Huw and Kat
Kat

Kat

The reader, big ideas girlie and booktuber.

Huw

Huw

Builds it. Reads a lot less than Kat and plays a lot more video games.

Hello, we're Huw and Kat

A couple in the UK who believe everyone has a book worth staying up late for.

How this started

Honestly? Huw built it for Kat.

We're the classic trope: reader girlfriend, gamer boyfriend. Kat reads constantly and could never find recommendations that actually landed, and Huw thought it sounded like an interesting coding project. Neither of us had the faintest idea how much work we were signing up for.

Kat has shaped every part of it since, and has been invaluable throughout, as she is with most things. It genuinely wouldn't exist without her. Somewhere along the way we looked at what we'd built, decided it was too good not to share, and here we are!

What we're trying to build

Most book apps are really popularity engines. They notice you liked one fantasy novel and hand you the fifteen fantasy novels everybody already knows about. We wanted the opposite: an app that finds the book that's genuinely yours, including the quieter, mid-list and niche books that never got a marketing budget, and we'll tell you honestly how well we think each one matches you.

It turns out that's easier said than done, but it hasn't stopped us giving it our best!

Huw and Kat

How we work

There's no megacorp behind this. No investors, no advertisers, nobody with their own agenda for your data. Just the two of us and a lot of late nights. That shapes a few things we've decided up front:

No generative AI. Your recommendations come from what real readers have actually read and rated together, not from a chatbot guessing what sounds plausible, and your reading history is never sent to an AI company.

If it’s not AI, how does it work?
Maths. Huw spent most of his degree wondering when he’d ever use it. The answer turned out to be: finding Kat something to read.

Your star ratings do the work. We find the readers whose taste lines up with yours, then show you the books they rated highly that you haven’t read yet. No chatbot writes your recommendations, and nothing you send is ever used to train one.

We ask rather than take. Goodreads closed its public API years ago and its terms don't allow scraping. So when we need reading histories, we ask readers directly and they choose. It's slower, and it's the only version of this we're comfortable with.

Your data is never for sale. The full detail, in about a minute, is on our privacy page.

Kat's channel

Kat makes book videos on YouTube as @katerinareem. Give her a follow, you might have just found your new favourite booktuber!

Our favourites

Kat: The Secret History by Donna Tartt, Betty by Tiffany McDaniel, and Miracle in the Andes by Nando Parrado.

Huw: Flash Boys by Michael Lewis and Flash Crash by Liam Vaughan. There's a theme, and it isn't a subtle one. Meanwhile Gödel, Escher, Bach has been glaring at me from the shelf for years.

Come and say hello

We read everything that arrives and we reply to all of it. If you've got a feature idea, a complaint about every book app you've ever used, or you just want to know what we're up to, email hello@chaptermatch.com.

If you'd like to know when we open, there's a mailing list on the front page.

Want to help?
The recommendations get better when readers share what they have read, and before we launch we could use some real libraries to check they make sense. If you have a Goodreads or StoryGraph library, sharing it with us would help immensely.

Share your library