A reading tracker that actually gets out of your way
BookOwl is a free reading tracker for iOS and web. Import from Goodreads, StoryGraph, or Audible. Barcode scanning, half-star ratings, custom shelves, Year in Review, series tracking, and a Reading Autobiography that captures your identity as a reader. No ads.
Hey Product Hunt! I'm Phil, product leader turned solo dev. 12+ years at Disney/ESPN, Twitter, and Microsoft, and I built BookOwl because I got tired of waiting for someone to fix the reading tracker experience. Every year I'd think "maybe this is the year Goodreads finally updates their app." It never was. So I built my own. BookOwl has been on the App Store for a about a month, and I've been iterating quickly. v1.3.0 just shipped, and here's what I'm most proud of: You can import from Goodread
I track a lot of things — habits, goals, work streaks — but somehow never my reading. The closest I got was a reading diary in elementary school. The idea of seeing how my taste changes over time might finally get me started. Does it work well for someone who reads in bursts rather than consistently?
Love the design. How are you sourcing your book data?
WOW! As an avid reader, I have always wanted an app / tracker where I can actually track my books and understand the patterns of my reading habits, genres, authors and much more. Goodreads was the only platform which was close to a "tracker" I had. I always wanted something like a Spotify Yearly wrap-up or Youtube Music journey which summarises my yearly music habits and tastes. A quick suggestion... can you also have a widget feature where I can place this as my widget in the homescreen? I'll d
Congrats on the launch! The Reading Autobiography is a genuinely interesting idea, most trackers just give you stats but the "why you read what you read" angle is something else entirely. Curious how it handles rereads. Do they count separately or does it track how your relationship with the same book changes over time?
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.