Book recommendations from readers like you
Most recommendation engines blend everyone together. A romance reader gets philosophy suggestions. A sci-fi fan gets cookbooks. BookTribes fixes that by matching you with your reading tribe.
"People who bought this also bought..." doesn't work for books
Amazon, Goodreads, and other platforms recommend based on millions of strangers. That's fine for buying headphones. It's terrible for books.
Your reading taste is personal. A mystery lover who also reads literary fiction has nothing in common with someone who only reads thrillers. You need recommendations from people who actually read like you do.
What "everyone" recommends:
Random bestseller
Because 10 million people bought it
Genre you don't read
Because it's "similar" to one you liked
Sponsored pick
Because the publisher paid for placement
How BookTribes works
Three steps to recommendations that actually match your taste
Rate 10+ books
Search our library of millions of books and rate the ones you've read from 1-5 stars. The more you rate, the better your matches get.
Find your tribe
We analyse your ratings against every other reader and find the ~100 people who share your taste the most. That's your reading tribe.
Get personal picks
See what your tribe loved that you haven't read yet. These aren't generic bestseller lists - they're books chosen by people who read like you.
What your tribe recommends:
Book 47 tribe members loved
Weighted by taste similarity
Hidden gem from 12 tribe members
Only 200 total ratings
Book your tribe says to avoid
8 tribe members anti-recommended
Know which books to avoid, too
Most platforms only show you what to read. BookTribes also shows you what to skip.
Every user can "anti-recommend" books - flag the ones that are genuinely bad or wildly overhyped. When multiple people in your tribe anti-recommend the same book, it shows up in your "Books to Avoid" feed.
Save time and money by skipping books that people with your exact taste didn't like.
Why tribes beat algorithms
Taste, not genre
You're not matched by genre tags. You're matched by how you actually rate books. Two mystery readers who rate the same books differently won't be in the same tribe.
No sponsorship bias
Recommendations come from real readers in your tribe, not from publishers who paid for visibility. What shows up is purely based on ratings.
Discover hidden gems
Your tribe reads books that don't make bestseller lists. Discover niche titles that mass-market algorithms would never surface.
Warn each other
The anti-recommend system lets your tribe flag books that aren't worth the time. See what people with your taste say to avoid before you waste a weekend.
Stop wasting time on bad book recommendations
Rate 10 books. Find your tribe. Get recommendations that actually match your taste.
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