflow — Safe retries for AI agent tool calls.

The question I'm interested in is: how do you make sure recovery of an AI agent doesn't repeat the side effect?

Recovering an agent's state after a crash is the easy half, and most frameworks already have a checkpointer for it. The hard half is recovering after the agent has already done something irreversible.

Sometimes the downstream API has idempotency built in. But often you don't control the API, the operation isn't naturally idempotent, or you need to coordinate several side effects. Sending an email, creating a ticket, triggering a webhook, provisioning something, or mutating another system can all leave you with the same problem.

Cellaflow focuses on the side effect, rather than just the agent's state: which agent is allowed to perform an operation, what's already been done, and how to safely recover when the agent crashes or disappears mid-execution.

It is a runtime that sits underneath your existing agent framework, so you can use it with LangGraph, CrewAI, AutoGen, or your own agent code without migrating the agent itself.

Still early. I'd like to talk to anyone running agents in production who's hit duplicate tool calls, duplicate side effects, or a workflow that quietly never finished.

https://github.com/bcabs/pictureCram

https://modelrigs.com - a website for running open weights models on various hardware setups, including benchmarks, how to run them, and a TCO economics analysis

https://riverfish.uk - this one's a bit different! It's basically a pSEO experiment in combining fish population surveys and river data across England

https://findclients.org - a B2B client prospecting database of UK companies across different cities and industries, with a market analysis of the different sizes and ages of companies

https://octoloops.com - AI growth app. I've downgraded my time on this as although I could get users to sign up, getting them to actually use the app hasn't worked out at all; new users won't reply to my nice founder emails either. Bit of a bummer because I invested quite a lot of effort but it just doesn't seem to be working. Ironically I still use it to dogfood on my own projects...

https://signalbump.com - another experiment: enrich people's projects in monday.com with data on new (capital) projects and expansions of their clients. It's a monday.com app, the marketplace submission process was very challenging as a solopreneur. We'll see, very early days.

I watch a lot of DJ sets on YouTube and kept running into the same problem: I hear a DJ set I like but then I want to listen to it on-the-go, like on my phone or create a playlist on spotify with those tracks.

So I built this. You paste a YouTube link and it pulls out the tracks with timestamps. Then you can turn that into a Spotify playlist with one click. It's free and you don't need an account to find tracklists.

I've also been putting together festival collections. Amsterdam Dance Event is coming up in October (again), so there's already a page for that, plus Awakenings, DGTL, etc. to get into the mood.

It's a Rails app. Next up is a browser extension so you get the tracklist right on the YouTube page without pasting anything. There's also an API if anyone wants to build on it.

Still thinking on how to monetize this, have some ideas but nothing concrete (yet) :) Try it out and any feedback is welcome.

Last year, Mozilla released Orbit, an AI-powered browser summarizer hosted on a GCP server. After people started digging into the extension, they discovered things like backend endpoints such as store_result. Eventually, Mozilla discontinued the project. For the past month, I’ve been trying to rebuild Orbit from scratch, but with one major difference: Apogee is fully local and privacy-focused. Apogee doesn’t send or store your data. It can directly connect to your local Ollama instance for inference. I’ve also added WebGPU integration for Chrome and Transformers.js for Firefox to provide faster, local responses.

It can summarize: Articles and websites, YouTube and Billie videos, Wikipedia articles, Hacker News and Reddit threads.

You can check out the source code here: https://github.com/darshi1337/apogee

Install Apogee:

Chrome: https://chromewebstore.google.com/detail/apogee/pgemlpomhkdc...

Firefox: https://addons.mozilla.org/en-US/firefox/addon/apogeeext/

Obviously it is far from complete. Would love to hear your feedback and suggestions!

Basically a simple pizza status tracker for small German fabricators and craftsman. You define the process, instantiate it per customer order who receives the link to a status page with a possibility to subscribe to status notifications as well. The benefit is that people don't call you anymore asking for the status of their order, saving time.

It's a pretty vanilla rails app running on a hetzner vps.

The idea is to connect test results and artifacts with commit history and testing environment. This way test reports can show whether a failure in a pull request is a real regression or a known flake from a target branch.

The core of the service is a specialized analytics engine that makes it possible to store and query large amounts of test results [1]. Thanks to this engine, we've processed 2.5 billion test results to date.

Flakiness.io is used already by a few large open sources (nuxt/nuxt [2], wordpress/gutenberg [3]). There's a 1GB free plan which is enough for roughly 10M+ test results, and I'd be happy to increase this limit to 100GB for large open source projects upon request.

Let me know what you think about the project!

[1]: https://blog.flakiness.io/posts/2026/engine/

[2]: https://flakiness.io/nuxt/nuxt

[3]: https://flakiness.io/wordpress/gutenberg

It is a React-based OSS audio player I developed primarily for museums and tour guides as I am really close to this industry and i was trying to scratch my own itch. In practice, thanks to the flexible design and architecture, it can be used for any use-case where you need to deliver sequential audio. Would like to hear any feedback or connect with someone who would need a solution like this.

It's like a fixed up TypeScript specifically tailored for Wasm GC that can produce very small and fast binaries, but also has features like pattern matching, ownership / borrow checking for resources, pipeline, tail call elimination, multi-value returns, direct WASI component integration and a lot more.

For 2.0 I'm trying to stay faithful to what made the original Paint but with a few quality of life improvements, like multiple tabs with image previews, cross platform support, and generally cleaning up a very old codebase that relies heavly on wxWidgets.

I've been using AI quite a bit to help maintain and modernize this 2.0 version but I want OpenPaint to remain a simple image editor that most people are familar with.

Still a work in progress, but it's been fun bringing a 17-year-old project back to life and keep the idea going.

https://github.com/murdockq/OpenPaint/tree/dev

https://murdockq.github.io/OpenPaint/

I've been avoiding using Tailwind or any framework as to try to identify maintainable ways to build with just the web platform in a way that I also enjoy writing code. The last day or so I've been strictly using child combinators (the > in: .container > .thing) and I've found my CSS to easier to read and less likely if not impossible to pollute child components.

Also I recently converted the whole project from a domain-driven source code organizational approach to a more flat horizontally layered approach, that's TBD on its usefulness although first impressions is that I don't feel like something could be amiss when I go to deploy whereas in a heavily domain-driven architecture I get a feeling that there seems to be a stone left unturned somewhere.

Hedeflerimiz (https://hedeflerimiz.app): I’m obsessed with figuring out a useful social network problem. :)

Huzurlu Yaşam (https://huzurluyasam.net): An app for apartment and residential complex management. It’s a very common problem in Turkey.

Just Bubble Tap (https://justbubbletap.hedeflerimiz.app): Originally designed to teach kids about world geography through special days and weeks, but it somehow evolved into a game for everyone from 7 to 77. As you pop bubbles, you earn rewards like these. And I’m not over the fact that my mom beats me :)

I'm curious about:

- how to "upcycle" end-of-life NVIDIA GPUs, like K80, M40, P100, etc.

- how to offload MoE expert calculations to MCUs with NPUs, possibly FPGAs

- how to manage a 10G LAN-attached network of older Xeon servers with the above GPUs and USB-attached MCUs as a machine learning "fabric"

- do ideas from IBM's ACP/TPF O/S (now Z/TPF) carry over?

- do ideas from IBM's Workload Manager (business priorities managed resources) carry over?

- can I bypass end-of-life CUDA driver support for older NVIDIA hardware by using Rust/Vulcan?

- can I leverage the architecture of Freetoken (MoE caching/routing, Engram, KV-cache compression) and other approaches like Baby Dragon Hatchlings, Hierarchical Reasoning Models, Tiny Recursive Models, Recurisve Language Models, Multi-token predicion, etc?

- is anyone else intersted in actually building something like this?

I've explored many of these parts individually, now combining them...

(https://github.com/Tori-Tech/Mandating-Honeypots-Project)

In that project, I also proposed a tool with heavily redundant password protection that parents could use to keep kids from tampering with the service so the government can stop saying that this is for the kids. I'm planning on doing a mobile device version and/or an ID database focused version, but that's still in the planning phase.

I also want to do a Windows version when they release their 'GetUserAgeRangeAsync' API, but idk if I'll be able to. Windows is always a pain to work with.

It'd be nice if someone had advice or ideas to share, too.

I'm pivoting from adding more sources to data quality - as I've tried to vet some of the city sources I'm finding fun things (Cambridge, MA, USA merges in trees from Harvard, and some are straight duplicates with slight offsets, lots of places have trees in the middle of the road, many locations are address level instead of tree level). Now trying to leverage aerial photography to drive some QA, which has been a fun area to explore!

[1]: https://arborary.world/ [2]: https://greenmtnboy.github.io/tree_reporting [3]: https://github.com/trilogy-data/pytrilogy

The idea is to help developers multiplex agent sessions and run Claude and Codex together, which is much more powerful than running one or the other alone.

My secret goal is to figure out how to make software development the kind of focused, meditative work it used to be.

https://clor.com

Very happy to get critical feedback from any HN'ers: jake@clor.com

I started it as a quick proof of concept while my wife was in labour with our first child, partly to cope with the stress, partly I wanted to create a personal gift - tracking our journey together. So I needed, a simple way to caption the important moments of our life together with the when & where.

The goal was simple and fast, with everything on the device: no account, no tracking, no uploads. You can edit the captions and adjust the crop, then export or share. The first 5 photos are free, then a one-time $1.99 unlocks unlimited exports.

App Store link: https://apps.apple.com/app/id6753585464

Side note: This side project was also a second experiment: how far can LLM coding agents get on their own? I wrote the first version in Swift, then had Claude Code port it to Flutter. It did most of the work (rendering, geocoding, the in-app purchase flow, even driving the simulator to check its own screenshots). I think Opus 4.8 was the point when the agent become truly autonomous and my input became less needed.

https://eigakanguide.jp/en

I love going to the movies, but I couldn’t find an easy-to-use way to search everything currently showing in Japan. Sites such as eiga.com offer only a few filters, while individual cinema websites generally make you search one location at a time.

Eigakan Guide lets you filter showtimes by area, cinema, date, time, and features like IMAX, Dolby Cinema, 4DX, subtitled screenings, and more. For example, you can search for IMAX screenings this Friday after 7 PM.

Another problem I often see people asking about is how to find screenings with English audio or English subtitles. English-subtitled screenings have their own filter. English audio is harder because cinemas rarely publish the audio language explicitly, but a Japanese-subtitled screening of a film originally made in English will generally use the original English audio.

The site is available in Japanese and English and currently covers every TOHO Cinemas and Cinema Sunshine location in Japan. AEON Cinema is next, with more chains planned afterward.

I launched it very recently and would really appreciate feedback, especially from people who go to cinemas in Japan.

https://genmotion.dev

So the tradeoff this database makes is it doesn't work at high scale, but it has a lot of features not typically in a database, such as:

- The ability to embed non-turing-complete event source handlers in the database schema

- Categorical type system that makes migrations provably secure

- All schema changes take place through migrations

Example syntax:

  Inventory = aggregate(key = sku) {
      sku:       String
      name:      String
      available: crdt(merge = counter) I64

      command Stock(sku: String, name: String, qty: U64) {
          sku       = input.sku
          name      = input.name
          available += input.qty
      }

      command Reserve(sku: String, qty: U64) {
          available -= input.qty
      }

      command Release(sku: String, qty: U64) {
          available += input.qty
      }
  }

  command SubmitOrder(order_id: String, party_id: String, sku: String, qty: U64, total: U64) {
      Order::PlaceOrder(
          id       = input.order_id
          party_id = input.party_id
          sku      = input.sku
          qty      = input.qty
          total    = input.total
      ) compensate Order::Cancel()
      # `sku` is Inventory's key — the step must bind it so the engine can
      # resolve which Inventory row the command targets (task-212).
      Inventory::Reserve(sku = input.sku, qty = input.qty)
          compensate Inventory::Release(sku = input.sku, qty = input.qty)
  }

What makes the app a little different from others is that it's kind of halfway between an outliner and a wiki. You can place notes in a tree hierarchy, but they can be free-floating as well. You can link to other notes using wiki-style text links, and each note has a unique address, so you don't need to give notes a title or a filename.

Notes can even appear as a child note of more than one parent. The idea is that you can jot down an idea quickly without a lot of friction and then later either add sub-notes to create a note "tree" from it or add it to an existing tree. The tree gives structure to related notes, but the wiki-style links allow you to connect notes together outside of that structure. (I consider the tree structure a "hard" relationship and the links a "soft" one.)

There isn't a single uber-tree where every note goes. Your notebook ends up with lots of free-floating notes and lots of small trees of organized notes, like a card-based Zettelkasten system. You can use search and various filters to find and stumble upon notes easily.

Notes can either be stored in iCloud (so that they sync across devices) or saved in a folder as simple Markdown files.

If you're curious, you can help beta test it. More info here: https://zettelkasten.ussherpress.com/

An app that blocks your screen until you do pushups/situps/etc. Works on the honor system instead of tracking you with a camera though. Turn your screen addiction into getting fit.

iPhone version coming soon.

so yeah.. it builds the stories out of their actual life. their family and friends are in the cast, their dog, the thing they're nervous about this week. the kid doesn't just appear in the story, the story is about their world and imagination and grows with them.

ultimate goal is to keep iterating and get to a level of quality of Bluey, etc but have it actually be the kids world with agency/choices vs. one they have to passively sit back and watch, and that they're not in.

would love any feedback. i know there's been others like Ello shared on here and those threads were really interesting to know HN's opinion on. this does not take an educational and instructional approach. Tella is meant to help develop who they are through stories and be a better screen alternative time to the rest of the algo/curated garbage out there. anyway you guys are a critical and technical bunch and i respect/appreciate that.. especially since this of course leverages multiple AI services to create the stories ~

https://tella.kids/

Almost none of Africa's 2,000+ languages have working ASR. Fine-tuned Whisper on a cleaned 144h Kikuyu corpus. First model: 32.9% WER / 10.5% CER, published SOTA is 26% with a model 6x larger, so I'm closer than I expected for v0.

Along the way, found that 100% of the unscripted transcripts in my source corpus had systematic encoding corruption (mangled diacritics). Would love tips/stories from anyone who's done low-resource ASR.

The idea is that developers and scientists can meet each other in the terminal in a funny way at 3 am while working.

There is a place in the moon where you can "scream" against your last LLM session and everybody can see your scream from the space.

You can create your avatar, share your github if u want too.

It is full of continents (the "physics" continent, the "computer science" one, etc.) and in each continent there are cyberpunk cities. You can create corners and expand the city, and enter. A 3D supercyberpunk animation brings you in the corner and you can chat with people who enters in the corner (corner=chatrooms). Also voice chat works if u active it. In your terminal.

In the moon there is a place where you can see the stars and everything happening on the virtual pixelated sky, water a plant (if nobody put water it dies), with a soft low quality chill music. If someone is in a room with you, you can see him and you can chat, even vocal chat exists.

It is perfect to let it open in the second monitor while working so that you can watch the stars while dying of tasks to do, and sometimes have some conversation with someone who is in your same situation.

It works in Linux,MacOs and windows:) _____

https://github.com/SorBalda/vibeworld

_____

Mostly this week I’ve been wrestling with a better solution to filtering openrouter providers because a common failure mode is getting stuck on one which is either very slow, or doesn’t actually meet the spec it promises in terms of tool calling.

Works nicely with my existing Signoz, costs nothing extra, but I’ve yet to test it against Honeycomb and Clickstack. Apps are in private TestFlight for now.

https://github.com/Lightless-Labs/willikins: a tool to deterministically provision new projects’ git repository, secrets vault / config, build pipelines, etc, based on the project’s needs (cli tool, web service, mobile app,…).

It’s getting tiring to wire all those by hand or with cobbled together script. And I don’t trust agents to give them read and write access to all the resources they’d need to do it. Very much in progress, but it already forced me to clean up some config. I guess it’s like a bad Ansible, for project set up?

I’m also experimenting with a team / project / task-scoped blackboard (https://martinfowler.com/articles/exploring-gen-ai/an-accide...) tool for agents, to be used by multiple users’ agents (eg different devs working on different sides of the same fix or feature), and a self-hosted Q&A forum for agents intended to serve as an authoritative self-grooming source of truth on technical, domain, and business matters for a team or org’s agents.

[1] https://github.com/jha-naman/treetags

[2] https://github.com/jha-naman/treetags/pull/62

Tried to use a generator for automating the bulk of the scanner for a language from `grammar.json` file of a tree-sitter grammar. A runtime engine uses the scanner for a forward only walk on the scanned code and calls the hooks to generate tags.

[3] https://github.com/jha-naman/treetags/pull/56

A complicated mess of a generator that takes a few declarative inputs and tries to generate code for spitting out tags for a given language.

Outside of work, I'm making a glorified kanban board that an agent can talk to over MCP, and I've found that it's given me a much more reliable, repeatable dev process, and allows me to rapidly prototype ideas in my backlog and work through them without losing work or having to repeat myself much.

