Built by a reader, for readers.

I have been tracking my books on Goodreads since 2009, and I listen to more than 100 audiobooks a year. Over time, I realised my reading history was being stored, but not really understood.

I did not want another shelf, star rating, or list of popular books. I wanted recommendations that understood why I liked something: the pacing, themes, characters, mood, narrator, and patterns that kept showing up in what I read and listened to.

I tried the existing tools. Some were useful, but none gave me the personal recommendation layer I wanted. So I started building my own recommendation tools, for one reader: me.

Those experiments eventually became The Reading DNA.

The idea is simple: turn your real reading history into a personal taste profile, then use it to find books that actually fit.