What is HN thinking? Real-time sentiment and concept analysis
Details
- External ID
- 46993774
- Source
- HN
- Company
- —
- Product
- What is HN thinking? Real-time sentiment and concept analysis
- Website domain
- devrupt.io
- Launched
- Feb. 12, 2026
- Cohort
- —
- Upvotes
- 37
- Upvotes percentile
- 0.7715633423180593
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:25 p.m.
- Updated at
- Sept. 7, 2026, 9:25 p.m.
Description
Hi HN,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.ioThis 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/ethosI'm looking for feedback on which metrics (sentiment vs. concepts) you find most interesting! PRs welcome!
Enrichment
- Theme
- lightweight and on-device AI runtimes
- Vertical
- Media & entertainment
- Function
- Analytics & BI
- Audience
- B2B
- AI stance
- AI feature
- Project type
- Commercial product
- Normalized one-liner
- real-time sentiment analysis
- Manually corrected
- False
Could you build this?
Yes Fetching public Hacker News API data, processing text through an LLM or embedding model, and displaying cluster charts via a static web app can be built quickly with vibe coding.
Discussion
20 comments analyzed.
Concerns raised: Sentiment analysis is unsophisticated and sloppy, Entity tracking produces inaccurate sentiment results, Limited context window eating prompts and increasing costs, Information not properly sent to prompt for comment hierarchy, Green colors in sentiment visualization not distinct enough
Feature requests: Expand historical data back to 2007, Improve prompt engineering for sentiment analysis, Better concept naming and disambiguation guidance in JSON schema, More sophisticated multi-level comment hierarchy processing, Improve entity tracking accuracy for better sentiment attribution
Competitors
Other products that read as similar to this one — 77 launches clear the similarity bar, closest 8 shown.
Attention rank: #25 of 78 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 106 days after the earliest competitor.
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- HN Companion · hn · 2026-02-10 · 31 upvotes · similarity 0.45
- Selbstbild · hn · 2026-07-05 · 6 upvotes · similarity 0.44
- HN.watch · hn · 2026-09-28 · 212 upvotes · similarity 0.43
- I built a tool that helps predict HN front page success · hn · 2026-05-03 · 26 upvotes · similarity 0.42
- Turning 100-plus comments HN threads into readable discussions · hn · 2026-01-02 · 20 upvotes · similarity 0.41
- FOMOmeter · hn · 2026-01-22 · 7 upvotes · similarity 0.40
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a analytics & bi tool for Legal yet.