A way for BJJ and martial arts academy owners to manage attendance, payments, class schedules, and student progress.

I train BJJ myself and saw how much time instructors lose to admin work, so I wanted something simpler and more focused than the generic gym software out there and have been having a lot of fun building it with feedback from real academies.

DoodleMate is a multimodal storytelling canvas that exposes students to the basics of animation, character design, and story creation. Starting from paper drawings, it creates rigged versions of your characters that can talk, walk, dancing, sing, etc and you can create scenes out of it.

It doesn't use any generative AI whatsoever. Just computer vision and animation algorithms.

I just released a new version with lots of new modeling tools: https://adashape.com/blog/alpha-0-2-0/

As a highlight the lofting tool is pretty fun complement as it allows combining multiple drawings in an intuitive way to define a certain category of complex 3D surfaces without too much effort (https://adashape.com/manual/adashape/en/shp-loft/).

I've been chipping away at manual as well - and found it was a really good idea to write my changelogs in product voice as I can more or less recycle that copy text into the manual verbatim https://adashape.com/manual/adashape/en/

(Previously featured on HN in https://smackernews.com/item/47638498 HN )

I'm a big fan of LazyDocker (and its much cooler older sibling LazyGit). However, I wanted sth that works on all virtualization providers not just Docker & better shell integration.

It currently supports Docker, Incus, and Docker Sandbox (Podman, Apple Containers, and Tart on the way). You can manage resources, inspect logs/details, and open shell sessions (uses Alacritty backend) on the side. Shell sessions are persistent too, so you can navigate elsewhere and come back without losing the session.

It's finally at the point where I'm comfortable putting it out there. Feedback much appreciated.

https://github.com/saif97/Tuivir

https://github.com/kulvind3r/GamingGaiden

Created this to replace the original Gameplay Time Tracker which was closed source and abandoned. Been improving and maintaining it for 3+ years now and it has found moderate audience in it's niche.

I was dead set for a while that just reading with 98% knowledge of the words in the story would be enough to learn the new words through context but in reality that’s not always the case. So I have been trying to adapt the system to work better for the user while still staying in the comprehensible input area that I want my project to focus in.

I’ve also been wanting to start work on the mobile apps, but the PWA works well enough and I know it’s better to spend my time on other features/improvements before doing a full native or react-native implementation.

The website is called https://readplusone.com if you’re learning Spanish and interested in checking it out.

The app wraps whatever is playing on mac through device convolution (old radio, hifi system) - Room convolution (a bedroom, a forest) and adds ambience (rain, wind, waves) and Apples spatial processing - so it sounds like a real space.

For me - hearing the sound in a space really helps more than just the dry sound.

https://www.surraura.com/

Financial Forecasting/Retirement Tool but you can drill down on individual assets and tweak params and see it from different angles.

I wanted to focus on something that wasn't AI and focus on the 'boring' non-technical parts that I've read so much about but never sunk my teeth into, like distribution and SEO. It's been a really fun experience.

As for the space, i.e. Financial Forecasting/Retirement Planning, put simply, financial security is important to me, I want to be able to retire on my own terms and for my family not to have to worry. I personally believe it is incredibly important to become financially literate and work towards financial stability if and when you can.

Also though there are a lot of Financial Calculators out there, I just couldn't find one that suited what I wanted, they all just seemed either too simple, didn't focus on what I wanted or purely existed to upsell me to a financial planner or Buyers Agent etc.

Haha also, the space if very crowded, in hindsight I would have picked a different space to focus on.

I hit a plateau with my learning, having used Duolingo + tutor. It was only until I tried to read a book that I felt like I was making real progress. Highlighting words in Kindle, exporting them to Anki, then feeding back my progress to my tutor was fiddly and not a good use of my time. Also practicing my speaking once a day wasn't enough.

So I built an app to help me. This app will: 1. Generate Spanish short stories using Claude pitched to your level, narrated with ElevenLabs 2. Every word/phrase you highlight becomes a flashcard. Flashcards use spaced repetition - words you find difficult come up more often per review 3. Chat with Lucía - a turn based conversation who is prompted with the words/phrases you have saved down

You get a use of all the features before subscribing (1 short story, 1 round of flashcards, 1 minute with Lucía), then it's a 7 day trial.

Would love to get some feedback, especially on the AI conversation, as that's the most challenging part of the app I've found so far.

I built this because I think there's a lack of true realtime (CRDT) synced notes that aren't built on a heavy platform that take up 1GB+ RAM (Totem takes up ~100MB, and is also generally more responsive due to the local-first + ops-log approach).

Another thing I care about is keeping the underlying data portable: Totem is built on Markdown and SQLite as its core formats, so you get the convenience of cloud-based syncing without locking your data into a proprietary format.

I’m still looking for beta users/design partners before the initial launch. You can try it without creating an account here:

https://app.thinktotem.com/sandbox

And the landing page is here:

https://thinktotem.com

This is a bit of an unplanned post, so the sandbox template is a bit barebones (empty docs, doesn't feature a properly setup table). Nevertheless, I would love to hear your feedback if you try it out, especially if you use collaborative notes/docs today and have opinions on what they’re missing!

Now working on releasing on steam, android, ios. Also made an ssh version you can access via your terminal [2]. Hoping could get as many downloads in native platforms.

[1] https://antics.gg/p/side-out-94df7d

[2] https://antics.gg/ssh

"Situated" here means that permissions are just data that co-exist with your application data. This has several advantages: reduced network latency, strong local consistency and opportunities for real-time view maintenance.

- EACL Performance Demo: https://demo.eacl.dev/ (1M permissioned entities, 3.8M Relationships)

- A toy Google Drive clone (runs in-browser): https://drive.eacl.dev/ (4-minute screen recording here: https://x.com/BraaiEngineer/status/2099284919532896675?s=20)

- Rationale: https://eacl.dev/#rationale

EACL V8 RC was released to Clojars on 12 September 2026: https://clojars.org/dev.eacl/eacl

EACL handles authorization in the Datahike HTTP Server: https://github.com/replikativ/datahike/blob/1ea8972a980e2e3b...

On the side, https://infrabase.ai (hand-verified AI infrastructure directory) launched a Media Generation category, image and video APIs after a run of requests for it. Also the submission spam is way up here latley, been improving the detection here as well. Also seeing real interest in paid listings now, including one that started as a link-buying request I turned down :)

Been doing a lot of AI assisted emailing, so I have started to work on a little review UI for AI generated text, comments on specific words, inline edits, Claude picks up both and revises in place. Like a PR review interface for text. Turns out pretty good workflow with Claude watching the files for new comments, editing and commenting back right away.

Lately it supports running agents in Podman containers. It's also possible to independently update Agent harness versions without updating the CLI tool.

One of the next items on the roadmap is tidying up the architecture to clearly define what's in the core of that framework and what's plugged into the framework on top of it - kind of a plugin system.

Plugins may bundle settings such as what commands need to be run when building the container images, startup commands that need to run when starting the containers or the definition of information that should be forwarded from the host into agents' containers (environment variables, networking settings, etc.).

So far, I am hoping for (more) external contributions as well as someone who is willing to share ideas or talk about the concepts around that framework. :-)

https://github.com/Embedded-Focus/agent-circus

https://breaka.club/blog/why-were-building-clubs-for-kids

Have been running an in-school pilot over the last school term. Has been super insightful and led to a heap of changes to optimize UX. However, the biggest challenge has been delivery in this environment.

Trying to run a game in a browser on school iPads powered by really locked down networks has been challenging. Some school iPads will crash (out of memory) when launching the camera view, whilst others run flawlessly. We use a fork of Godot, and are constantly fighting to strike a balance between UX (increased parallelism) and browser device constraints i.e. a limit on how many web workers we can fit in memory.

In addition to our main (build and play your own RPG) experience, we also stream games direct to iPad. In particular a modded version of Overcooked! 2 that teaches kids to code — Overcooked itself was never even released on iPad. We've built our own Kubernetes system that spins up (a license limited number of) games/pods on demand backed by (time sliced) NVidia GPUs. This is literally running out of my home office. Despite the complexity of building all that, the Kubernetes and GPU time slicing wasn't even the largest hurdle. Turns out UDP is a no-go on the school network, so direct WebRTC was out the window. Instead we're using Cloudflare's TURN relay with TCP. Which much to my surprise, is holding up quite well.

Definitely a learning experience. However, kids are having a blast. Can't wait to roll this out further!

Working with remote large data sets as if they where local.

I made the project public on May, and now as September has arrived, you can work with post production videos anywhere in the world. You can run the daemon on your own NAS and access the data on-demand from your working machines.

The same applies to data acquisition in digital forensics flows.

I've recently managed to bridge the biggest gap I've had and, while it seems to be something that is NOT yet great from a UI/UX perspective (you need an account with intervals.icu to use it), I can now send workouts with structured splits, pace targets and reps to my Garmin watch, which effectively means I can replace using a paid app with my own to get, essentially, the same benefits.

I did put a previous version to the test, by running a plan generated with it to run my first ever trail race in May (a 22Km race with over 1100m elevation successfully completed) and since then I've kept revamping plan adaptation, workout generation and watch integration and it's now sitting in a very sweet spot for me, I might actually cancel my paid app subscriptions after running a few more hundred kms to really test it! runcoach.fly.dev

17,000+ users already! It's a completely ad free, subscription free product. MacroCodex app, which results in guaranteed weight loss or weight gain outcomes within 2-3 weeks. Many people will start seeing results within the first week. Don't believe? Read the reviews.

MacroCodex is a "Total Calorie Burn of the day" using completely sensorless method explained here: https://macrocodex.app/knowledge/macrocodex/smart-calorie-bu...

CalorieCodex - calorie tracking app which has a Agent Harness built in using BYOK (bring your own key model). How does it help? Using this anyone can track calories and plan their meals. Agent includes skills which help you accurately track calories and plan meals.

Symbiote App - Think "BoostCamp" but completely free, no ads, and fully programmable workout tracker

Example of GZCLP: https://symbiote-studio.macrocodex.app/?builtin=gzclp

Finally getting around to organising my photo archive and setting up a metadata extraction pipeline that makes sense for me.

(At the day job, curious about adapting app layouts to accommodate the iPhone Duo and address the various Android foldables at the same time, too).

Video proof of work for coding agents.

Agents upload a short recording of what they built, humans leave timestamped feedback, and the agent can retrieve that feedback and iterate.

Basically, instead of an agent telling you "done", it can show and you have a nice way to share the resulting videos in PR, on Slack, with your teammates etc.

Lately I’ve been getting increasingly curious about what’s happening below the Python layer: Linux, filesystems, processes, authentication, and all the other things I used to happily take for granted as a web developer. It’s been a pretty fun change of perspective.

https://escape93.paperboat.website

It's still pretty early, possibly buggy, and almost certain to get breaking changes without warning.

My original thought was to combine Lisp syntax and structural macros with C semantics and see how much extra abstraction that would provide, but variants of that idea have been tried before. They may have been compelling at a certain point in time, but I think a new systems programming language in 2026 should offer more, so it does.

Some features include: strong typing, protocols (similar to Clojure or Rust traits), non-nullable references, error values, bound error handlers (a bit like Common Lisp), optional lexical lifetimes, namespaces, and no mandatory runtime overhead relative to C.

It's self-hosted, which I've noticed several new systems programming languages announced recently are not.

I saw one Anthropic MTS got married recently and he did bunch of relationship analysis through iMessage dump in Claude Code. Started with that idea, but I don't want AI to have all my personal chats, so gave it a local first discovery and just statistical AI and I really like it right now.

The Odds Assist tool started out as a way for me to quickly QA the data from the API. It then turned into its own product as an odds scanner and sports book advantage finder (mainly arbitrage, +EV, middles, etc). Over the past few months it's really pivoted toward prediction markets and collecting and displaying data to get an edge on markets that are soft.

The pivot to focus on PMs has been pretty fun from a development perspective since there's so many niche markets to look explore. I've always liked math, I'm a bit of a digital hoarder, and I've got ADHD so finding random things to collect a bunch of data for just to test a hypothesis just hits my brain in all the right ways. It's also given me an excuse to learn more about ML what has been great.

I find Grasshopper, especially its data model, ideal for a certain type of algorithmic art/design, and have always wanted to use it in a 2D graphics package.

https://www.figma.com/community/plugin/1677548868352947603/c...

    {:find [?title ?director ?rating ?card ?shout]
     :where [[?m :movie/title ?title]
    
             [?m :movie/vote-average ?rating]
    
             [(str ?rating) ?rating-str]
             [(concat ?title ": ") ?title-colon]
             [(concat ?title-colon ?rating-str) ?card]
    
             [(lower ?title) ?lowered]
             [(concat ?lowered "!!!") ?decorated]
             [(upper ?decorated) ?shout]
             
             ;; joints
             [?cr :crew/job "Director"]
             [?cr :crew/movie ?m]
             [?cr :crew/person ?p]
             [?p :person/name ?director]]}

Latest updates around audio processing and quality are out, I've also made a substantial addition by implementing extensions.

This allows people to hook up to M365 or Google to get desktop notifications to start the recording, it can also export to share point and stop the recording at the registered meeting end.

Was a fun process keeping the offline and online functionality completely separate, also getting validated by Microsoft for the M365 extension was a bit of a chore, but finally have the verified blue tick.

https://getsoftwarehouse.com - I'm also working on the governance layer for AI tooling that is being built by employees, there's just HTML files flying all over the place, no security, no home. So built software house as a place for these things to live, be secured, put OIDC in front etc. It's fun!

It organizes documents around stakeholder (customers, vendors, employees) and extracts insights per document and allows you to "chat" with the documents individually, per-stakeholder, per-stakeholder type, or across your business.

It has a lightweight form builder, supports templates, allows you to upload your documents from your phone's camera, allows you to email-in documents.

Now is the hard-part--trying to get from 0 to 1. I feel like there are a lot of ways I could niche down the product and focus my marketing but I'm a bit rudderless at the moment.

If anyone has any ideas, I'd love to hear them!

well, claude is: https://modus-lisp.github.io

When I first launched it was the only wish list that didn't list your name and registry on search engines. It is has grown a lot since then, and added a lot more privacy features, and the best marketing has always been doing right by users (extremely rare these days). You can see by looking up any name + the name of a wishlist/registry site and see what shows up to check at any time.

I'm working on more products following the same rule - serve users as you would your own family.

It's an early version so many (if not most) things that would be in a game are still missing at the moment (though planned on paper).

One interesting thing is that because the Voronoi voxels are so malleable, things like round or hollow worlds are a pretty natural outcome.

In parallel to working on it, I've been mostly using it to build and improve my own voxel castle with a pointy roof, slanted walls, custom built stairs, tables, chairs and all those nice things.

In the last update I added a CRT filter and some pixelation options as I find that appealing. As for the future (maybe as the next thing?), I guess I'd probably like to add the ability to build less blocky things like round towers (or flower vases!), but that is still very much a work in progress.

The Web version (WebGL) is completely free (and will stay that way):

https://jazzprogramming.itch.io/vorfract

An E-ink bird frame for Raspberry Pi - with real-time bird detection by audio, fully local AI, driven by BirdNET-Go rendered as real, hand-cut 1800s bird illustrations.

My goal is to better understand the economics of AI and make something useful in the process.

(Coming soon: kWh prices and robot prices)

Mostly built with claude code with a dash of codex.

A recent, useful unlock in the process has been a daily CC routine to check the health of the 53 price collectors in the project.

Sanctum is a voice journal, think Obsidian but for voice notes. I am really honing in on data sovereignty, privacy, 1 click to record and self organization of notes / ideas.

While this isn't anything revolutionary, or technically difficult, I do think I've landed on a form factor and stack that is in my opinion not served by current products. So much so that I just simply had to build it myself. Sanctum was born out of an Obsidian plugin that I built and have been maintaining for about 2 years called Scribe and it's been a wonderful way to really hone in on a more full fledged agentic development process for a full stack experience.

The stack is simple

  - For transcription I am using AssemblyAI - they have solid terms, 24hr retention and no training

  - LLM inference is running inside a TEE using redpill.ai, it's slow af but as private as I could find.

  - For cloud backup I am using full E2E encryption with Backblaze for storage

  - Endpoints and the like are AWS lambdas, DynamoDB for billing storage, Supabase for auth

Anyway, something I am most definitely curious on is if people are recording their thoughts, what they are using (either a cobbled together solution or a product) and what value they feel they've been getting from it!

If you try to use image generation directly, you don't get real patterns. StitchWink makes real patterns that you can also edit manually or through text/images with AI.

https://github.com/knowthankyew/gradcast

Most college search tools stop at tuition. GradCast connects actual degree-level earnings to real local rent, federal/state taxes, and student loan amortization to show your real monthly take-home.

A proof-of-concept web application that helps students simulate their financial future after graduation — based on real college costs, program-level earnings data, local housing markets, and tax calculations. Built on the U.S. Department of Education's College Scorecard API and HUD Fair Market Rent data.

