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example.com37 points · 23 comments · 7 months ago · ddtaylor
I made Ethos, an open-source tool to visualize the discourse on Hacker News. It extracts entities, tracks sentiment, and groups discussions by concept.
Check it out: https://ethos.devrupt.io
This was a "budget build" experiment. I managed to ship it for under $1 in infra costs. Originally I was using `qwen3-8b` for the LLM and `qwen3-embedding-8b` for the embedding, but I ran into some capacity issues with that model and decided to use `llama-3.1-8b-instruct` to stay within a similar budget while having higher throughput.
What LLM or embedding would you have used within the same price range? It would need to be a model that supports structured output.
How bad do you think it is that `llama-3.1` is being used and then a higher dimension embedding? I originally wanted to keep the LLM and embedding within the same family, but I'm not sure if there is munch point in that.
Repo: https://github.com/devrupt-io/ethos
I'm looking for feedback on which metrics (sentiment vs. concepts) you find most interesting! PRs welcome!
kretaceous
sdwr
I think the budget is noticeable in the sentiment analysis unfortunately, the tags and entity recognition are good but the sentiment ratings themselves seem pretty sloppy.
esseph
Congrats, I guess.
tangotaylor
Lapsa
sixtyj
If I could suggest, please make green colors more distinct in sentiment split wheel, they seem to be very similar now.
vivzkestrel
[deleted]
claudegamedev
Side note: this is cool, but the sentiment analysis could be a bit more sophisticated in v2.
dk8996
There is a bug in the entity tracking. For the entity "github", it shows a positive sentiment. HN does NOT like GitHub (for reasons good or bad). If you click on it, it shows you stories about other seemingly unrelated stories.
https://ethos.devrupt.io/entities/github