Recommendations powered by people who read exactly like you.
Not an algorithm guessing at genres - real reading histories from readers whose taste actually lines up with yours, turned into your next great read.
Here is a live demo with sample data
Analyzing a sample library of 342 books...
Running Pearson correlation across readers...
You (sample)
Sample Reader
342 books rated
Your Taste Twin
Abbie K.
418 books rated
0%taste correlation
Books you both rated:
showing 20 of 31 shared books
Tomorrow, and Tomorrow, and Tomorrow5★5★
Circe5★5★
Piranesi5★4.5★
The Secret History4.5★5★
A Little Life5★5★
Normal People4★4★
The Midnight Library4★4.5★
Demon Copperhead4.5★5★
Lessons in Chemistry5★4.5★
Where the Crawdads Sing2★2★
Pachinko5★5★
The Overstory4★4★
Educated5★5★
Station Eleven4.5★4★
Cloud Cuckoo Land4★4.5★
The Vegetarian3.5★3★
Bewilderment4★4★
Matrix4.5★4★
Hamnet5★5★
Remarkably Bright Creatures4★4.5★
Discover new books
See what your Taste Twins loved that you have not read yet. No more guessing what to read next.
Not a black box
Every recommendation is grounded in real, overlapping reading history - not vague genre tags or guesswork - so you always know why a book was suggested.
Import your library
Upload a CSV from Goodreads or StoryGraph. We parse your ratings automatically.