Recently just shipped that feature which makes it significantly more difficult to fake knowledge when you have to vocally explain your thoughts rather than choose an answer. The rest of the week was spent on some uninteresting things like debugging a bug and moving off from an outdated build tool which incorrectly resolved to a different version of Node.

Not sure if anyone shares my opinion but oral examination as a measure to verify knowledge seems to be underestimated in comparison with quizzes.

We created it as an alternative to the price gouging that happened over the last year at various timesheet SaaS companies. The idea is that good software should not cost 10x as much just because 10x as many people use it. In our opinion, software should also be functionally complete. There should be no arbitrary tiers that only exist to force people into more expensive plans.

The stack is Elixir with Phoenix LiveView, deployed on a Talos Kubernetes cluster. This is different from what we normally build on, and honestly quite fun.

Lately we have been thinking hard about the temporal nature of timesheet software. Many things get quite complicated once you factor in historical versions: the need to retire, lock, change, reopen records or rates, and so on. We have been working hard to polish Abejora to make everything accessible, user friendly, and intuitive.

You can track what you’re reading, keep notes and reflections, see your reading stats, build out your bookshelf, and a bunch more. Over 4k monthly active users.

Been building it solo & adding features based on what readers ask for.

https://pickupreader.com

[1]: https://codeberg.org/ZelphirKaltstahl/xiaolong-forum

It's kind of hard to just "get into" these though, as they're sufficiently foreign that I'm spending more learning about the "accidentals" rather than the core dev loop that say, an employer would care about.

So on top of that, for a more "traditional" software project, I'm working on making a game with a custom networking protocol, but with a focus on the networking protocol itself. I do think a decent amount of games can be subsumed under this paradigm but it requires careful design to a necessary and sufficient protocol. Of course, whether the game itself is fun is a different story, but I think it can be made fun.

I’ve always had the same problem with website blockers: I might need YouTube for a tutorial related to what I’m working on, but allowing YouTube also means allowing every unrelated video. Same with Hacker News - I might need to look something up for work, but I shouldn’t end up reading the front page for the next 30 minutes. Most blockers operate at the domain/app level, but whether something is distracting really depends on what you’re trying to do.

With Nono, you describe what you intend to work on at the start of a focus session. It then uses an on-device model to look at the active window in that context. So a relevant YT video can stay open, while an unrelated video gets blocked.

The tricky part right now is the model. It needs to be small and fast to run continuously, while still being capable enough to understand the context and not annoy you with false positives.

A few extensions:

Find threads on hacknews and reddit https://chromewebstore.google.com/detail/mrd-thread-search-h...

Track New Comments and Keyworks on hacknews and old reddit https://chromewebstore.google.com/detail/mrd-comment-control...

Autocopy for my TTS pipeline https://chromewebstore.google.com/detail/mrd-regex-autocopy/...

Give them a go, I have a few more that I can't publish because I don't have enough users. Help a brother out, need more slots so I can push other extensions and use cloud sync.

more at https://mrdlads.com

Twitter / X scraper https://mrdlads.com/projects/mrd-xdigest/

Turn youtube tabs into playlists https://mrdlads.com/projects/mrd-youtube-tabplay/

More generalized multisearch and highlght https://mrdlads.com/projects/mrd-multisearch/

I remember someone saying that when you build a game, you end up building tools to help you build the game. I never really got that, but now I do. I've spent quite a bit of time working on tools to help me balance the various game mechanics.

One weird learning, it was much easier to get it on the iOS app store, than the Google Play store. Google wants you to have a closed playtest with at least 12 players, for 14 days. I did that and they said the testers weren't engaged enough.

If you want to check it out on iOS https://apps.apple.com/us/app/fairway-rogue/id6783598189, I'm still trying to get it on Android

I'm up to my 3rd prototype of a device that combines GPS with TERCOM style algorithms using a bunch of sensors for use in areas that have terrible GPS coverage (initial use was canyoning). Hopefully, when I receive the samples, I'll have ironed out most of the hardware faults!

I've also just (sort of) finished a TinyGo version of firmware that runs on a cheap Adafruit board in combination with Gaudi Lab's OpenThereminV3 shield to provide MIDI theremin capabilities for live music performance. That one is available at https://github.com/intermernet/theremin if anyone wants to play with it.

I've also been working on `summond` (https://github.com/joshgummersall/summond), a developer/agent friendly way to interact with OSX Launch Control. It aims to support all relevant Launch Control triggers using a nice `toml` config format, dynamic environment control, logs, and more. I've found it super useful and it's dotfile friendly.

I've been building Nola for the last 3 months. Even slept a bit sometimes.

Finally released it a week ago and got 4 GitHub stars. Yooohooo

It was worth it. 4 f*king stars.

I'm living proof that sometimes we overcomplicate things. Start smaller, release sooner, and don't try to build everything at once.

But I keep going

This 4-star legend: https://github.com/nola-lang/nola

I believe it is the first eCommerce platform where all the products have date as an important feature and where the search and navigation are by date - the thinking being it could help people find interesting and original birthday presents and anniversary gifts. I've also built it as a multi-vendor platform so it can hopefully live on once I've sold my things. Note that I'm the only seller and it is all UK based at the moment, but it has just been launched.

I've a blog post with more info at https://michael-lewis.com/posts/vintagepresents.com-date-bas... if anyone is interested.

It's AI work journaling chat. It's called HeyCheero! Cheero is a squirrel, mascot/personality of the companion in the app. My wife and me come up with the mascot while feeding squirrels in the park. She is working on his portraits to put on the page now. At first, I was excited about building an AI app but now I'm more looking forward to creating the mascot and it's personality, haha.

You can meet Cheero, there is free trial. https://heycheero.com/

* better squares-in-circle packing for n = 31 and n = 34: https://github.com/dllu/packing and https://erich-friedman.github.io/packing/squincir/

* vibe coded CAD application (paused due to lack of quota on my $200/mo plan). Rather doubtful if GPT-6 Astra can one shot a correct B-rep kernel but whatever: https://github.com/dllu/viboceros

* ray traced chess demo: https://github.com/dllu/chess-rtx

It has proven surprisingly resistant to AI so far - Astra can make a very quick prototype but upon review it had many defects. I have had to guide it very thoroughly to find all the random solver bugs (bad conditioning, formulation, bugs in openscvx which I had originally had the AI port to rust, etc.) preventing well-behaved solves. But I think (hope?) I have turned the corner on these.

This will enable some very interesting further experiments: full mission planning, Falcon-9-style ascent with split control, vehicle swarms, etc.

The second probe in Boston fixes this and the site can now say "unreachable from Asia" versus "down for everyone". Many of the existing checkers do not do this and they are prone to show false positives.

Site does not use cookies or analytics. Pageviews are counted from the proxy access log. There are 634 curated sites so far.

There are no ads either, it's mostly been for my personal learning experience, hopefully others will find it useful.

There is even a free API and of course a MCP server.

https://downforjustmeoreveryone.com

Any feedback is welcome!

This approach allows people that just want to replace their familiar client with something slightly more modern/performant/cross-platform, all the way to entirely new experiences.

There's at least one other project, not yet open-sourced, which is going more in the direction of adding all of the enhancements by default.

https://github.com/jondwillis/kuluu-ffxi

You would be surprised at how many over / suboptimally-provisioned dbs, idle resources, forgotten EBS snapshots, outdated / previous-gen instance types, and vestigial networking that leads to nowhere I find.

If you want to check it out https://cca.dragonfractal.com

The most interesting and experimental part of Triplox, are incremental queries (https://triplox.xyz/incremental-queries/overview/). You get the full power of Datalog with incremental query support. Views or other kind of streaming solutions can be built on top of them.

I have also been experimenting with Worst-case optimal joins for the standard engine.

These behave fairly similar, until I need to work on the ingress, or network policies, or anything else that is kubernetes specific.

I've finally taken the plunge into running it all locally on k3d, and have a pretty nice setup now with the manifests syncing with ArgoCD.

I'm thinking of packaging it up into a justfile and documenting it, but wondered how other people work on these sort of things. Do you just accept the shortcomings and test in staging envs for kubernetes specific changes?

The idea is to make it easier for not-so-technical users to ask their Claude Code or Codex (or similar) agent to deploy the app. And then the platform handles backups, login/access control, vulnerability scanning etc.

A Claude Code plugin is under review at Anthropic to make it very simple to use. For now you can also install it from Github: https://docs.apphaven.eu/agent-integration

https://warp.playlistmachinery.com/

Meanwhile, Daniel Greene's dodgy whiteboard video has a million views. Don't mind me as I eat these sour grapes...

Next to that I'm also very into CAN bus decoding these days (on the side) and building ESP32 with a screen to show the real CAN bus data on a 4" screen.

https://github.com/djeastm/karaoke-pitch

Firefox: https://addons.mozilla.org/en-US/firefox/addon/karaoke-pitch...

Chrome: https://chromewebstore.google.com/detail/karaoke-pitch/facck...

The Firefox one has 12 average daily users already, so that makes it my most successful side project ever haha.

For that matter, I also decided to self-host SourceHut because I will no longer be in compliance with their new policy. I have the flakes set up to inject them on my server [2]. This was very AI assisted.

[1] https://git.brucewillis.sexy/~tombert/fs_index I promise it’s safe for work, despite the URL. That’s just my dev URL that I play with. Code is still a mess though, so proceed with caution. I will eventually clean it up.

[2] https://git.brucewillis.sexy/~tombert/sourcehut_flakes

Also working on https://fikalingo.com, basically replacing my current language learning app usage with that own made app. It has on-device based LLLm practice generation based on user given topic. For example word guessing practices can be created from a topic "words i might need as a auto mechanic". Only got to release the ios and web apps so far.

https://curio-six-wheat.vercel.app/

It started as a curiosity while I was exploring some economic data. I wondered if there was a simple way to keep an eye on a particular datapoint over time, which led me to the broader question: could I have one watchlist for all the different numbers I’m interested in?

It started out as a weekend project. I’ve been finding it surprisingly useful to use myself these days, and I’m continuing to explore where it could go. Would love some feedback on it from the folks here!

It’s been really fun working on it and especially rewarding seeing the game bring friends together.

[0] https://tableforge.gg/

Also, an orchestrating agent that supervises subagents running tasks by checking their output and qualifying their results by efficiency and time consumed. It is amazing!

I am currently building an app every couple of days, but with this orchestrator I can build many apps in parallel. It is raw at the moment but it works

Now the time we spend writing prompts will be spent writing plans, tasks, schedules and metrics. While super interesting, this is definitely not the route I want to take for the sake of my sanity. I think we may start asking our model to write plans and tasks for us too, but the more complexity we add, the more complex thoughts we have to manage as AI architects

Also hacking DeepSeek Harness to circumvent all restrictions it has, giving it super powers to run unattended with full access to everything

I initially built it to help me read AI papers before discovering AlphaXiv but then I just kept building it for the love of the game

Might have some rough edges but one feature I'm excited about is a more personalized notebook LM style audio generation capability for any readable material

(Another reason to build this was to kick the tires on a framework I've been building to power my own apps - https://hudsonkit.com - helps me ship iOS, macOS and web apps with shared primitives)

I'm struggling with the extremely different feedback from the internet: Some niches give excellent reviews, some literally destroyed it. Some days are fun, some make me think if i should cancel this whole thing.

https://notesplus.io

Trading Results as a service.

Our philosophy is Capital protection first, so we focus on protecting capital and managing risk while trading, and avoiding large losses enables compounding and high returns in the long run.

Infused with my co-founder's three decades of experience in trading & finance.

We don't want all your money. We want to be part of your diversified portfolio, which should also consist of other things like index funds, bonds, etc.

Initial allocations will open within the near-term future. For the founding investors (as we call the first clients), we also offer a portfolio review to align your portfolio with your long-term goals, a direct line to founders, and other things.

https://autotradelab.com/

Bulk domain name datasets available for instant download, hassle-free (without submitting any application forms, waiting for approvals, etc, etc).

383M registered domain names across 1582 domain zones.

Updated daily, with historical snapshots. Want latest snapshot? We have it. Want a snapshot a year ago? No problem, we also have it.

Daily newly registered and removed/expired domain lists are available for download as well. Want a list of all new domains for the past 3 months? Sure, just sign in and download them all from our website - https://allzonefiles.io

Use it for: marketing, lead gen, SEO, domain research and investing, data enrichment

We collect the domain data so you can focus on building products with it.

A multi-harness orchestrator running agents on your VPS, with a built-in issue tracker (like Linear) and gas town like communication system.

Agents can split up big tasks themselves into subtasks, run each with a different harness and model and communicate so they keep running for days until everything is completed and integrated.

There's lots of tools in this space, but our combination of agent-focused issue tracker and agent-to-agent communication is quite unique and, for our use case, delivers an actually working software factory.

It's still a little rough around the edges but we'd be super happy for people to see if they get the same benefits out of it that we do. It's free and open-source.

Coffee roasting class for home roasters. Open fire traditional Ehtiopian styles then shifting to covered pots and some introduction to dedicated machines.

Repairing the ice maker in the frig. This will be my third time in. Of all the uses of Ai, diagnosing appliances is easily the most amazing to me. I like the work and thought involved in figuring things out, and I like saving time and money getting it done.

The current version understands the chapter and generates looping music that matches the feel of the whole chapter. The idea in the long run is to create a video game like music engine that reacts to where you are in the book rather than the environment like it would in a game. Battle music when there is a fight, calm background music or even a matching forest ambient if the characters move through a forest landscape.

Check if out! It's all free and you don't even need to sign in :) https://booktunes.app/

Started it mainly to experiment with C++ design patterns. Honestly never expected anyone to actually use it, but somehow it picked up some traction along the way :)

Graaf is designed to be easy and intuitive to use while being performant and generic enough to be useful.

Just tagged v1.2.0. It's also in Compiler Explorer now if you want to try it without installing anything: https://godbolt.org/z/sG9o3zsWr

Repo: https://github.com/bobluppes/graaf

Traditional error trackers have two failure modes:

1. False positives: They show you thousands of errors, and you can’t tell the impact on the user

2. False negatives: Many user-facing issues don’t throw exceptions, so they go unnoticed.

Opslane combines error tracking and session recording. And there is an agent that acts on both.

Opslane reduces false positives by ranking issues based on how many users are facing a particular issue. It also learns about your product by reading your code and watching your session recordings.

False negatives are harder. Opslane reviews session recordings to spot frustration. They look for rage clicks, dead clicks, and abandoned forms.

Here is a link to the repo: https://github.com/opslane/opslane

The app has recently moved into production, so I'd encourage anyone with verbal but pre-literate kids to check it out.

The basic pitch is high efficiency acquisition of the highest yield phonetic mapping skills, and nothing else. I myself am something of a screen-time zealot and very wary of applying engagement mind hacks against kids. The narrow focus allows for good progress on a very modest schedule (recommended cap at n minutes per day for n years old, n >= 2). I defer the social and cultural aspects of learning to read entirely to parents.

It is mostly intended for parent-child co-use, although kids with a bit of experience can drive many of their own sessions most of the time.

Much of the challenge has been figuring out how to display information for pilots. The global NOTAM system is broken and works on the basis of legal liability, wherein NOTAMs are published to comply with requirements, and pilots are required to know all relevant information but important things get lost in the noise.

For example, my home airport has a runway closed. It is a single notice, but unless you carefully read 100 notices (many of which are about cranes and unlit objects in the general vicinity) you might not see it. I'm trying to make it such that no information is ever hidden, but with some sort of mechanism to surface more important things.

My summer project was to challenge existing 2D / 3D visual effect creation tools (touch designer, comfyUI, etc.) with something agentic as the true foundation (not just slapping MCP on top of an existing paradigm).

It also came from the following observations:

- people are making their own coding harness, why not one for realtime visual effects?

- using Claude code or codex to make art and installations is absolutely fantastic, but you usually end up with a lot of friction and paper cuts when it comes to deterministic workflows and concept iteration.

SubjectiveZero is the free and open source project that resulted from it. It’s still following the classic node editor paradigms but making the nodes absolutely more malleable while also combining a user experience flow optimized for ideation and iteration. I definitely invite you to check out the showcase and examples on the website, but basically it feels kind of magical when your editor just “get” what you want, and nudge your exploration into adding more little knobs here and there so using the tool feels more like playing rather than “operating”.

I also liked the emerging concept of an adjustable abstraction ladder, meaning people who are very technical can still get as much granular control as they wish to while people who just want high level concepts and vibes can just use prompts to try things out.

When it comes to determinism, the tool has some neat features like an agent graph to constrain agent workflows, overpowers MCP that drives user interface changes as the agent makes progress, allows the agents to verify their work and coordinate so the usual painful wait for agents to be done is somewhat minimized. There’s also a way to do basic model routing to tweak your intelligence/speed ratio.

I’ve personally used it to make art and fun experiments. Feel free to send feedback or contribute tokens to the project if the concept speak to you!

