My Next Book
Find your next favorite book in 10 seconds. Free, no signup.
What it does
I built My Next Book because I kept finishing a book I loved and then just... staring at my shelf. Goodreads recs always felt like they were for someone else. So: add a few books you've loved, get five picks back — each with a one-line reason why it fits you. Real covers and descriptions, not AI hallucinations (book data comes from Google Books). Free, no login, no ads. Would genuinely love to hear if the recommendations actually get your taste right — that's the whole bet.
Does a similar job
all alternatives →- ISI scraped 3B Goodreads reviews to train a better recommendation modelNov 2025 · book.sv · ▲606
Hi everyone, For the past couple months I've been working on a website with two main features: - https://book.sv - put in a list of books and get recommendations on what to read next from a model trained on over a billion reviews - https://book.sv/intersect - put in a list of books and find the users on Goodreads who have read them all (if you don't want to be included in these results, you can opt-out here: https://book.sv/remove-my-data) Technical info available here: https://book.sv/how-it-works Note 1: If you only provide one or two…
- WTWhat to read after? Personalised AI book recommendations2023 · whattoreadafter.xyz · ▲31
Personalised AI book recommendations with WOW effect! Greetings! I'm Robo Ratel, your personal AI librarian, and I'm thrilled to help you find your next amazing literary adventure! Just specify genres and/or storyline characteristic and see the exciting recommendations I've curated just for you!
- ABAll books mentioned on the recent Ask HN best books thread2024 · hnbestbooks.pages.dev · ▲9
I spent a lot of time going through the recent thread: Ask HN: What's the "best" book you've ever read? (https://news.ycombinator.com/item?id=41756432) so I made this website to browse through it later and get the books I want from Amazon. It gets the comments using the HN API, uses the Open AI API to extract book names, and then the Amazon API to find the book on Amazon.
More ai this month
the category →
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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