40M embeddings to find who knows what on HN
In plain words
This tool uses 40 million embeddings to help users search and discover expertise across Hacker News, allowing them to find people based on their knowledge and contributions. It's designed for anyone looking to identify knowledgeable individuals within the Hacker News community on specific topics. The standout feature is its use of semantic embeddings to match people with their areas of expertise rather than relying on simple keyword matching.
written from the facts on this page · September 2026
Does the same job
all alternatives →- SCSemantic clusters and embeddings for 500k Hacker News comments2024 · app.airtrain.ai · ▲114
- EHExploring HN by mapping and analyzing 40M posts and comments for fun2024 · blog.wilsonl.in · ▲520
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- HSHacker Search – A semantic search engine for Hacker News2024 · hackersearch.net · ▲233
Hi HN! I'm Jonathan and I built Hacker Search (https://hackersearch.net), a semantic search engine for Hacker News. Type a keyword or a description of what you're interested in, and you'll get top links from HN surfaced to you along with brief summaries. Unlike HN's otherwise very valuable search feature, Hacker Search doesn't require you to get your keywords exactly right. That's achieved by leveraging OpenAI's latest embedding models alongside more traditional indexes extracted from the scraped and cleaned up contents of the links. I think there are many more interesting things…
- ADA discovery-focused search engine for Hacker News2024 · hn.trieve.ai · ▲193
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…
- ATAnalyzing top HN posts with language models2022 · ▲117
Hi HN, I spent a few weeks looking at the top HN posts of all time. This included exploration, clustering, creating visualizations, and zooming in on what (to me personally) seems like some of the best discussions on here. Three things in this post: 1- The interesting groups of HN posts 2- The interactive visualizations that you can explore in your browser 3- The data from this exploration -- this includes CSV of the titles as well as the text embeddings of 3,000 Ask HN articles. Blog post about this whole process here: [1] ============ 1- The interesting groups of HN posts From the…
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