After 3 years of dev, we're just about finished shipping preorders. For US customers, black units will ship immediately + white within 3 weeks.

Lots of learnings on this one. Getting lots of great feedback from early customers. As always, hardware is hard!

Lately I've been playing around with GPT-6. I have a much better webpage coming this week, with scrolling animations built with Blender and three.js. We also completely rebuilt our backend from scratch and moved off of AWS.

[0] https://restfullighting.com/atmos

The interesting part has been the data pipeline rather than the website itself. Foreclosure information is scattered across county sites, auction platforms, and other sources, all with different formats and update schedules.

I’m currently pulling from 20+ sources, normalizing the records, deduplicating properties, and enriching them with property/location data. One surprisingly difficult problem has been handling stale records when upstream sources change or republish old auction information.

Still working on improving data freshness and coverage:

https://www.foreclosuredatahub.com/

Would be interested to hear from anyone who’s worked on aggregating messy public datasets at scale.

https://tv.mrdlads.com/?tv=5 (boots into TV mode)

Youtube sub list viewer + Youtube TV scheduler

Setup a little finicky, have to do via google sheet / appscript to access use your youtube API quota.

Build and share custom youtube TV stations.

I mainly use the primary table view, you can double sort columns, middle click title column to queue a playlist based on how table is sorted, it'll generate playlist for X minutes, modified by playback speed, skipwatched filled etc, very useful for staying up to date with your own subs. Nominal fee for syncing between devices.

It’s easily extensible, has a nice simple TUI, and is resilient to an adversarial agent that tries to remove the guard.

https://github.com/manuelschipper/nah

Latest feature is the ability to share custom monsters with the community so they can be used by others in their own encounters.

The user numbers are climbing slowly but steadily without me doing much if any promo. I think this is actually pretty good since it gives me the chance to expand functionality slowly while a few people are actively "testing" the site.

Maybe at some point I will need to do some more promotional work though even though I am not sure how yet :P

I'm working on fyai, a rather opinionated agent harness, built to work as a unix tool and the idea that eventually AI is going to be a commodity, where having control of your own data is what's important.

It is still quite alpha, but at a usable state.

The biggest technical difference between fyai and other harnesses is that in fyai the state is durable and stored in a disk deduplicated arena, which means that git like branching is free and storage requirements are very modest compared to JSONL/SQLite storage.

Latest additions has been full markdown/mermaid rendering support and (very alpha) Claude code and Codex session import.

Rough idea: get a list of urls with classical music concerts -> send each one to a coding agent to build a crawler -> validate and run on an infrastructure for "free". Classical music is an ideal use case, because the number of concerts is small enough on an average website that it doensn't require many workarounds, and the websites are usually pretty crawler-friendly.

https://classicalbot.com/

The core engine (genetic MIDI generation) started 3 years ago to drive hardware synthesizers. That was good old handcrafted code, just a CLI tool.

At some point I thought I was done with it, but AI coding tools let me build a nicer GUI around it and make it more accessible. Eventually a web version with built in Csound soft synth resulted which is where it's at now.

There was no larger goal besides having fun, and maybe make some interesting sounds or even music that is generated in real time. Some of example Csound "patches" I use as background music.

I wanted something that I could load in a step file, push a button and have the CAM just “happen” (while still having overrides and custom controls).

I build combat robots and am a Mac user. I was frustrated at the limited CAM options (fusion 360 is bulky, crashy, slow. kirimoto and many others only do STL files and don’t have adaptive tool paths).

I’ve been working on OttoCAM for the last 8 months. It’s free while in beta, and when it does go paid will be a single affordable purchase (like Lightburn).

Korg Prophecy:

https://www.youtube.com/watch?v=TnSvMZZmUsw

https://github.com/joelanders/profligacy

Elektron Monomachine + Machinedrum:

https://www.youtube.com/watch?v=NmfE5xljYRU

https://github.com/joelanders/gearmulator-md-mm

Currently looking for a job in Berlin or remote :)

Ai-rganize: Allows AI to identify, classify, and organize local files, making the core workflow naturally reviewable as scan, propose organization, approve, rename or move: https://github.com/adefemi171/ai-rganize

Runeward: Been using this locally myself with hedr to secure all my agents: https://github.com/Runewardd/runeward

Compears: grocery prices are shit now so I designed this to aggregate prices across multiple grocery stores: https://compears.shop/

I made a tiny ML model (~2.4 mil parameters) that can mix music in a never-ending continuous stream where transitions between tracks are 20-60+ seconds long.

It's currently just streaming from my own personal music collection that I have bought over the years, which is primarily DnB so it's pretty niche at the moment.

I've been working on this on and off for the past few years to learn more about machine learning and other technologies that I was interested in.

It uses HTTP3 WebTransport on Chrome, but falls back to WebSocket for the other browsers.

If anybody likes listening to music this way, I'd love to hear your thoughts on this.

- I've also been working on my full-stack JS framework (https://github.com/andrewjk/torpor) which is now faster, has more built-in components, and has single file code routing which can be migrated to full file routing when your site gets bigger

- Both started by a human but now mostly implemented by robots

https://www.linkedin.com/posts/okaleniuk_isosurface-mesh-stl...

The lattice configuration comes from a conventional triangle mesh, so you can prepare it with any STL editor of your choice, and the lattice shape comes from a precalculated Fourier polynomial in barycentric coordinates.

https://okaleniuk.codeberg.page/blackboard/barycentric_fouri...

cd to tests/layout..

git clone --depth=1 https://github.com/web-platform-tests/wpt.git

tell it to run the tests and fix any issues with layout and append any issues with domonic into the PLAN.md

I'm targetting the CSS2 folder atm.. so you can tell it to switch to any folder within there for now.

Thanks,

I’m seeing near-100% root-cause accuracy on synthetic test data and am looking to validate that on real production workloads using OpenTelemetry tracing. If you’re open to chatting or experimenting, drop me a line! I’d also love to hear ideas or how we can improve observability.

[1] https://tracedb.ai

- When your agent is stuck on a bleeding edge issue, search Push Realm first for a solution. - If you find a solution, your agent can mark it as successful to help surface the solution to others (and hopefully save fruitlessly burning more tokens) - Can't find a solution? Post an open problem with your current investigation. Another agent may be able to solve the problem, and will have a head start thanks to your context - Solutions can be linked/edited/have addendum added by any agent, allowing complete, up-to-date solutions for a range of cutting edge issues

It’s the first proper library I’ve published for the world to see (still in uni, so yeah, not as experienced as most of you) and I’m still figuring out the bookkeeping that comes with releasing new versions etc, but it’s been a great learning experience and even the vain hope that someone will find it useful one day is quite nice.

https://github.com/lyorig/sandlot

One UI for every coding agent - VS Code extension (GUI) to launch and work with any ACP-compatible agent harness. Supports Claude Code, Codex, OpenCode, Qwen and many others - https://agentclientprotocol.com/get-started/registry . Does not require any new subscription or user ID - this is still handled by the harness, so you can use existing Claude Code or Codex subscription. Multicoder just gives you a high-quality GUI to work with any of them without mental switching cost.

The idea isn't new but I felt enough time had passed that document-first AI tables shouldn't need be gated behind a few big names, a sales meeting or another subscription. Ragextract is really aiming to be the lowest-friction AI utility for everyone's toolkit.

Still in active development and ideal for anyone working with a lot of documents and needs their extraction in organised rows. Particularly interested in feedback from anyone thinking of leaving Airtable this/next year.

It allows you to spawn Claude Code/Codex/OpenCode sessions with an API call.

You can define an agent in YAML, and git push gets you an endpoint. Full VM support (can install any dependencies), Spawns in <5s, with latest commit check out, IAM-like permissions for the agent. You can download/stream the full harness output too.

I'm looking for a cofounder in SF or NY, so please reach out if this is interesting to you.

An agentic system which scans a whole countries political decisions. Wrote a blogpost about it here: https://lorentz.app/blog-item.html?id=scanning-sweden

Reusable on any country's political system as long as they have legal mandates to keep political documents public (most of EU). Still a long way to go, but pretty in a pretty decent shape already. Wrote it for the Swedish election, but didn't get far enough for it to have an impact.

Will continue with for Finnish elections 2027 (on new domain).

1. Creating a MacOS native personal finance tracking + networth dashboard, inspired by Gnucash but no complex business stuff (e.g., Tax invoices)

2. Creating a vision / journey board that tracks your life milestones and displays them in a personal mandala / spiral :)

3. Trying to build an visual story telling tool that lets me convert my medium to long form essays into visual animated companions for youtube. e.g.,

Press 'ENTER' to Feel_ // A Techno Phenomenology https://www.youtube.com/watch?v=lq5tlsX8uIM

Anyhow it's basically just twitter but as a chat app. Everything is tag-based and there are no channels. Instead, users create and share lenses, which are just saved searches. That way, you can "speak in multiple channels" at once, or carefully filter out specific people or topics.

The best part is that I can speak, and then organize after the fact.

https://pipoca.chat

It's an extension of a longer-running project (https://www.forth.news) where it exposes and organizes 100s of newsworthy primary sources -- statements, press releases, press pool reports, emergency alerts, etc, whether from press email lists, X/Twitter, Bluesky, RSS, etc. The web UI is similar to TweetDeck - and it sends notifications.

Latest update now allows some panels to be based on an LLM prompt (i.e. "everything about the Iran War and its effects in the U.S.") which searches the entire catalog of sources as they are posted.

Right now I am making it for personal use, but thought posting about it here could let me knew whether other people had the same struggle, and whether I should consider releasing it publicly.

Still iterating. Started with something else, then turned that into tools, then turns that into agents, then turned that into an assistant. Now trying to make it generally useful, quite painful at times... but want something that is not Muse or ChatGPT or Claude or Gemini... and not Hermes or OpenClaw. Currently just fixing all the broken styling/css, etc, no separate frontend, single Go binary.

Self host if you like - https://github.com/micro/mu

It's being written entirely in Python: Kivy for the desktop and mobile game UI, and aiohttp for the server.

I've written very detailed specification documents for every technical and game-design aspect of the game, and I've implemented the core game engine myself. I'm letting an agent do the rest, incrementally and under supervision, tweaking the specs as we go along. So far, a very pleasant experience.

My goal is to reach beta by the end of the year, and publish the game on Steam by mid-2027.

https://opaque.info - a security product for creating gated policy control and auditing of LLMs

https://curbwise.org - a community crowdsourcing product geared at improving your community

https://ukodus.now - a sudoku engine (tui, wasm, ios)

https://adanima.ai - autonomous marking product

- I've been tweaking a bot that I built to doomscroll job boards for me, to recycle more parsing logic between target sites. It turns out that, much of the time, I can cut down on DOM-based scraping a lot by just parsing schema.org-based JSON-LD. Also casually researching vanilla Web components, view transitions, and Signals in a general effort to make the whole thing less framework-heavy. (Plus it will have side benefits to building the crawlers to have a better understanding of light vs shadow DOM.) Eventually I need to get to figuring out how I want to handle distributing this local-first app across multiple clients... I've been putting that off for a while, but it kind of crosses over with the JSON-LD thing, in that (even more than it did before I found this) it also just makes a lot of sense to use a browser extension to collect potential matches passively.

- 3D printing experiments. I got a used SV06+ a few months ago that turned out to be a lot more finicky than is suited to a first time user... but that was in the course of trying for several months to make plans with a friend that was getting rid of her Ender -- which I then managed to resurrect using all the cleaning tools and tinkering research that I put into my fussier machine. I've since been toying around with a lot of different ideas on how to clean up my workspace and/or fix/reuse stuff I have already (parts trays, Skadis panels, a case for an old Framework mainboard, various instrument stands...) and also toying around on paper with what kinds of printed items I might be able to sell.

- Starting on cleaning up a basement that resembles the Research floor from Control. Also a use for the printer, because if I can just print cheap tools out of PLA then I don't have to care about possibly needing to sacrifice them to the mold.

- Various Coursera stuff. My state has some partnership with Google for "AI readiness" training, that grossly undersells the various other adjacent topics offered, ranging from cybersecurity to marketing and eCommerce. Stuff where it may be a relevant topic at points, but isn't the subject matter.

It’s an open-source Mac app that transcribes meetings and can save screen context, so I can search through it later. It runs locally by default with Qwen LLMs as the main engine.

I’m paying even less attention in meetings now, though. “I’ll check the summary later” has become a little too convenient.

It's based on the Server-Driven UI philosophy where the backend streams both code and UI into a frontend that just knows how to render what it's told. This is pretty cool because it makes it makes over-the-air updates possible.

It also follows the batteries-included philosophy of Rails. Has an ORM, background and cron jobs (all based on Postgres), Django-style migrations, JSX Emails and pretty great FFI that's built around a simple `"use native"` directive, in the React Server Component fashion).

all in one Golang framework with ultra fast performance, MCP , Dashboard, Workflow, Events, SPA Template, Diagnostic and observability, OAuth2, Middlewares, Fleet tracing, Scalar OpenAPI

Trace Python+NumPy programs into SymPy formulas and check them symbolically, across all branches

I got so fed up with my support system, and after years of using tools like Intercom, I built my own platform with everything I've ever wanted in a support desk. The biggest upgrade for me was the MCP connection. I can pull down a ticket with a bug and solve it with Claude (or Codex) and get the agent to fix and then draft a reply in my own voice. It also allows customers to connect their agent to my support desk and ask questions. This would be agent to agent with a human in the loop. But the normal day to day stuff is mainly live support or AI enabled support.

(Pronouced FreeStyle) is multiplayer AI-music-generation party game. Players join a shared screen from their phones, submit their verses from a set of helper prompts and then hear those ideas turned into short generated rap battle performances. There is also non-shared-screen mode intended to be played globally with friends and strangers, but we are having a hard time figuring out how to incentivize players to destroy one-another on diss-tracks with minimal knowledge of the opponent.

It's a CD tool for Kubernetes built on top of Flux and OpenKruise canary controller to bring a full-featured end to end delivery on Kubernetes over multiple environments in a declarative way without the pipelines.

I wanted to stop reinventing the wheel with pipeline engines every time I needed to deploy something. Every stage of the delivery is just a composable component (health checks, smoke tests, schedules, environment promotions, service dependencies).

I just released a new version recently that integrates with GitHub so one can track exactly what's deployed where and how far your change progressed.

Been working on Feedbun for a little while, Elixir/Phoenix stack, with bespoke LLM fleets for production workflows. Recently just started using React Native (Expo) for the companion mobile app so I can use it when I shop IRL.

Also started working on a 2D strategy game using Godot engine, still super early days. Been fun to experiment with different LLMs capabilities on game development.

My challenges are: The Spec has ballooned to 2.5k lines, and I dont know how to "split" it up for coding/implementation.

I've been working on a project that lets you export any piece of web and hotwire it into anything you want on a portable, single-file HTML that works anywhere.

Fully open source, no-deps, four single-file tools.

https://github.com/octantes/scavenger

This builds on some marvellous reverse engineering work done over at https://github.com/OpenMinimed.

Here's the watchface: https://apps.repebble.com/b785c22984c843299e95bba0

Results also go to Vanta, Drata etc. as training evidence, since that's why most companies need this anyway.

Research on which query language to use when performing search/query operations over HTTP — specifically in the context of the new HTTP QUERY method.

Use this research to figure out, for your own API, whether one of the 68 query languages analyzed here already fits the query content of a QUERY request — or whether none of them do, and you're better off designing a brand new, purpose-built query language instead.

It's pretty simple to set up and is designed to "just work", set and forget.

Recently, I've been experimenting with an Elixir Lua runtime (https://deflua.com/) to build custom feeds by parsing HTML, which has worked exceedingly well, so hoping to release that soon.

It's an extremely niche product, but has been growing well organically, which is nice for a side project!

It is a AI system design interviewer, structured and time limited.

In this AI era, I think system design is more important than ever. Thinking about how much I learned in interviews, I created Chalk to train for system design interviews and self learning.

My colleagues and I were not happy with the state of 3D object detection frameworks. Things like mmdetection3d, OpenPCDet, etc. try to do way too much than what's needed for a good 3D ML library. They even came up with their own version of pip named "mim"! vision3d focuses on just doing the things that you shouldn't have to author yourself when training a 3D ML model: semantic tensor types (using torchvision's TVTensor abstraction) defining point clouds, images, bounding boxes, etc., transforms, dataloaders, 3D object detection metrics and some (optional) visualization utilities. We also aim for excellent interoperability with torchvision. Almost all torchvision image transforms can be composed together with vision3d's. In vision3d when you compose transforms together we automatically check to ensure the operation does not break the geometric consistency of your 3D scene. See here for a nice interactive example: https://vision3d.dev/auto_examples/transforms/plot_transform...

Under the hood vision3d also does a lot of cool stuff to make consuming it as a dependency as easy as possible! For custom CUDA and C++ extensions we use the Torch Stable ABI meaning our single published wheel should work across any PyTorch >= 2.10. We also statically link to the CUDA runtime which allows our wheel to work out of the box on any host which supports CUDA >= 12.8!

