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…
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 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 from 2023 to 2025. So, this covers ~15,000 books and is a high-quality vote. We wanted to keep the dataset small for now while we play with approaches. We are building a full Book DNA app that pulls in your Goodreads history and delivers deeply personalized book recommendations based on people who like similar books (a significant challenge). You can sign up to beta test it here if you want to help me with that: https://docs.google.com/forms/d/1VOm8XOMU0ygMSTSKi9F0nExnGwo... The first beta is coming out in late January, but it's pretty basic to start. Past Show HNs as we've built Shepherd: https://news.ycombinator.com/item?id=40084193 https://news.ycombinator.com/item?id=38600246 https://news.ycombinator.com/item?id=26871660 Thanks, looking forward to your comments :) Ben
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