FindReads – I built a site that recommends books by vibe

Show HN: FindReads – I built a site that recommends books by vibe

Operating in show hn launch, FindReads – I built a site that recommends books by vibe operates.

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I’ve always felt that most book recommendation engines are shallow, they either use tags or “people also liked” data. I wanted something that actually understands what you mean when you say “slow burn sci-fi with emotional depth” or “books like Harry Potter.”So I built FindReads . It uses GPT to interpret your prompt, queries for books, and returns real titles that fit the vibe.Stack: Next.js, OpenAI API, MongoDB, deployed on Vercel.It’s still a work in progress — the results are surprisingly good for some moods, weird for others, but I’d love feedback from the HN crowd on how you’d approach improving it.Things I’m exploring next: • Combining embeddings + genre metadata for more consistent r

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The company is listed at the Show HN launch stage of development.

Website: www.findreads.app