Currently we are working on typing our API with Tensor shapes with Pyrefly (https://pyrefly.org/en/docs/tensor-shapes/). We aim to be one of the first libraries to support static tensor shape type checking (with some nice opportunities to contribute to Pyrefly along the way).

If you're working on 3D object detection research / training I highly recommend you give it a try!

Here: https://bookofrevenue.com

To my surprise, I think it's the first open-source revenue analytics for Stripe.

I worked at Stripe building both revenue recognition and analytics, and I always wanted to build an open-source version of those. Finally, I had the time to do it.

Bonus: Revenue is not MRR nor payments: https://medium.com/@tanin47/revenue-is-not-mrr-nor-payments-...

Link: https://apps.apple.com/us/app/muntazam-habit-tracker/id68053...

- Carbonless: Calculate your website's carbon emissions

Link: https://carbonless.cc

- Aidekin: An AI assistant that runs inside your visitor’s browser

Link: https://aidekin.com

I now have a good idea of how features like chat roasters, read receipts, audio/video calls, voice messages, etc. work in WhatsApp and similar applications. The implementation might differ from one application to another, but the core fundamentals remain largely the same.

Right now, I'm mid-way through migrating the application off browser localStorage onto a proper JSON persistence layer. My first large solo project as a busy student.

I hope to make it better as I continue.

https://github.com/Disla-Novo/Dimidium_Bellerophon

Tritium - the legal IDE for desktop and web.

We're building the document viewing and editing layer for a number of AI native law firm startups.

Web preview: https://tritium.legal/preview

WASM example: https://tritium.legal/wasm

We actually offer source access here, too: https://tritium.legal/source

I started a 501c3 nonprofit last year to showcase / highlight relatively unknown but talented artists in other countries in Atlanta, Georgia and we finally completed a visa application to bring one of them to the US.

As an engineer it's been difficult but really fun learning to help promote visual arts, but AI helped speed up a ton of stuff I wouldn't have really know about (like setting up a kanboard to work alongside artists).

The existing Github alternatives...look like someone drawing Github from memory.

   [1]: https://disc.sh / https://disc.md
   [2]: https://social.coop/@netopwibby/117227113793136781

Working on my local LLM runtime Leone. It has a CPU path that verifies the CUDA kernels.

This is my attempt to improve my agentic coding workflow by giving the agent an index into the source code through vector embeddings and LLM generated descriptions with local sqlite as the storage backend.

There are many similar tools, but I wanted to learn how such a tool can work by building it myself. What I like about my own version is that I kept things simple - no MCP, no server, no watches, just a CLI that uses git commit hashes to reindex only what has changed.

Here's the skill: https://github.com/gavmor/x86-cpp-reversing-skill

It's all slop, but it's battle-tested and producing results. It's quite fun and inspiring to see some of these assets like textures and geometry that are improperly decompiled, bit shifted or something like that. produces a lot of abstract, glitchy art.

To make sure that my process and results are reproducible, I've gotten back into maintaining Concourse CI pipelines. They were very useful when we were shipping a fork of k8s for VMware, and now they are a fun way of shipping cyberpunk billboard sprites to Cloudflare buckets.

I got back into Concourse in order to attempt a more rigorous approach to generative AI experimentation as well. Unfortunately, there are just so many odd techniques, configurations, loras, and utilities striking my fancy that my experiment pipelines have exploded into the dozens, and Concourse is not a large enough or a high-level enough organizing principle.

It started after spending 15 years building AI for insurers, hospitals, data companies, and startups. Almost every system ended with "a human reviews the output". That person was usually a nurse, medical director, or certified coder. These are some of the hardest people to hire, and the same people automation was supposed to help.

The problem is that real claims do not have an answer key. You cannot reduce human review until you can measure when an agent is wrong.

Getting claims data is also difficult. It can take a year of data agreements, privacy reviews, and procurement. Even then, you may not know what the correct decision should have been. So we generate claims. Utilization and case mix come from published data. Claims are priced using real fee schedules and contract terms. Payers behave differently, like real payers do. We plant errors on purpose, so the correct answer exists before any model runs.

On top of that, we are building benchmarks for overreach, refusal, errors by record type, and detection time. We are also building small MCP tools that refuse when evidence is missing. Every number includes its source, date, and basis.

What I find interesting is how much of this sits between actuarial work and machine learning. Both are needed, but I do not see many people connecting them.

25 published refusals: https://hammer.ai/worlds/refusals/ .

Runs on rate and policy evidence https://hammer.ai/reimbursement-evidence/ and savings claims https://hammer.ai/savings-claims/ .

AgentPlugin is Apache-2.0: https://github.com/hmmrlabs/hammer-plugin

I had a bunch of extra Fable credits, so I spent about $10k running autoresearch loops on 200 of the top github repos with frontends to try and speed up the frontend performance. I distilled them down into a leaderboard of the most common wins, and built out an autoresearch loop that takes those learnings and applies them to your repo.

Works with your existing claude/cursor/codex sub in a cute custom TUI.

I just submitted a Show HN for it: https://smackernews.com/item/49687032 HN

https://github.com/office-42/word42

https://github.com/office-42/math42

https://github.com/office-42/office42

https://github.com/nordstjernen-web/northstar-browser

https://notifier.aicrew.in/setup

It renders markdown, screenshots, can send as audio, allows approval & free form reply when it direction.

iOS app - https://apps.apple.com/us/app/agent-notifier/id6763598043

Rides Claude Code/Codex hooks and captures useful information, and injects it at need (like when there's an error) for other agents. It works across your team then at a global marketplace layer, so there's incentives for people to contribute.

We're in the process of benchmarking and we are aiming for 10% in token reductions. If any team is interested, we're accepting preliminary design partners and can get you started with the benefits.

It's a simple PGN app to help capturing chess notation from score sheet and fix the mistakes

Often my son and I made mistakes (mixing up b and B, or wrong rank, missing some moves) writing the notations and existing PGN parser simply stop at the first error and discard the rest. ChessNotate highlights the error while maintaining the original moves so you can see if your fix is actually fixes the remaining of the moves (or not)

Used it in the recent chess tournament and it's been really helpful

It's tailored toward implementing a web version of the original cli app and whitepaper "grit" https://github.com/climech/grit

So basically it creates a DAG and each task node can receive some annotated data (traits) about whether the task is actionable or not.

I've been using it daily for a year or so. Slight bummer that I feel I released it 5 years overdue, though, and it's doomed to drown in noise.

Some time ago somebody posted an extensive list of things you can do to stop bots from aggressively getting your website, if you don’t want to hide behind Cloudfare.

I thought I’d make a nice UI for that:

https://github.com/ivankovic/stop-bots

As the original poster said at the time: don’t use on a production server!

That said, I’ve been using it on a production server for a month. It’s surprisingly efficient, and if you ban RU, US, IN and CN it’s extremely efficient.

https://www.patreon.com/MickeyvanOlst/posts/meet-aml-macos-1...

Typically TD for the Mac has always been a bit underserved, by leaning into some of the frameworks that exclusively exist on macOS I'm hoping more people will see it as a viable platform for this kind of stuff.

So far, they are based on ViTPose+ Large pose estimation in the context of different sports.

My demos include:

- Comparing dancers' sync performing the same choreography and computing a sync score

- Visualizing a runner's ankle path while running, as well as the average knee shape upon foot strike

- Counting chin-ups reps and measuring each rep duration

The code is open-source on GitHub:

https://github.com/jeremyipark/vision-demos

https://github.com/rmorlok/authproxy

I posted Million Short 14 years ago to HN and the search engine has been largely the same since then. Now working on a pretty major overhaul: Launching our own decent sized independent index along with some (I think) cool & useful features.

The search requires a paid account currently although I plan to post a Show HN soon that won't require any account or payment.

After being frustrated with outdated & inaccurate data Claude used when I was trying to do some property research, I thought it'd be cool to build an MCP that can provide accurate property data. Then it evolved into a full web app + an AI assistant.

This was also an excuse for me to try DuckDB in a real project. All the API endpoints are powered through in-process DuckDB querying parquet files stored in disk.

https://yups.io

The "official" syntaxis is

https://yups.io/?url=https://twitter.com/Wikipedia

But it is very flexible to manage errors

https://yups.io/www.instagram.com/reel/DdOFgxdlMjv/?stkn=MWR...

http://tricot.studio

I found it weirdly complicated to do that on other software tools like Blender or Autodesk. I just wanted to paint pixels on my 3d characters! So I built my own thing to achieve that.

You can import and export FBX. I am working on a save system so I can include a version control feature.

- Puma, The terminal browser: https://github.com/meerita/puma-browser

- Kernq, a full replacement of lsof: https://github.com/meerita/kernq

- Entroq, modern lossless compression for modern systems: https://github.com/meerita/entroq

https://github.com/milind-soni/OpenMausBot

I was particularly annoyed with how we could only use grok models with grok bot. So I started building this and launched an app which works with your existing subscriptions using ACP

It can be hosted on a VPS and also connects to cloud or local virtual computers easily.

Parliament of Owls, Pounce of Kittens, Murder of Crows - the terms of venery are for animals.

But what about other things?

What do you call a group of Roses, or Snowflakes, or Lawyers?

Well, I couldn't figure it out, so I put it to a vote.

Simple ELO scoring, Endless mode is always on, and there is a Daily Contest for you to compete in (Wordle for wordsmiths, I guess).

I'd love to hear any and all feedback on it.

https://venery.palaich.net/vote

As we move away from reading code more and more, I started learning about OpenSpec as a way to be more spec oriented to develop software. Reading specs in a code editor didnt make sense so I wrote my “OpenSpec IDE”. Very simple desktop app, no subs or accounts. Its really a markdown reader but built specifically for OpenSpec so you can read things in order and summon Claude (others coming soon) to execute the required OpenSpec commands

npm link: https://www.npmjs.com/package/open-logistics

I'll continue working on improvements aiming at the first stable release by the end of this year hopefully.

I'm finding it really good for agentic work these days as, using the kan CLI, agents do really well with it for tracking work and leveraging the board. I'm using it for all my projects these days.

https://github.com/amterp/kan

It's a deterministic judgement engine for disagreeing inputs. The input interface is shaped for LLMs now, but there's no particular reason it has to stay limited that way & it has a normal API.

I pulled in a lot of research on conflict logics to build it out.

The next big push technically will be an ingest pipeline and a more sophisticated logic engine.

1. Play a YouTube video on a TV-connected Mac

2. Mirror a Mac or iPhone screen on a TV-connected Mac

The senders need macOS 26 or iOS 27. The TV-connected Mac can be running macOS 13 and up, so it's a nice use for an older laptop.

The apps are in app review now.

- rowboat variant that is a little more tuned to what i personally need ( effectively ready - currently testing ) - simple platformer for kid - done ( was fun ) - isometric rpg ( started yesterday ) - so far results are better than anticipated, because the designed underlying system surprised me - pending - and a whole bunch of smaller tools that come and go

Codex seems to be now where Claude was not that long ago.

* All of which are materials about, or software designed to run on or for the original XBOX. The desktop tools are probably useless to most since they're designed to run on old intel Macs (circa 2009) but I might upload them somewhere eventually.

https://www.powerbank.energy/

Looking to pilot for free with small qualified teams (early-stage startups with real/immediate need).

hello@llmsolutions.ai

DeepSeek can query a processed climate dataset directly, and other agents can use the same interface:

https://climate.fiodorov.es

---

See also:

https://hn.fiodorov.es for RAG search across Hacker News comments

I've added some playful collaborative parts, and I'm doing a playtest of it over the next few weeks before releasing it as a demo on steam at Next Fest.

[1] https://tool.io

[2] https://github.com/tool-io

It's an ADHD medication companion. It helps with remembering to take your meds, understanding the effect curve, getting lifecycle notifications (when it peaks, when it starts to wear off), pacing multiple doses throughout the day, and managing your supply.

It's built for iOS and uses the apple ecosystem to ensure privacy for your health data. Data is stored in your own private iCloud account and we do not have access to it.

It's a breathing app that uses your phone to recognise and measure breathing in real-time. Breathing also drives interactive visuals, e.g. fluid, cloth sims and soft body sims.

I have been meaning to make an Android version, but as an interim I started building a web version of simple breathing patterns here: https://lungy.app/breathe/

You type: radius=10<enter>gc<tab><tab>50 50 r<tab><shift-enter> And right away, you have a circle on the screen.

https://easylang.online/ide/

So I'm making one app that has all the games I can think of without any of that crap. https://suddenlycards.com

It has online play which is P2P with a very simple service for connecting players to each other. It also has bot play, with a mix of heuristic-based bots for some games, and bots with small neural nets (of various approaches) for others, depending on what has worked best for each game.

I'm also working on my own game framework for vibing games (which the above is authored in). I have about a dozen prototypes going, and I've fully ported Spectromancer (a game I own the rights to) to it. https://nanogame.app/spectromancer

And also Kronikle https://www.kronikle.eu/en/ an app for local libraries. It creates public display interfaces that (I think) are good for showcasing their events.

If either of those are interesting to you, please reach out!

For example, I am helping some restaurants learn exactly how much each item on the menu costs, what the margins are, and how much profit each dish is bringing in because I integrate with their PoS system.

https://imgur.com/a/C127GOY

It's all a part of GetSetReply which is turning into a small suite of tools for SMBs

https://GetSetReply.com

A new UI library made with zero dependencies (native web components). I just made it public as I actually use it for my personal projects since past year.

The core principle is to help with UI development without bloating a project. It works with vue/nuxt (tested, my projects are done with it), but also react/angular/svelte/etc.

One feedback I got from reddit (I published it this week there) is that AGPLv3 may be a problem for adoption... still not sure if should I use MIT.

Simple digital signage without subscriptions. The goal was to help reduce some of the challenges with updating signage based on images and videos using low cost devices.

Started as a side project roughly when the PI3 model B+ was released. It wasn't until PI4 that it felt fluid and functional. PI5 devices are ideal configuration.

The memory price increases have made the devices too expensive to be called a low cost solution anymore.

1) https://git.koehr.ing/n/solace

There's a demo app here that only works on desktop - https://fab.ooer.com/ (scroll down in the right hand menu to quality and change to 'trace' for photo mode)

https://github.com/slyall/auckland-stop-display-simple

Some other projects doing similar stuff but I found they were hard to understand (and mostly used an old API that no longer exists) so I (well AI) made mine with small scripts and included curl examples.

Iron volume, recently added a kettlebell complex generator which isn’t too bad if I say myself https://www.ironvolume.com/

We mostly focus on things you cannot find in bookstores: bilingual stories with parallel text for multilingual homes, and non-fiction for kids who have hyper-specific obsessions (like tunnel boring machines or wastewater systems).

Seeing youtubers' reactions has been so funny and encouraging :)

https://www.balladlabs.com

My last company (Courier, YC S19) had great inbound but we never were able to scale it. Ballad plans what I should write, drafts in my voice, publishes to my accounts, and handles attribution so it can feed that into what it writes next.

https://picobble.com/

Not like I'm gonna anything much with it, just was fun to get something nice-looking and presentable up for once. Working on polishing more of them and, of course, designing new ones.

2) A font generation system, inspired by Iosevka, albeit much much simpler. Learning tons of interesting technical things about TTF and WOFF2.

AI can make a good one-off character, but keeping that same character consistent across dozens of product illustrations is still surprisingly difficult. That’s the problem I’m trying to solve.

Would love any feedback.

Have tried contacting local hiking clubs to use my app (the app 'fixes' a photo to an OpenStreetMap.org background with the use of Exif information, so that a fixed photo can be shared which is already mapped to GPS coordinates) but no luck so far.

As of present, around 100 users (worldwide).

The file format is open source, designed for LLMs and for source control. The app has a visual diff system built in.

I designed RapidCAM for me as none of the available options really met my needs. Happy to see that other people are now using it.

https://pulpitbase.com

https://beacio.com

Currently building for myself and managing my own work with it, would vision something alternative for confluence.

Would love to have more collaborators helping to build an open source project - https://github.com/entangle-cloud/wave

Browser extension for declarative web scraping. Mostly making it nicer to figure out CSS and XPath selectors thinking of some sort of REPL but I'd need to test the ergonomics. I want to reduce how often you need to use Inspect and the browser console.

Finishing up a PoC for a playwright based scraper that uses the same declarative config as the browser extension

https://allthedamn.tools

Initially started as WhatsApp Team Inbox. But, now I am adding telegram bot, emails and MCP support. Eventually, I am going to add like Messenger, Instagram, Line, Viber, Discord, Slack, etc...

So, it will be a bridge between your/your business communication and AI via MCP. If you want to create your own agent you would be able to create as well.

I vibe coded mostly, but once a while I go in and refactor heavy.

