Finished a Book You Loved? Here's How to Find Your Next One
Finding book alternatives that genuinely scratch the same itch is harder than it sounds. You close the last page of something brilliant — maybe it was Four Thousand Weeks by Oliver Burkeman, or a sprawling fantasy like The Wandering Inn — and then what? You Google "books like X", wade through a Reddit thread from 2019, and end up with a list of fifteen vague suggestions and no idea where to start. More Like This was built to solve exactly that problem.
Here's how it actually works — and why it tends to surface books you haven't already heard of a hundred times.
What You Type In — and What the AI Does With It
You don't need to be precise. That's the point. You can type the name of a book you love (The Hitchhiker's Guide to the Galaxy), a favourite author, a genre and mood combined ("funny literary fiction with a dark edge"), or even just a feeling ("something like a warm hug but actually clever").
The AI — powered by Anthropic's Claude — reads that input and gets to work understanding what it is you actually responded to. Not just the genre label. The texture of the thing. The pacing. The tone. Whether it's the wit, the world-building, the emotional gut-punch, or the kind of prose you read slowly because you don't want it to end.
That analysis shapes three specific recommendations, not a generic list of twelve titles you've already seen everywhere.
Three Results, Each With a Different Purpose
Every search returns three picks:
- Closest Match — the book that most closely mirrors what you searched for. If you loved the dry cosmic absurdism of Douglas Adams, this is the title that sits closest to that frequency.
- Second Match — a well-matched alternative that approaches the same appeal from a different angle. Perhaps a different era, a different format, or a different genre that shares the same emotional DNA.
- Wildcard — the recommendation you didn't see coming. Books that share a particular quality — the propulsive readability of Dungeon Crawler Carl, say, or the quiet philosophical depth of Four Thousand Weeks — sometimes live in completely unexpected places. The Wildcard goes there.
It's a structure that gives you something safe, something interesting, and something to be genuinely surprised by. Most recommendation engines stop at the first one.
Why It Works Better Than "Readers Also Bought"
Retail algorithms are built to sell you what other people bought. That's useful — but it has a ceiling. It doesn't know that you loved The Power of Habit not because you're interested in self-help, but because you're fascinated by the mechanics of human behaviour and you want more of that, wherever it lives. It doesn't know that you bounced off a book with five-star reviews because the pacing was too slow, or that you actually prefer translated fiction even though you've never searched for it directly.
More Like This doesn't look at your purchase history or track your behaviour. It reads what you type, understands it with genuine nuance, and responds to the specific thing you've described — not a demographic profile of someone vaguely like you.
Some Searches That Work Really Well
You can be as specific or as loose as you like. Some searches that tend to produce excellent results:
- A book title: "Dungeon Crawler Carl" — ideal if you want to stay close to something that worked
- An author's name: "Oliver Burkeman" — good for finding writers with a similar intellectual sensibility
- A mood or vibe: "funny but actually quite bleak, easy to read on a commute" — works surprisingly well
- A combination: "something like Hitchhiker's Guide but science fiction that takes the science seriously" — the AI handles the nuance
- A situation: "a book I can give my dad who only reads historical fiction and thinks he won't like anything new" — yes, this works too
No Affiliate Bias, No Paid Placements
This is worth saying plainly: More Like This doesn't take money from publishers or retailers to push particular titles. The recommendations come from the AI's understanding of what you're looking for, not from who's paying for visibility. If the best answer to your search is an obscure debut novel or a classic from forty years ago, that's what you'll get.
It's free to use. There's no account required. You just type something you love and see what comes back.
Ready to Find Your Next Read?
The best way to understand how it works is to try it with something you genuinely loved — a book that's stayed with you, or one you finished last week and can't stop thinking about. Type the title, the author, or just describe what made it good.
Try More Like This and see what the AI finds. You might be reading something you've never heard of by the weekend.