Hacker Recommended Books

Hacker Recommended Books lists books mentioned by Hacker News users, with categories and comment counts.

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Hacker Recommended Books homepage screenshot

About Hacker Recommended Books

Hacker Recommended Books collects books mentioned by Hacker News users and groups them by category, showing how many Hacker News comments each title received. Entries list the author, an Amazon rating and a comment count, and the underlying Hacker News comments appear below the ranked list. A toggle switches between all-time rankings and the past six months. The site states that 40,000 Hacker News book recommendations were identified using NLP and deep learning.

Key features

  • Ranks books by number of Hacker News comments
  • Category filter with an all-categories default view
  • Toggle between all-time and past six months
  • Shows author and Amazon rating per title
  • Displays the source Hacker News comments below the list
Best for: Readers who want to see which books Hacker News commenters discuss most, ordered by comment volume.
Good for
  • Comment counts give a concrete measure of how much each book was discussed
  • All-time and six-month views cover both long-run and recent mentions
  • Individual Hacker News comments are shown alongside the ranked entries
Watch out for
  • Amazon ratings come from an external service rather than being produced by the site
  • Rankings reflect Hacker News discussion activity, not an editorial review process

Hacker Recommended Books at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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Hacker Recommended Books FAQ

How are the books ordered?
Books are listed with the number of Hacker News comments each one received, and the page shows that count next to every title.
Can I limit the list to recent recommendations?
Yes. An All Time / Past 6 Months toggle is available on the list.
Where do the recommendations and ratings come from?
The site says the 40,000 recommendations were identified from Hacker News using NLP and deep learning; the ratings shown are Amazon ratings.
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