The BookMatcher Journey
BookMatcher started as a weekend project and grew into a full platform. Here's the story of how it came together.
The Problem
I read a lot, but finding my next book was always a chore. Goodreads recommendations felt stale. Amazon's suggestions were too commercial. I wanted something that understood *why* I liked certain books, not just *what* I read.
Initial Prototype (Week 1-2)
The first version was embarrassingly simple:
Surprisingly, this worked well enough to validate the concept. User feedback was enthusiastic.
Building the Real Thing (Week 3-12)
Tech Stack Decisions
The Recommendation Engine
The interesting part. Rather than just prompting GPT with "recommend books like X", I built a more sophisticated system:
This approach produces much better results than simple collaborative filtering.
Pivots Along the Way
Launch and Beyond
Launched on Product Hunt, reached #4 for the day. Current users: ~2,000 monthly actives.
The biggest lesson: ship early, iterate based on real usage. My "perfect" v1 plans would have taken 6 months and missed what users actually wanted.