40k HN comments mentioning books, extracted using deep learning

In plain words

This project extracted and organized approximately 40,000 book mentions from Hacker News comments using deep learning techniques. It serves readers interested in discovering what software developers and tech enthusiasts recommend. The dataset provides a direct look at books frequently discussed within the Hacker News community, making it useful for finding technical reads, science fiction, and other titles popular among programmers and tech-focused individuals.

written from the facts on this page · September 2026

From the sources

[0] - https://www.amazon.com/Thinking-Fast-Slow-Daniel-Kahneman/dp... https://www.cia.gov/library/center-for-the-study-of-intellig... [1]: https://www.amazon.com/gp/product/0374533555/ref=as_li_tl?ie... Read " Thinking Fast and Slow " (which, to their credit, they do list as a resource) and skip the rest of their grant seeking. Favorite books for practical psychology - Thinking Fast and Slow , How to win friends and influence people. Zen and the Art of Motorcycle Maintenance - Robert M. Pirsig I also liked Jonah Lehrer's Imagine, a book about creativity. It's a cognitive bias. I'm pretty sure I came across such example in Kahneman's " Thinking, Fast and Slow ". Book recommendation: Thinking…from hacker-recommended-books.vercel.app

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  Accessible end-to-end deep dive of crawling, embedding, projecting, and semantic searching all of Hacker News for my Hackerverse project.

• TB
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  I mapped HN's favorite books with GPT-4o2024 · hnbooks.pieterma.es · ▲285

  Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…

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  HNLibrary2017 · ▲83

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• MB
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• SC
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