Life & fun · December 29, 2025
See what readers who loved your favorite book/author also loved to read
Hi HN, Every year, we ask thousands of readers (and authors) to share their 3 favorite reads of the year. Now you can enter a book/author you love and see what books readers loved who also loved that book/author. Try it here: https://shepherd.com/bboy/2025 This goes wide and doesn't try to limit itself to the genre, so you get some interesting results. What do you think? Background: I want better recommendations based on my reading history. I'm incredibly frustrated with what is out there. This system is based on 5,000 readers voting on their 3 favorite reads…
See what readers who loved your favorite book/author also loved to read launched on December 29, 2025 with 134 votes, #217 of 11,628 launches that month and more than 95% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
This tool helps readers discover new books by finding what other readers enjoyed who also loved a specific book or author. Users enter a favorite title or author name and receive recommendations based on voting data from thousands of readers sharing their top reads. The system draws from approximately 15,000 books across multiple genres, prioritizing cross-genre discoveries rather than limiting suggestions to a single category. It aims to provide more meaningful recommendations than existing alternatives.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi HN, Every year, we ask thousands of readers (and authors) to share their 3 favorite reads of the year. Now you can enter a book/author you love and see what books readers loved who also loved that book/author. Try it here: https://shepherd.com/bboy/2025 This goes wide and doesn't try…
Does a similar job
all alternatives →- C1Crunching 1,200 Authors' Favorite Reads of 20232023 · shepherd.com · ▲149
Hi all, creator here :) I launched Shepherd.com on a Show HN in April 2021 (https://news.ycombinator.com/item?id=26871660), and it has come a long way. My goal with Shepherd is to create an experience that feels like wandering your local bookstore, along with little notes from authors & experts sharing why each book is one of their all-time favorites. For 2023, I surveyed 1,200+ authors to get their three favorite reads of the year. Then I crunched that data and broke it by genre, age range, and when it was published. Publisher data is a nightmare, so some of the genres are…
- ISI scraped 3B Goodreads reviews to train a better recommendation modelNov 2025 · book.sv · ▲606
Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two…
- S3Shepherd 3.0 – Like wandering the aisles of your favorite bookstore2024 · ▲102
Hi all, creator here :) - I launched Shepherd.com (https://shepherd.com/) 3 years ago on Hacker News and have added a ton since then! Here is the original Show HN (https://news.ycombinator.com/item?id=26871660). I’ve interviewed 10,000+ authors & experts to get their 5 favorite reads around different topics, themes, and moods. And I’ve connected those so that you follow your curiosity around topics, authors, books, and more. Try Art Kleiner’s favorite reads on understanding AI and its effect on people:…
- RSReddit’s favorite learning books, from 3.5B comments2017 · redditfavorites.com · ▲69
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