[1]: https://github.com/utkarsh261/pho

- We have accumulated almost all the equipment needed to setup our FM broadcast. The main piece of equipment we still need is the EAS Decoder.

- Our studio space build is in progress. I recently welded some tables for the booth and found an old Orban Optimod for our airchain.

- We have over 80 shows and our roster continues to grow.

If you are in Los Angeles or love community radio please reach out.

https://github.com/amir734jj/symmetric-crypto-chat-room

Share an encryption key with someone offline, then chat with them (text + voice + video + file) encrypted with that key. Your JavaScript browser only knows that key. Nothing is shared. True end-to-end encryption in your browser.

https://decisionpoint.io

The new version gives me a baseline for adding a lot more capability, while maintaining Quality, so I'm beginning to map out the way forward.

The first thing that I'm doing, though, is revisiting most of my old dependencies with an LLM, and improving the corner case handling and documentation. That will take a while.

https://dstld.news - I have always wanted a personalized news site so I built one using a few news APIs with AI summaries.

https://hn.wreet.xyz - I'm a big fan of skeleton.dev and wanted a HN frontend with all the fun themes.

Nothing too exciting, just trying to find the joy in making again.

Tula shows your true cross-venue exposure across HyperLiquid, Aave, and more, what breaks first, and more.

It's a terminal tool. The experience is very similar to any LLM terminal tool if you have used one.

You can also add an agent and ask things in plain English. Live at: https://usetu.la/

Thinking about making an open-source library specific to Vector related operations like clustering, classification, anomaly detection to make it easy for developers to get more out of their vector embeddings. Basically sk-learn for Vector operations.

Fully Open source, free forever of course.

Aphorio. It’s a fast dashboard for creating web servers, docker containers, server resource management, and transmission testing.

It now achieves a single socket send speed of 6,000,000 messages per second (5,000,000 round trip). Try out it’s interactive demo.

Demo : https://zekcrates.itch.io/eastern-front-1941-43

Demo : https://zekcrates.github.io/eastern-front/

https://countryguesser.jkoff.ca

Looking for feedback from people who already run Claude Code and are testing out new AI software factories or tools.

Try it here https://github.com/Team1-dev/Team1-Factory

Please only run this on a VPS or isolated environment and not on your personal machine as it runs with full permissions.

https://housepriceguess.com/

It's just a fun game but can be useful for people wanting to get a better sense of what the real estate market is like at the moment.

I should really have added a bunch more games by now but I've been sidetrack. Mentioning it here has already given me a bit of motivation to do that now.

Any feedback will be much appreciated.

Solo-development on a project of this scale has taught me a lot about prioritising where I spend my time and in what order I roll out application code as well as how to ensure I lean in to write once run everywhere design around libraries and component design.

It's a collection of daily games with some classics like crossword and sudoku, some geography games like draw the country shape and pick the country from a borderless globe, and a few more. Ten daily games in total.

Word Shift and Nine Grid are my the ones I enjoy the most. Would love some feedback!

It's an idea I had to basically makes it possible to checkpoint, branch, rollback the entire vm kind of like git but on the entire computer.

https://github.com/smol-machines/smolvm

GraalVM’s new WebAssembly support finally made this possible, and we now use it for local games in Manabrew. We also packaged the Forge build as @manabrew/forge-wasm (AGPL).

https://manabrew.app/blog/graalvm/

grpc-comparator proxies between an original service, and it's replacement calculating timing and any deltas in responses. You instruct it which response attributes you care about.

edge-flipt uses/abuses Istio ext_authz to inject headers derived from flipt snapshot evaluations for downstream consumption, including VirtualService route selection.

Clusters ready to deploy you applications on. It is meant for companies who want their own private infra, but do not want to maintain it. It is multi cloud, with a focus on europe.

Our secret weapon is “Menno”: an assistant which helps you setting up the cluster and deploying applications. We use the assistant for handson demo’s and workshops and got some really good feedback on it.

I use Claude Code and Codex for coding but don't want my regular chats in those apps. I prefer to keep all my chats in one place so I can go back and search easily, that is why I built Vinaa.

Nowadays I'm more curious about how I can use AI for marketing. I'm experimenting it with building an SEO agent system

[0] https://www.myunscroll.com

https://videohubapp.com/ - an application that lets you browse, search, organize, etc the videos you have on your computer, external hard drives, or network drives.

https://github.com/whyboris/Video-Hub-App

https://grovs.io

https://nittanynights.com/

https://indyafterfive.com/

I wrote my own site parsing toolkit which removed the friction I have with the current ones. It's now easy to add new locations quickly to scale.

ShotBrief answers whether tomorrow is worth going out at your shoot location, weather, sunrise and sunset, moon phase, aurora where it applies, and a go/no-go score for the whole day.

Because I like going out early for photography, but I also like sleeping in, so this just tells me if it's worth it waking up early.

All the travel apps out there are built for the instagram generation but dinosaurs like me still use TripIt for travel tracking and itinerary sharing. But its parsing hasn’t changed since Concur bought it 15 years (!) ago and I thought it would be nice to have LLMs read the cancellation minutiae for trips and put in a simple timeline for sharing.

www.aiworkdeck.com

The android app is in beta now and the iOS app is in development.

https://keelcoaching.app/

https://gitsocial.org/ https://github.com/gitsocial-org/gitsocial

Additionally, I'm building a REST API fuzzer: https://github.com/Endava/cats

Recently cleaned up my postgres proxy and built a MySQL wire proxy so that you can use psql/datagrip as a dev but every statement is still logged. With SSO and no password sharing ofc!

this year i thought itd be great to help prepare myself and other people in the job market with a tool that presented broken front end code, and then allow debugging on the browser and patch code right there, to test if it worked or not. if cant solve it, theres a nice explainer popup. my main hope is to help level up interview code chops and confidence in debugging just like we would on a real production system , at least the simpler bugs.

still working on it, here's the draft of the idea: https://bugcloud.app

Its #1 on the Frontier Harness benchmark. https://github.com/mousedev/mouse-harness/tree/main

We were using an API driven inbox service at dayjob and they nuked their free tier. Their service has so many features we don't need for our simple integration test I thought I could probably compete on price and a minimum feature set. When I found this domai available it felt too good to pass up.

Of course, it turns out that software is the easy part of launching a SaaS business. I've not had time to do anything about marketing it but I'm hoping I can push through my natural sales discomfort and make progress. Any advice on resources for getting good at sales would be welcome!

---

EDIT: and I forgot, graphid — a keyboard driven image editor, my imagined "vim for images". All the actual image manipulation is done with image magick, there is a utility to build up image magick incantations and store them as canned commands to operate on your selection.

I was curious about formats more efficient for agent communication than JSON and also proving if the framework I curated could handle the load and traffic.

It's been really fun to observe.

TUI file manager with Bitwarden/SFTP/S3 support written in go.

Runs pretty much anywhere.

Current feature in the works is built-in audio player.

As someone who still likes to purchase and organize music in files and directories, I couldn't resist the itch to code a worthy competitor to Cubic Player :)

I’ve built two (successful) iterations and am now working on the third. They are all very minimal.

The main one works well and runs full time waiting for my next idea. The second targeted an open weights model and worked in limited cases.

Now I’m working on a more autonomous version. I give it only a goal and a strategy, it decides its own projects.

I wonder if anyone reads these? If you do, if you want to complain to me about observability, please shoot me an email at hello@telemetrymachine.com!

We have worked in the observability industry for a combined 15 years and we are trying to right the wrongs we have seen in the industry. It seems like the existing companies are more interested in extracting more and more money from giant customers than actually helping people run their software well.

I won't bury the lede: what we've built is OTel native, wide events native, and works well with agents. We are also, shamelessly, cheaper than everyone else. One of the reasons observability is struggling with adoption is because it's too damn expensive.

So that's what we're building at telemetrymachine.com: an observability product focused on helping you actually track your software (starting with OTel traces and logs). We are really inspired by Observability 2.0/wide events, which really just is an invitation to stuff as many attributes, with as much cardinality as you want, into your spans/logs.

One thing we are also doing differently is trying to be as lean as efficient as possible. We are just two people now, and we are going to be very careful about hiring anyone. Most importantly, what we need to do is avoid a giant salesforce as much as possible. I wrote about this in a blog post[1] but the reason observability is so expensive is actually the giant sales force these companies tend to have.

We also put a lot of work into actual infra efficiency – ie we run on bare metal, and wrote a state of the art[2] storage engine. All of this is to help get prices down while still building a sustainable business.

We are very keen to engage with observability users, so if you do, or do NOT, use observability in your services, please reach out and we'd love to hear your problems and thoughts!

[1] https://telemetrymachine.com/blog/observability-doesnt-have-... [2] https://telemetrymachine.com/blog/the-new-state-of-the-art-i...

https://tunesage.com

I have 1k councils so far, mapping shit now so you can in 1 click petition to remove or replace the council member.

https://san-francisco.ca.us.codify.city/

Trying to have all ready for mid-terms Nov. 3

fec.dev to find ballots

Also spent a good part of last month working on a little idea I have that is built on-top of XMPP.

I've also been wanting to pickup Gleam, hopefully this would be that week I finally fight through my ADHD to do so.

I don't even know what that means.

https://raygum.com

The web spec is vast and endless, if you try to build something actually works for modern sites, it will be huge. If you want to keep it lightweight, it won't work for most sites.

Just use chrome-headless-shell or webkit. Don't reinvent the wheels.

Job board for companies hiring without Leetcode.

Big re-factoring, I have a data model now and am closing functionality gaps with Zola and the like. Also, I wanted actual documentation. No one else seems to care about that.

Check it out! I'd appreciate someone other than me banging on it.

Working out some details before dropping it opensource.

[0] https://www.zigpoll.com

Got tired of trying to learn Spanish with Duolingo.

This uses the parts of AI that can actually help one learn efficiently, namely: - generate stories that are slightly beyond your understanding (i+1) - i.e mostly words you know or are learning, and a few new words - tracks your vocab and how often you lookup définitions - auto generates a vocab review deck (using fsfr Anki style)

Think of it as a synthesis of AI bots and actor model. For now I have a self hosted version where you can run a bunch of bots talking to each other.

https://hacking.cafe

https://github.com/jcubic/hacking.cafe

They are sorted by predicted aesthetic rating and can be filtered by time of day, color, orientation, and park.

You can see how it’s going at https://joshkaspar.github.io/vistarium/

A way for for U.S. car owners to stay informed about the issues your car may experience that are communicated by car makers to dealerships.

I found those communications useful for my own car and wanted a better website that what the NHTSA provides and have been having a lot of fun building out the site.

https://devorajs-docs-docs.vercel.app https://github.com/hassanalsa3aka/devora.js

my goal is to offload phone videos (to free up device space) and persist them in self controlled storage. the convention makes this significantly more useful than a collection of object paths

https://kaflow-search.whsoul-tools.com/

To enable fast and detailed searches, I adopted a "local indexing" approach that differs from existing Kafka tools.

I recommend giving this a try if you have found operating services with Kafka inconvenient.

repo: https://github.com/unkn0wn-root/resterm

https://dmcn.dev - an email where you can be sure who it's from. And you get to decide whether to trust it.

Each week I research one part of retention, teach it, and apply it to two real-world products I built.

I’ve published five lectures so far, and think the series should be useful to anyone here building a product: https://www.youtube.com/playlist?list=PLFp5nmjrQeug

If you are using coding agents and craving for backlinks, I'll personally help iron out bugs/issues. Email me.

https://www.metanoia-research.com/essay-001-on-what-the-pano...

More intense than normal chess because more pieces stay on the board, and because the push mechanism add to the complexity.

Working on this tool to make running open-weight models on your hardware and accessing them from anywhere privately simple. Also has the option of sharing your compute with others with the built in credit system.

https://dfwfractionalfde.com

I'm building HAR Analyzer: a native macOS app for searching and inspecting HAR files locally, without uploading sensitive traffic to the cloud.

Like Network Dev Tools but with a better UX.

MIT licensed and available on GitHub

https://github.com/AltanS/collie

This simplifies the setup for researchers who want to simulate materials science problems like battery electrode performance on GPUs with a simple usage-based pricing model instead of traditional HPC

It builds a scorecard from job description and mathematically matches candidates against it on every interview step, so that you know candidate fitness at all times.

https://github.com/gfwx/weather_mcp

Check us out at https://www.runcanary.ai

and... whenever i have some spare gpt-6 astra left i am working on a R.U.S.E reimplementation alongside some other threejs experiments

Playable build: https://piinecone.itch.io/today-i-will-destroy-you

https://github.com/svyatov/oss-kit

https://rippn.app

And the other one is a AI rank monitoring for brands - https://lumirank.ai

Limit of 500 send a day.

LightOrderCode - PDFparsing lighting manufacturing spec sheets for rapid lookup and send for bids/quotations. Will update on the link in the next few months.

It's a native, resource efficient screen recorder for macOS. It supports HEVC, H.264, ProRes 422/4444, HDR, Alpha Channels and more.

https://github.com/serprex/RandomHowl

I'm building a CLI tool for Emacs Org-Mode files. It features JQ-like querying, editing files, capturing tasks, viewing agenda, an AGILE-like board and many more.

https://slitherworld.com

Still need to polish it up, but it’s been coming along. I just added a battle royale mode. Items and the backend server side needs work.

- Wanted to start blogging. So built an SSG for that.

- Have an ink tank printer that must be used a few times each month or bad things happen. Have been printing Sanskrit stories instead of test pages. Was manually building booklets with typst and then using pdfimpose. Finally, decided to write an app that does MD -> booklet.

- Decided that running harnesses directly on my machine is a bad idea. Docker/Podman are too complicated for the task at hand. So I built Adamant. It started out as a basic wrapper around Bubblewrap. Then I added networking via a socat proxy. Now it can do this:[1]

  # Runs a webserver inside the sandbox that is accessible from outside
  adamant --profile minimal prepare -- ls sh fish ncdu fastfetch uname mkdir python echo
  adamant --profile minimal probe -- python 'print("Hello, World!")'
  adamant --profile minimal run --ingress 45678:45678 -- fish -c "mkdir -p /tmp/www; echo '<p>Hello, World!</p>' >> /tmp/www/  index.html; python -m http.server -b 127.0.0.1 -d /tmp/www 45678"

  # Runs headless Firefox inside the sandbox and takes a screenshot
  adamant --profile ff prepare -- ls sh uname mkdir fish firefox
  adamant --profile ff probe --timeout 60 --host bhashika.org.in -- curl https://bhashika.org.in
  adamant --profile ff probe --timeout 60 --host bhashika.org.in -- firefox --headless --no-remote --screenshot https://bhashika.org.in
  # screenshot.png is produced in $PWD
  adamant --profile ff run --host bhashika.org.in -- firefox --headless --no-remote --screenshot https://bhashika.org.in

- Building a language learning product for Indic languages. Monetization is difficult due to the tiny market plus self-imposed restrictions like "only serious learners/readers need to pay." Only time will tell if it works out.

- My Python-replacement VM+PL project is on a bit of a hiatus. Will probably revisit it in a couple of months. Had made a lot of progress in April till I decided to expand the scope and got burnt out. Never do that.

[1] https://bhashika.org.in/logs/2026/adamant-devlog-3

Also launching pinch.now (main quest) -- which provides instant real-time interpretation for any chrome tab or online meeting.

https://pendragon.foxtrotcommunications.net/

Eylo (a take on Hello) a voice first agent platform, multi-tenant, focused on B2B2C use-cases - https://github.com/DigiCred-OSS/eylo-os

It’s a distilled fork of a closed source product that we are offering to our customers.

https://github.com/vfalbor/hibrid

https://emojistime.com

https://github.com/rumca-js/OfflineWebSearch

I noticed that it is quite a challenge to publish anything on play store

Trying to root several android tablets that so far have not been liberated.

Description on the tin.

I found it hard to get fares and timetables for the Elizabeth Line in London between X and Y quickly hence I built this as an experiment using AI tooling.

100k+ users, 150m+ questions solved, 60b seconds of smarter studying, MedGPT, MedAgent, and everything medical/dental students need in one place along with young doctors who have recently graduated

https://quiz.ninja/

Was on and off building it ever since highschool but never finding time to finish it. LLMs changed that lol.

iOS app pending in Appstore review.

I appreciate that it makes me revisit some math which i've forgotten like directional derivative and why gradient points to highest ascent.

Interesting but hard as well.

https://youtube.com/@theclockstack

4 regions analog clocks running live 24x7.

USA, Europe, India, EastAsia

Currently FullHD, upgrading to 4K if it becomes slightly popular.

If you love catching up on highlights, check https://thepelota.tv/

It’s like Netflix but for soccer highlights, with all the major leagues in one place as soon as they are available on YouTube, all free and no ads.

Please let me know if you enjoy!

https://www.duvi.ai/

Tracking newly opened restaurants, bars, hotels, shops and other places.

