What is HN thinking? Real-time sentiment and concept analysis
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.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…
What is HN thinking? Real-time sentiment and concept analysis launched on February 12, 2026 with 37 votes, #628 of 16,627 launches that month and more than 95% of that year's launches.
In plain words
Ethos is an open-source tool that analyzes real-time discourse on Hacker News by extracting entities, tracking sentiment, and grouping discussions by concept. It is designed for anyone interested in understanding trends and sentiment in Hacker News conversations. The tool stands out for being built as a budget experiment, operating at under $1 in infrastructure costs using open-source language models like Llama 3.1 for processing and analysis.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
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.io This was a "budget build" experiment. I managed to ship it for under $1 in infra costs. Originally I was using…
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We (Nick, Dens, Denzell, Fede, Drew, Aaryan, and Daniel) have been building HN Discovery, a discovery-focused search engine for Hacker News, in our spare time for the past 6 months and are excited to show it! It adds the following features relative to the existing keyword search interface and preserves the existing ones: - no-JS version (hnnojs.trieve.ai) - site:{required_site} and site:{negated-site} filters - public analytics - LLM generated query suggestions based on random stories - recommendations - dense vector semantic search - SPLADE fulltext search - RAG AI chat - order by…
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