Affiliate marketing is such a mixed bag. I absolutely love it when people can monetize their writing by adding some affiliate links that are relevant to the audience - win/win for all sides. Yet it is as slimy as anything else when the sole purpose of creating content is to publish affiliate links.

Great books listed here! Added some to my TBR list. Thanks! I'm a little surprised the numbers aren't higher across the board.

The fact that Mein Kampf was mentioned so often in 2025 is saying something about the political climate lol..

Nice website though, I like it.

   graemep
  on 4/15/2025
   
  Mein Kampf IS a rant.
  I recommend people read it so you can understand how people like that think.

Neat. I'm seeing a lot of overlap with books mentioned on r/reddit. I didn't realize, until know, how demographically similar hacker news and reddit are.

The top 3 programming books mentioned this year were

1. Structure and Interpretation of Computer Programs 2. Clean Code 3. Crafting Interpreters

Also, it’s quite fascinating how often fiction books were recommended! I wouldn’t’ve expected that on HN.

Have you seen https://hackernewsbooks.com ?

The recent novel Abundance seems to be agressibley grouped with the John Green novel An Abundance of Katherines - which I think is a humorous retelling of 2025 but also maybe needs some matching work

Hitchhikers guide to the universe having 42 mentions is a cosmic level coincidence

great project! how did you do tokenization and alignment of the titles to their ISBN / Amazon ID

Would love to learn more about how this is built. I remember a similar project from 4 years ago[0] that used a classic BERT model for NER on HN comments.

I assume this one uses a few-shot LLM approach instead, which is slower and more expensive at inference, but so much faster to build since there's no tedious labeling needed.

[0] https://news.ycombinator.com/item?id=28596207

The Book of Dragons by Edith Nesbit is listed instead of "the Dragon book"

The 6 first books reflect the quality comments I often see here on HN.

The Holy Bible mentioned.

No offense intended towards anyone, but it usually strikes me how basic/surface level literature references are here. For a crowd pretty much defined by intellectual curiosity, it's mostly highschool reads, very mainstream scifi/fantasy and corporate self help.

I wonder if it's an american thing, for engineers to be detached of liberal arts? The vibe tends to be quite different in local engineering groups.

Embarrassing to see 0 works by Max Stirner in this work. HN is truly spooked.

I see that there is "The Martian Chronicles" by Ray Bradbury (33 mentions), and "The Martian" by Andy Weir listed much later (11 mentions), but most of mentions for "The Martian Chronicles" appears to be referencing "The Martian" instead.

Also, "Gödel, Escher, Bach" (20 mentions) and "GEB" (7 mentions) are listed as separate books, but they are the same book.

You should scrape 2024 also and then 2025 should be sorted by the delta. Otherwise it doesn't have that much to do with 2025 and is largely just books commonly mentioned on HN.

It's possible this idea isn't straightforward due to more or fewer total mentions but I think you could get there.

Love this. Is there a scrape-able list of these?

Harry Potter apparently either the best book to read or the one with the most for engineers to learn from, I have to conclude.

Kind of surprising that HN still is quite limited to the US-West, expected a little more diversity with the readers and discussions out there

Love this. The top programming books being SICP, Clean Code, and Crafting Interpreters feels very on-brand for HN.

Surprised by how much fiction shows up though. I'd assumed HN skewed heavily technical but seeing 1984, Dune, and Foundation in the top mentions suggests the community has broader reading habits than stereotypes suggest.

One bug: looks like "The Martian" by Andy Weir is getting grouped with "The Martian Chronicles" by Ray Bradbury. Might want to add some disambiguation logic for common title collisions.

How are you doing the extraction? LLM-based NER or something more traditional like regex + entity matching?

What is the cut off date?

It seems to miss the mentions of the late John Varley's books in https://news.ycombinator.com/item?id=46269991 six days ago.

There's a mistake with The Rust Programming Language. It counts Programming Rust as the same book.