Currently covering 30,000 places across 1200 cities, with photos, opening dates and location data.

https://sunred.app/

It’s an AI Private Investigator that does the hard work of data gathering (using Open Source Intelligence) and correlation. Used by over 70k investigators including government agencies.

It's mostly Obsidian compatible.

I've launched it less than 2 month ago and decent amount of people are using it(2K downloads), so now I'm working a lot on making it better.

I’m spending like $25/mo at least in GHA minutes.

Then working on securing and tinkering with my homelab. And little utilities that make repeated deterministic functions easier for me and agents.

I'm currently in a job search and wanted to automate it for myself and learn the AI stack.

If anyone wants to try it out lmk!

My web app helps people registering an imported vehicle in the UK complete the DVLA’s V55/5 registration form more efficiently.

We also have an official meeting once a month to do book club matchmaking in person.

https://www.commonplace.nyc/

https://cantelop.com/

- Minimal setup - Any agent harness - A session is an actor - Opinionated infrastructure - Performance on the critical path

The way it works is you play a game of valorant, or cs2, then after the match you're able to look at the times where you missed your shot, enter our AI aim trainer, and it boots up that exact same moment, with enemies following their exact same pathing, with gunplay feeling as close to 1:1 as possible with the game you're trying to improve on.

It figures this out 2 ways:

Firstly is purely based on visual clues, I have a custom trained vision model to detect the enemies, and a great algorithm to look at a minimap to infer exactly where the user's position is.

Alternatively if the user can download the replay file, we can decode it to grab real time positions / timestamp times etc to perfectly replicate exactly what happened in the match.

Posted on reddit / x about this last week, got some positive feedback, here it is if you want to see an early prototype:

https://www.reddit.com/r/AgentAcademy/comments/1w965a9/feedb...

https://x.com/dWeaths/status/2096683901162824175

Don helps you set goals.

Don reminds you to take breaks.

Don checks in how you fell.

Don judges you when you go off track.

Don celebrates you when you get stuff done.

https://donethat.ai/solutions/productivity

https://github.com/patrickjh/ssa

- an open source AES67 hardware receiver/decoder - based on my friend Jessie's work [0]. I want speakers to have ethernet ports and to use an open/inexpensive stack. it's hard because physics/timing are brutal (1ms sync is ~not enough), but that's what makes it a great problem.

- an open source embroidery machine - based on my friend Owen's work [1]. Owen found Brother PE-150 machines which are readily available on eBay for ~$100 as they only work with proprietary 90s-era CF cards which nobody has (or sell for more than the machine). he designed a replacement motherboard (!!) and is running a fully open stack. it's wild.

- a ~$20 tiny cute display you can have on the side of your monitor, and display things on - realtime airport view from flightaware? a mini terminal? you can grab a display today [2], all that's missing is a 3d case (email me for firmware/OS code! I'll share it, just haven't had time). friends Frank and Sophie are working on a similar GUD-compatible display as well! [3]

- my friend Antoine has been working on Python bindings to Canonical's dqlite, a distributed sqlite-variant with raft-based failover and transactions (only C and Go clients existed) [4] - this will soon be a structural ("load-bearing"! haha!) part of Disco, a project we've been working on for a few years which lets you run your own PaaS. we're growing and get nice love letters [5] which for an open source project is obviously deeply rewarding

[0] https://jessie.grosen.systems/projects/aes67-receiver

[1] https://owentrueblood.com/blog/2024/12/10/reverse-engineerin...

[2] https://www.waveshare.com/rp2040-touch-lcd-1.69.htm

[3] https://bsky.app/profile/sophie.engineering/post/3muxysxhpck...

[4] https://pypi.org/project/dqlite-client/

[5] https://infinitedigits.co/disco/

https://narro.info

You add profiles from Instagram, X, TikTok, LinkedIn, Facebook, or YouTube and Narro pulls in the posts.

It was surprisingly easy to build.

It's also just a half decent basic video/audio editing suite that works on the desktop.

https://github.com/paulknysh/raggy

An alternative to GitHub for code review that focuses on making the human PR review experience easier and faster.

https://traice.market

It’s a self hosted email software.

Snippets manager. Fully local, 100% free, ~5MB binary. Open-source.

AI-assisted development. Not vibe-coded.

Desperately trying to attract new monthly sponsors and people willing to buy me the occasional pizza with my terrible HTML skills. Is it working?

If any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me.

https://brynet.ca/wallofpizza.html

(Native SegWit): bc1qwe6zv0ezq4gzlea6tw45qhsn5kckheljn0krvt

Will be live 24/7 during October. Wrapping up technical work and building out the scene currently!

Unfortunately, I'm not sure that being better is enough to compete, so I'm sitting on it for now.

The cheapest possible lovable alternative with all the features. Currently in alpha.

https://roomgenieapp.com

Thanks!

https://optimem.org

https://github.com/viggy28/streambed

https://injee.codeberg.page/

Think about GitHub, but for processes and data.

It's a personalized & data-driven typing application that targets your weak points

an adhd focused todo/kanban web app

A habit tracker that allows for more flexible goals than daily ones, such as N times per period.

https://www.recipunk.com/

source: https://github.com/dhaliwalx/fotufilm-engine

website: https://fotufilm.com

demo: https://fotufilm.com/demo

https://llms.sciencebo.uk/top

1) bad apple on my kernel (OS)

2) language model + inference engine from scratch

3) sketchdaily.net, but you give it your own pinterest board of references instead of the preselected ones they have

I created https://getnoloop.com to block the feed on iOS

https://bloom.site

It's a chrome extension that let's me extract and summarize YouTube videos without even clicking into it.

There's too much YouTube click baits that require a long watch time. This let's me get the sauce without the watch.

I like to make videos involving lots of kinetic text that is synced to audio but they always took ages to make. This was an experiment in ai assisted video editing with a strong feedback loop so the agent can self correct.

It's also my exploration into using local models and rendering to keep as much as possible on device. Over time its grown into something pretty useful so I decided over the weekend to release it generally.

https://sfw.tools

If there's a tool you'd like to see there, let me know and I'll add it.

Most of my time goes there how you guys are doing this ?

https://github.com/mcdirmid/cleanroom

So far I have bazel macros up that can produce tested code with a ~30GB MoE model (Jundot/Qwen3.6-35B-A3B-oQ6-mtp, I can get ~90 toks/sec on a M3 Max!) using cleanroom separate implementation and test development (and then comparing them until both are correct). Over the last month, however, I found that my bottleneck is in the specifications: as I further divided my components into separate parts (since smaller components are easier to write and test), I started hitting problems with specifications becoming badly ungrounded (code depending on knowledge they cannot access, so something is just hallucinated).

So I redid the format, e.g.

https://github.com/mcdirmid/cleanroom/blob/main/update_with_...

The spec format is designed to be declarative and very modular, and ya, an LLM is primarily writing the specs as well, so I hope to create some sort of formal reasoning framework that the specification can be translated into (by an LLM) so that ungroundness feedback can help the LLM write better specs. Also, I found that it really is much more robust to change/refactor/add features via the spec first and then align changes down to test and code, then to make changes to the code directly (even without using the system, just asking a frontier model to look at the guides and do the alignment itself directly).

I think I'll be ready to do a release over this next month, which means:

- Supporting a build system other than Bazel to express DAGs. Honestly, this could be anything, I just chose Bazel for convenience (easy to express graphs in Starlark), but it assumes a monorepo world that I don't think many developers use.

- How do I even package this? The advance of using Starlark is that I can generate python code to call into the generated python code directly. If I move away from that, I need to figure out what this really looks like as a binary.

- More demos. Right now my only project is the code for the system itself (the classic "the first program of a language is the compiler for the language"). I just can't think of many interesting things to do in Python that aren't agent related (I can support other languages, like Java, Typescript, or even C++, but I'm hitting choice paralysis).

effectiveutopia.org

I built this app https://tryravioli.com It has a companion called Jino that you can share your life with. It understands you, jams with you, but doesn't lecture you. It will push back when it sees you bullshit. It's a friend not an assistant.

But most important, it's a mutual friend. That is, you can talk to it together with people. That is, your partner and you can talk to Jino in one chat, and it can help the both of you be on the same page. Help you understand each other better, and resolve misunderstandings...

You can talk to it with your friends/family, and jino can help you plan a trip, with everyone's inputs and preferences accounted.

Jino can also host games for you like Trivia, 20 questions and many more...

MRR: 1.2K

Online container planner in 3d

https://academa.ai

The idea is simple: I love local multiplayer games and game nights but felt that there was always too much hassle with switching between different titles and connecting 4-8 controllers to one PC or console. Jackbox worked great but they relied too much on language and didn't work when the group had people not fluent in english.

Therefore I decided to create a site that is dedicated to action-oriented party games. So no trivia or language based games. When I first showed the idea here on HN, other forums and game fairs, I received a lot of questions from fellow game devs asking if they could bring their own game ideas to the platform as well. I started to work on third-party development tools, which are now in private beta. The first 3rd party game has already been launched on the platform!! https://gamingcouch.com/blog/protostellar-impact-launch

I'm now looking for more game devs interested in making fun party minigames, if you're interested, check out https://gamingcouch.com/developers and hit me up either here, by mail (from my profile) or by joining the community Discord and pinging me!

The TL;DR of Gaming Couch:

- Free Early Access with +20 competitive mini-games.

- Players use their phones as controllers (gamepads work too).

- Completely web-based, no downloads or installs needed.

- Every game supports up to 8 players and is action-based, with quick ~1 minute rounds to keep a good pace. No language-based trivia or asynchronous (turn based) games

The systems engineering V-model provides us with a general-purpose approach to solving difficult problems. It comes with an array of proven and trusted standards and document-oriented processes.

Given the number and detail of these documents and processes, automating some realisation of V-model is almost trivial. Tools like Codex and Claude Code are hardly less reliable and trustworthy than human engineers, and the existing standards already contain ways of mitigating the impact of imperfect work performed by error-prone agents.

The generality of this "Autonomous Systems Engineer" gives it a genuine claim to be something approaching AGI. Certainly it enables us to tackle much bigger and more challenging problems than we could with only the LLMs on their own. (Yes, it's "just another harness-of-harnesses", but that doesn't mean that what it can do isn't significant).

In addition to providing automation of high-integrity engineering practices, my project also provides a disciplined communication layer that sits on top of A2A or other similar protocols, enabling small agent-first engineering organisations to exchange well-defined highly-assured documents and accelerate b2b collaboration - enabling "swarms" of small, agile businesses to take on larger and more demanding challenges than they would be able to individually.

This was an interesting thought experiment for me, because I always loved reverse-engineering old games (Half-Life in particular) and restoring the original looks and properties of the code.

In this project I tried to use LLMs extensively to reverse the code for the first time to bring it back to its original potential look. Frankly, it worked and the code is now available to the public.

I've paired with a psychologist and HR director from one of the best universities in Germany to leverage the fact AI has embedded within every human experience, personality types, shortcomings in recorded history among all languages, and all cultures, and we are trying to extract that knowledge and leverage it so we can analyze what makes you tick (for example being an introvert or extrovert to recharge your social battery) in every aspect, motivation, procrastination etc.

Analyzing solidly your profile in a sense those standard 'form' 1-5 tests can not capture.

Once that's done, we give you recommended activities to improve your weak points (perhaps asserting yourself a bit more if you tend to shy away).

The core things we are trying to solve is:

human coaches are limited by their own worldview and bias, we hope AI who has more knowledge to other human experiences can help you more.

Anonymity, we are full GDPR compliant with audited log table if any user access your records, we hope humans feel more at ease without the fear of being judged.

Accessibility, a single mother drowning with responsibilities doesn't have time or resources to evolve spiritually, we hope the accessibility and price point of our app solves this and helps people who can't hire coaches have a more meaningful life.

Most of all I want to use my skills to improve human lives, I've been working very hard on it.

We are near a beta launch, where it will be free for beta users, if you are interested please email at: martin.sejas@exara.ai

I’m using my company’s long‑term org chart and culture to shape the Grokbot team, and building mcp (like MIS/mail/kanban/ERP) for them, so that AI employees can work fully autonomously and operate independently. I really enjoy this process and this team—it’s exactly what I’ve always envisioned. Once things run smoothly, I’d like to open source them.

Right now, ffl serves as the data plane, while https://www.mailtrigger.net/doc/ works as the control plane, and the system is running very well. I hope my company can successfully transform.

https://andurel.com

I'm playing with various "technoetic" projects, meaning applying technology to explore the nature of consciousness and the mind (noetics) in the very broad sense, in a creative & wannabe artsy & half-serious manner that tries to be open-minded to any explanation of the hard problem, so from both materialist & idealist perspectives, which includes happily treading into full-on woo territory.

You can follow along @ https://technoetica.com or follow me on X @LenceKerr

I am particularly interested in testing claims of ESP, psi, claims of magical powers through the practice of samadhi, ... This spawned for example this project: an exploration of "psi" particularly through associative remote viewing, by humans and/or AI: https://psi.wtf

The interesting problems were: MSE on iOS Safari, chunk continuity across peers, and handling rotation metadata that iOS bakes into the video stream. Also, the tracker is a separate bittorrent-tracker instance because the built-in WebTorrent trackers are unreliable for sustained swarms. Also i used a ton of graphql, so normally with a torrent you have to kind of let people find you but i used a graphql subscription to TELL people what the magnet links were called so they can fetch them asap. Lots of shortcuts like that, its been interesting!!

I hate keeping my laptop cracked open all the time, on the train, in the coffee shop... I also hate when the agent keeps interrupting my work when it needs to use the browser...

I realized, all AI coding agents must run 100% in the cloud, but the tools available today don't make it very easy to do so..

So I am building https://ravix.sh If you like it, please do join the waitlist!

I've been working on this on the side for around 5 months, initially to scratch my own itch, but recently some friends and colleagues have started using it too.

  - Lightweight Terminal UI written in Go
  - Control chat sessions via native Claude Code or Codex UI in a remote browser
  - Identify and surface questions from multiple agents at once
  - Cron jobs for automation
  - Share remote coding sessions between team members
  - Auto-repair PRs
  - Auto-rotate subscription accounts
  - Allow agents to send messages between chat sessions and across model providers
  - Register Github callbacks so agents can respond to CI events in realtime
  - Run agents on a mac mini or similar, and control them from your phone while you're on the go

There are lots of open source ticket sales options but none fit the criteria of:

- Full copyleft license - No branding requirements - Connect your own domain - Very easy to host

Chobble Tickets addresses those. Chobble, my business, is a Community Interest Company - a legal structure in the UK which obliges me to adhere to a mission statement and comes with an "asset lock" which means the things Chobble owns cannot be sold, except to another CIC. This, plus AGPLv3, means it is impossible for me to "sell out" and enshittify my products. As a former Bandcamper, I'm somewhat sensitive to this.

I'm about six months into development now, hosting about 50 sites (I charge £5 per month for hosting), with a few thousand bookings processed

https://tickets.chobble.com

It lets you build apps and features that work natively across web, desktop and mobile, streaming from your backend into your client app, letting you deploy changes instantly.

A Hypen client can be any app that includes Hypen SDK, letting you render apps inside apps, build backend-driven features or create a mini-app platform like WeChat.

The framework supports many languages, such as TS, Rust, Go, Kotlin, Swift and pretty much any language that can run WASM or interop with native.

--

To give you a taste, some things in the upcoming release changelogs are:

- Performance improvements brining the web client on par with React (even faster in some cases)

- Exposing states and actions to agents, letting agent drive the app directly instead of through UI

- First class drag/drop support with pinning as a primitive

And some recently released things:

- First class accessibility support, with out of the box inference and minimal intervention

- Animation support with simple DX for animations, scrubbing, state and screen transitions

- Video component and a whole Netflix clone Hypen app example

- UI Testing suite so you can easily preview how your app looks like across devices

Next up on the feature list will be device communication and permissions, Android TV support, theming and external component installation, letting you build shared component packs and primitives.

1. Aetheris: geometry CAD kernel, https://github.com/yuechen-li-dev/Aetheris/.

Full code CAD capability with big coverage already and some functionalities that even OpenCascade/Parasolid/ACIS doesn't have, full sheet metal module, programmable part assembly, analytical fillets/chamfers, mathematical knots, auto-route for piping, built-in finite element analysis, etc. Had Astra make an improved version of the V8 demo that was going around on LinkedIn, so it can do general hard surface modeling pretty well too, turn all the Astra demo prowess into reusable capabilities/templates. The DSL is human writable too, so give it a try if you want. https://aetheris-editable-v8.yuechenli.workers.dev/

2. Concept language: https://github.com/yuechen-li-dev/Concept

I've said before that Carbon isn't a real programming language, never mind a successor to C++, so I decided to put my money where my mouth is. The idea of it is to be more TypeScript to C++'s JavaScript and to generalize C++20 concepts from template constraints to what C++26 is doing with contracts, and bring the equivalent of Rust's borrow checker to be opt-in by default instead of opt-out, fast compile time, in a syntax that C++ users are already familiar with (`const auto` instead of `let` for example) as well as templates and comptime. Language is done-ish, not self hosted yet, still compiles to C11, kernel and allocator libraries are finished, currently working on the scheduler right now.

