Hacker Search leverages Hacker News' comments and submissions to answer your questions. It is particularly useful when you're interested in understanding HN readers' sentiment about a topic, or when looking for expert insights on technical topics.

Hi Product Hunt! I'm Jonathan and I built Hacker Search (https://hackersearch.net), an LLM-powered version of Hacker News' Ask HN. Unlike Ask HN, Hacker Search doesn't solicit new contributions from HN readers. Instead, it leverages Hacker News' historical data to answer questions, and offers LLM-generated summaries of those. I've used it for questions like "Should I use Drizzle or Prisma?" or "What is a good screen capture that allows easy zooming effects on Mac?". It is particularly useful when you're interested in understanding HN readers' sentiment about a topic, or when looking for expert insights on topics of interest to HN readers. I've been using it continually while building it, and have found it particularly useful to find software libraries recommended by HN or get quick vibe checks on hot topics. Please try it out and let me know what you think of it! I have to limit the number of LLM summaries each person can get for free, as this is entirely self-funded. If you hit the limit, you can subscribe for more summaries generated by a better model ($8/month), or bring your own compute by running inference on Ollama on your machine!

Hacker Search is a clever tool that leverages the wealth of knowledge on Hacker News to provide valuable insights. It's particularly useful for understanding the sentiment and expertise of the HN community on various topics. 👍

As a product manager, I'm always on the lookout for tools that save time and provide quality insights. Hacker Search has been my go-to for quick sentiment analysis on product features. It's like having a focus group at my fingertips, especially when I'm gauging interest for our latest SaaS offering. Plus, the UI is so clean and intuitive, I find myself navigating it with ease.

Hacker Search

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