New: HackerBooks Turns Hacker News Comments Into a Browsable Book Catalogue

Finding good books on Hacker News is usually a scavenger hunt. You scroll through hundreds of comments hoping someone drops a decent recommendation, and most of the time you give up before finding anything worth reading. That is exactly the gap HackerBooks closes, and it is why this Hacker News books tool caught our attention this week. We tested it for about fifteen minutes and want to show you what changed, who it helps, and the catch before you dive in.

1. What's new

HackerBooks is a brand-new site that pulls every book mentioned at least twice in Hacker News comments since 2007. According to the Show HN post, the creator wrote: "It's ~16.5k books that at least two different HN commenters brought up, from 2007 till now." Each entry links back to the actual threads, so you can read why people recommended, or trashed, a title.

The site was built almost entirely by Claude, the AI model from Anthropic, with the human founder steering decisions and buying the domain. That is worth noting if you are curious how far a coding assistant like Claude can go on a real side project, from data pipeline to front end.

2. Who it helps

If you are a developer looking for your next technical or philosophical read, HackerBooks turns scattered forum chatter into one browsable catalogue. It also helps engineering managers building team reading lists, because you can sort by "Most recommended" instead of guessing which book actually lands well.

Writers and researchers covering tech culture will find it handy too, since every book links straight to the original discussion context. So instead of quoting a book cold, you can see exactly what sparked the conversation.

3. How to try HackerBooks in 15 minutes

Start at hackerbooks.org and search for an author or title you already know, just to see how the matching works. Next, switch to the "Rising" or "Most recommended" tabs to spot books gaining traction right now.

Use the keyboard shortcuts to move faster: j and k to go through the list, Enter to open a focused book, and g then h to jump back home. Finally, click into a book to see the HN threads that mentioned it, and check the about page for the downloadable dataset if you want to dig into the raw data yourself.

Fifteen minutes is plenty to get a feel for the catalogue and walk away with at least one new book worth adding to your list.

4. The catch

First, HackerBooks needs JavaScript to work at all. The site itself states: "Hacker Books needs JavaScript to browse the catalogue." So if you run a locked-down browser setup, you will hit a blank page instead of a book list.

Second, the matching is based on mention counts, not sentiment. That means a book people trashed repeatedly can rank just as high as one people love, because the tool counts mentions rather than judging opinions. Finally, some long-tail or out-of-print titles are still missing, because the underlying matcher needs more tuning for those edge cases, as the creator acknowledged directly in the comments.

5. How it shows up in AI as a Game now

HackerBooks was found by our weekly radar scan and added straight to the What's New feed and the changelog. It is not yet a fixed stepstone on any class path inside the game. We are watching how useful it proves in practice before deciding whether it earns a permanent spot in a learning track.

6. Part of a bigger pattern

HackerBooks is not the only "HackerTube, but for X" project showing up lately. The same cycle of Show HN posts included a similar idea applied to Wikipedia articles mentioned on HN, built the same way: take a niche corpus, have an AI model build the scraper and front end, ship it fast. That pattern is becoming a template worth watching if you like building small tools yourself, and it pairs well with research tools like Perplexity or NotebookLM once you've found a book worth digging into further.

7. What we would want next

Commenters on the Show HN thread already asked for a fiction-only filter, since HN leans heavily toward nonfiction and the fiction picks get buried in the noise. Others pointed out missing titles that needed manual fixes, like Why's (Poignant) Guide to Ruby, which was not in Open Library and had to be added by hand.

Better metadata handling would also help long term. The creator mentioned the mess around ISBNs and ASINs as a real obstacle, since there is no single open metadata source that covers everything cleanly. That is a problem bigger than one side project, but it is worth knowing before you treat the catalogue as complete.

Bottom line

HackerBooks is a small but genuinely useful Hacker News books tool: free to browse, built fast with AI help, and already full of discoverable reading ideas. The catch is mention-counting instead of sentiment, missing long-tail titles, and a hard JavaScript requirement. That said, fifteen minutes is enough to find your next read, so it is worth a quick look if you already spend time on Hacker News.