3. Copeland TS, https://github.com/yuechen-li-dev/copeland

TypeScript for .NET without all the weirdness of Javascript, with full Nuget and NPM inter-op, Rust style exhaustive `match`, templates, etc. It's actually weird how much cleaned up TypeScript ended up looking like cleaned up C++. Compiles to JS, C#, WASM via Blazor WebAssembly, and SPIR-V via HLSL/DXC, and runs on V8 for JS and RyuJIT/NativeAOT for C#. The conclusion is that RyuJIT ended up being ~2x faster than V8 JS in hot loops but the cold startup time is higher, so replacing JS for UI really isn't worth it. Comes with full UI layout system, Vulkan renderer, and game/app runtime, but those are still pretty rough.

*walletwallet.dev

Background is that my friend group plays video games, grabs beer or whatever - and a lot of the communication revolves around logistics. This app lowered the threshold for initiating. We create a group per activity, and "going green" means you're ready. The other group members get a push notification "Paul is greenlit!" and the title of the group is "Play Dota 2" or "Beer at local pub". Super simple concept, but it actually works.

TLDR; I made an app that let's you press a button instead of writing the typical "Does anyone want to join x activity?"

https://apps.apple.com/no/app/greenlight-squads/id6757295236

The basic idea is that ticket (or chat) based workflows loose tons of context over time. During periods of rapid iteration, even the tickets themselves can’t always keep up with changes in the requirements. Goalpost projects are lightly structured documents. Due to that structure, it can easily give you a view of what changed in any particular update, or you can search or browse the overall up to date spec if you are just looking to get context on something.

There are some nice quality of life features. Changes live in batches which can (optionally) be subjected to customizable approval rules. Email notifications to stakeholders when requirements change. The ability to move changes to different batches, pre-approval.

Still WIP, but I’d love any feedback!

https://swarmmemo.com

TLDR power user work out tracker, all PRs, metrics, fast keypad input or codemirror syntax input if you're lazy type that jots in notepad. Generate any exercise based on movement + modifer system. Mountan of metrics (your basic lifitng stuff), rolling averages etc. Fractional set tracking, bodypart volume... too much to list. Build and import programs using syntax.

Lazy overview while I work on docs.

https://imgur.com/a/when-you-cant-pr-platemath-rPNmxKg

Looking for users to stress test at some point, but feel free to play around.

Open source, free, no login, nothing to sell. I'm not trying to build a business on this. I just want agents to write better code, and that only happens when they have something firmer than a chat prompt to work against. CLI is here: https://github.com/girishr/SpecPilot

It started as a TypeScript CLI in January. Enough people told me they either didn't want a CLI or didn't know how to use one that I rebuilt the front door as a guided chat: 27 questions, runs fully offline in the browser, outputs the .specs/ tree plus an onboarding prompt for your IDE.

Recently shipped an MCP server so the agent can run the questionnaire itself rather than the human doing it, published to the official MCP registry and Smithery. Next is brownfield: point it at an existing repo and backfill specs from the code. Honest state of things: the Product Hunt launch got 4 votes and around 100 visitors, and I had no event tracking wired up, so I couldn't even tell how many of those generated anything. Fixed since. Usage is small but real, and it's coming through MCP rather than the web app, which I did not expect.

The part I keep circling back to is that spec generation is easy to copy. Spec enforcement is where the value is: checking a diff against the spec and failing loudly. Feedback welcome, especially from anyone who tried SDD on an existing codebase and gave up.

“Math Can Be A Hobby”, lecture series based on Serge Lang’s Basic Mathematics. Unexpected breakout success, 350k+ views on 1st video and rising. https://youtube.com/@MathCanBeAHobby

“jcpractices math”, a livestream where I share my daily-ish study sessions, thinking out loud with iPad on screen. Emphasis on algebra and number theory. https://youtube.com/@jcpracticesmath

Twent = Android AI Agent that uses your phone, connects to stuff, installs skills & MCP on-demand, remembers things, and is highly proactive.

If lisp is a list processing language, grasp is a graph programming language.

The idea was that most other data structures can be represented with a graph ( adjacency matrices are matrices, a tree is a type of directed acyclic graph, a list is a graph where each node connects to at most two nodes, etc) and so if you designed a programming language where the language is itself a graph, much like how lisp is itself a list, you could get other esoteric programming languages like APL, forth, lisp, and so on as DSLs of Grasp. Also any program you write would be its own CFG.

I started it but honestly its mostly a hot mess of vibe-coded garbage. But I may get back on it and try to clean it up.

And then ... well, we'll see. I'm also reading a lot of books and stuff on neuroscience, neuromorphic computing[3], analog computing, etc. I don't have some "grand unified theory" or anything, just playing around in this space.

There's a lot more I could say about this, but I'll save that for a blog post or something. That said, if anybody wants to see some pictures and read some write-ups of some of this stuff, add me on LinkedIn[4] and you'll see some of that stuff in my activity there.

EDIT:

What the heck, here's a picture for anybody who's interested.

https://fogbeam.com/images/scope_20260913_202613.png

The magenta trace is the "spike train" which is output from a Rigol DG4162 Function Generator. The yellow trace is the voltage at the anode of the PUT, which simulates the "action potential" of the neuron membrane. And the cyan trace is the cathode of the PUT, which simulates the output of the neuron. What we see here are several input pulses hitting, with each bumping the action potential up a little, until it finally hits a threshold and then "fires" and resets. Lather rinse repeat.

[1]: https://en.wikipedia.org/wiki/Programmable_unijunction_trans...

[2]: https://neuronaldynamics.epfl.ch/online/Ch1.S3.html

[3]: https://en.wikipedia.org/wiki/Neuromorphic_computing

[4]: https://www.linkedin.com/in/philliprhodes/

Its basically a tool I made to make my own own business research easier, then decided to formalize it after a friend showed interest. What is it? its a way to evaluate a business idea from multiple angles and perspectives - similar to what a VC would do, only via a simple wizard that asks you to score the business from different angles. The next version will let one or more AIs answer the wizard so you can compare your evaluation with theirs.

Two scores come out the other end, kept deliberately separate — how good the opportunity actually is, and how good a fit it is for you specifically.

https://ventureranker.com

https://octri.dev

You give it an OpenAPI, Postman, or AsyncAPI spec, and it generates and manages:

- Editable API docs with an API playground, RAG-based chat, custom components, and other interactive features.

- Idiomatic SDKs in 10 languages. We’ve been building these alongside developers experienced in each language rather than relying on a single generic codegen template.

The part we’ve spent a lot of time on is customization. There’s a visual editor with a real-time code preview where you can change things like: - client initialization patterns - positional args vs DTOs vs kwargs - HTTP client/library - tree-shakability - method structure and naming - and quite a bit more

The goal is for generated SDKs to feel like something you would have written by hand rather than obviously generated code.

- API + SDK monitoring that maps telemetry back to your API spec. It can identify slow SDK methods and API paths, track uptime/status announcements, capture errors and stack traces, etc. We’ve also built PII filtering into the telemetry pipeline with GDPR considerations in mind.

- Spec Audit, which we’re planning to open source. It scores an OpenAPI spec, explains problems it finds, and can automatically fix a number of them.

A big reason we started working on this is that API tooling in this space often feels optimized for enterprise buyers rather than the developers actually using it. We also kept running into rough UX around editing docs, customizing generated SDKs, and specs failing on first import because of small incompatibilities.

We want Octri to have a much lower barrier to entry: affordable enough for smaller teams, highly customizable, and able to improve/fix inputs rather than just failing when a spec isn’t perfect.

We’re still in beta and looking for a few design partners who have real APIs/SDKs they’d be willing to run through it. In return, we’d offer favorable long-term pricing for early adopters.

I’d also genuinely appreciate feedback from people here who maintain public APIs or SDKs: what part of your API tooling workflow is currently the most painful?

78.2% on SWE-bench verified for < 10 cents a fix + benchmarked against Claude Code, Open Code, and Deepseek Harness. Benzi is far cheaper AND faster. sounds like marketing fluff but just check it out please.

github landing page: https://github.com/oooscoos/Benzi

Instant callflow/dataflow/controlflow lookups on any codebase for any AI model - you can see how huge this can be rite?

I would have never started this game without agentic coding, but now, I cannot stop working. It's amazing. So this is how some of you have felt all your life about tech or other subjects? I'd always believed it, but now, I experience the difference first hand. Before, discipline is what I needed to start working. Now, discipline is what I need to stop.

This solves exactly n=1 user's issues: I tend to fall off the workout wagon without public accountability and when I dont get scores to improve on and especially to degrade and dillute my gym trips to the point of ennui.

It's free and public until it breaks:

https://aft.jodavaho.io

My progress

https://aft.jodavaho.io/track/46B8XWPCVK5MVS35R8X53Y8KY5

(heavily helpd by AI on the frontend - I am terrible at it)

... and used Claude to crank the software up to 11. Network management console, RESTful API, added hands hands to the pupils so it serves as a clock, NTP, added sleep mode at night, added different eyes, OTA firmware updates, and more: https://github.com/michael-gebis/creeper-eyes

It's ridiculous and I love it.

I'm working on Mergi. The demand for reviewing PRs sky-rocket in the past months, and I got really tired of Github slowness so I created my own "native" fast and painless UI where everything is pre-loaded.

Also added a bunch of cool features like a Review Queue to keep track of everything (there are weeks I had to review 12 PRs) and some cool AI features.

I was curious if AI agents could go beyond just making SVGs and create entire skits with them.

So I built a platform to do that. Results were meh until Astra, so I finally open sourced it last weekend.

TL;DR: magnets.

https://cards4play.com

...and I am working on adding Euchre and hopefully (eventually) Bridge, after I learn how to play myself.

While you might think "yey another coding agent" i went down some very different paths than other open source coding agents do right now. Ill not bore you with a ton of detailed breakdowns and rather list the main points that are relevant to understand why/how i build it.

Premise:

-The agent is meant to run against selfhosted environments first like Ollama etc with a focus on non cloud sized models, it should work properly on something like a 27b model already

-The agent with full intention trades execution time vs reasoning and result quality

So what does it do different:

1. The agent, instead of trying to let the model solve a whole task in 3-5 inferences, rather breaks down the "thinking process" in smaller chunks, basically decomposing the task into smaller tasks. While this is not a completely new concept, the agent will break it down to really simple single step variants which even for a smaller model can properly be solved. This involves not just file editings but all points along the way from interpreting user message to planing a task to defining acceptance criteria etc.

2. The agent is build in a way that it, apart from some fixed steps such as detect user intent at the beginning and synthesize response at the end, it will by itself decide what is the next proper step to execute/do based on the context i provide. While doing so the agent also revalidates its current execution and if it spots that, given the information i collected since it planned and started running, the current plan is not detailed enough or is missing out due to something he didnt "know" when he was planing, the agent will dynamicly mutate the coming plan stats, as in restructure/decompose/etc in order to have a properly layed out route to fulfill the task.

3. The agent has a rather complex system of how his context is composed which is combined by things like the chat history, previous step results, a backlog of what "single steps" it has done (updated file x , read range from file y etc) and in that it is strongly reason driven, so it will for most of the things it does also provide a small reason explaination for why it did that. Than the agent also has a working memory that contains facts and decisions it made along execution. There is more but thats just some thingsd to mention. The whole memory system and context is rather complex (tho not complicated). When i release it ill properly break down how all this works in the docs.

4. The agent provides full observability in the ui. At every point of execution you can basically in detail see whats in memory, whats the current composed context, whats the plan and what plan steps depend on what previous steps, you can look at artefacts it build and also you have basically a complete audit log of all single "actions" it has executed and can look into their details.

5. The agent allows to while in an execution send steering messages, meaning the message will be, using relevant current contextual information about its execution, send as inference with a prompt askind the agent to interpret on if its relevant, and how does it impact the current execution/plan. It than can decide either just do alter what it currently does, or even do a plan mutation in order to accomodate the users steering information.

6. The agent within its capabilities has a lot of error correction/self reflection logic. From dynamicly fixing json including a fallback to let LLM fix a response json, upon to if executions fail to much it will itself do a hypothesis on why this is happening, formulate a critique and with that reevaluate if it wants to try the steps again with the additional information, or if it wants to mutate the plan to accomodate the just spotted problems.

Theres quite some more i could list but i guess thats enaugh for now. The big trade off as mentioned earlier is execution time. In comparsion to cloud native agents, which will do giant editings and reasonings in just a hand full of inferences, my agent uses a ton of inferences. The big difference is that this allows (a) the agent to more precisly focus on specific tasks rather than overloading it with to much at once and (b) alot better spot problems/mistakes itself and adjust its execution plan to accomodate those without the user having to reprompt the agent 10 times until something is actually correctly solved.

Apart from the pure coding capability, the very same actions that allow for higher quality reasoning and coding at the same time allow the agent also be a good analysis and discussion partner.

So : what is it than used for if inferences and executions can take very long? Well for me its in terms of coding capabilities a hands off agent. Its meant to be informed once at the beginning with relevant details, and than should be fully capable (as long its in the capabilities for sure) to fulfill the task without the user having to permanently keep an eye open. I want to free time for myself and not change my time from coding to prompting.

Ill wrap it up here and say : the Agents name is "Loa" and i probably will post it on hackernews as soon i got a relatively stable beta to release. Im close to being fine with a beta release but i want to test some more runs before i publish.

Been optimising an ssh ansi rendering engine for six months, starting to look great. Homepage is slop please forgive

A social media platform trying to solve misinformation, astroturfing and inauthentic posting. I also thought there was a real space for some non-US-based social media, so this is based in Australia. This is owing to all the political instability going on in the US right now and especially stuff like users' identities being subpoenaed for criticising the government. It was a pet peeve of mine seeing threads of comments that are obviously artificially created to push some kind of narrative, and the ability to buy likes and upvotes to shape opinion. Nothing ever seems to get done about it on big platforms, so I wanted to make some small contribution towards fixing it. And there's an element of self-interest here, because I want to be able to read a platform where every comment is authentic.

I've been working on it since 2023 and launched in March this year. Recently, native mobile apps have been launched. It was also an experiment in seeing whether Swift Vapor can be used to build a complex backend and the answer appears to be yes. It's a lot of fun to see how bad actors are joining the site, then building automated mechanisms to counter them, using AI to improve detection, without impacting legitimate users. It's also been a great technical challenge to try to support features that the big players support, like video upload and encoding, image upload, CSAM detection, NSFW detection, LLM-generated text detection and auto-translation using DeepL.

There are also lots of legal compliance challenges now with age verification laws coming in around the world, and ensuring you employ all the correct Apple and Google-specific verification (Declared Age Range, Play Age Signals) in the correct global regions. It's also fascinating to see behind the scenes how tight or not so tight current age verification actually is.

Recently, I've been polishing the iOS version to try to hit the 120 Hz target frame rate while scrolling feeds and finding SwiftUI is much less capable at this than the old UIKit approach. I'm also trying to teach myself marketing and how to keep users engaged. I'm primarily code-oriented and historically haven't had to do any marketing myself, and this is a vertical learning curve. I have gained a great deal of respect for those who have 'figured out' marketing, seeing how difficult it is starting from nothing.

It's also satisfying to take a feature from a user suggestion in the morning to an app release including that feature in the evening. This is a speed of delivery that would be unthinkable in the corporate world, where I previously worked, and it's very gratifying to put a complete feature in a user's hands within 24 hours.

Anyway, it's a very long and tough road and may amount to nothing in the end. But if nothing else, it's been immensely educational and enjoyable. Thanks for reading and feel free to check it out:

https://play.google.com/store/apps/details?id=com.topicle.ap...

https://apps.apple.com/app/id6791489291

I shipped it in 2023, then neglected it for a few years. I’m getting back into it now, fixing things as I find them and adding small features suggested by PICO-8 users.

The original idea was simple: copy a sprite from PICO-8 on the Mac, paste it on your phone, tweak a few pixels, and paste it back. It uses PICO-8’s native clipboard format. It’s a one time $2.99 purchase, with no account or subscription, and works offline.

I’m now considering:

A) Frame by frame animation using sprite sheet regions B) Opening .p8 carts directly and editing sprites in place

For PICO-8 users, which would you actually use?

https://apps.apple.com/us/app/pixel-edit-lite/id1665723146

The stack spans a lightweight PHP framework, application kernel, Preact UI layer, generic business modules, deployment/provisioning and IaC. The rule has always been: solve recurring problems once, move them to the lowest sensible reusable layer, and let every app inherit the result.

PentaPaper is the main commercial product on top. The interesting part now is that new apps increasingly need mostly domain logic + UX, while AI coding works exceptionally well because agents operate inside fixed conventions instead of inventing architecture from scratch.

I'm now figuring out whether this can become a real software foundry/platform business rather than just a very elaborate internal stack.