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AI · July 29, 2024

Ask Hackers

Get answers from the world's top hackers

Ask Hackers launched on July 29, 2024 with 3 votes.

What it does

The comments section of Hacker News has a lot of valuable content, so I made a search tool that searches for relevant information from the Hacker News comments section and summarizes the answers with AI.

Does a similar job

all alternatives →
  • HN
    Hacker News Comments2012 · hncomments.nathancahill.com · ▲189
  • I made Google Trends for Hacker News by indexing 18 years of commentsJun 2026 · hackernewstrends.com · ▲822

    Search 18 years of Hacker News and chart how any topic, tool, or person trended. Overlay terms to compare their rise and fall across 45M posts and comments.

  • TB
    Top books mentioned in comments on Hacker News2016 · hackernewsbooks.com · ▲463
  • Hacker 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…

  • TH
    This Hacker News Does Not Exist2022 · coxomb.github.io · ▲252
  • SH
    Search HN for interesting comment sections2024 · searchhacker.news · ▲60

    I built this tool to help me find interesting discussions on Hacker News. I love reading HN discussions almost more than the articles themselves. However, I found that full text search, although highly performant, is not always good at surfacing interesting discussions on a certain topic -- especially if you don't know what to search for exactly. I built this by scraping the most recent ~6 million posts (that's about 2 years of history) and putting the resulting posts and their vector embeddings into Postgres. Let me know what could be improved, and if you'd like a more detailed writeup of…

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