386 Interest Score
80 Discussions
0.21 Engagement
Feb 2025 Launched

We use AI to create animated book summary videos for visual learners. If you don't like reading but want to learn from the best non-fiction books, this is the app for you.

What the Community Said

Hey Product Hunters! 👋 I'm Miran Antamian, founder and CEO of BookWatch, and I'm thrilled to introduce BookWatch.com . The first AI-powered Visual Library for learners who hate reading but love growing. 📚✨ After 1.5 years of building, 65,000+ mobile app users, and countless animated summaries, we're launching our New Web App to make learning even more effortless. 🧠 The Problem: Visual Learners Can't Learn from Books in Text or Audio Formats Did you know that 65% of people identify as visual lear

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Love the product! Would love to see if you can do research paper as well and probably extend it to general textual idea that people would want to share with the world. There are many youtube channels that use animation to simplify the idea they are delivering. Additionally, provide better engaging voice such as of Sir David Attenborough and potentially contextual base voice, not all book would be suitable with one single voice.

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Amazing product to make our world smarter. I love it, thanks to your efforts. Good luck to your startup. BTW do you plan to add our languages or subtitles in other languages? It can help people to learn languages too.

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BookWatch is perfect for visual learners who struggle with traditional book formats! The idea of transforming non-fiction bestsellers into engaging animated video summaries is a game-changer —especially for people who want the wisdom of great books without the time commitment of reading hundreds of pages. The AI-powered personal book expert is a standout feature—being able to ask for practical, book-specific advice makes learning so much more actionable. And the smart note-taking system is a bri

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The Web App Looks clean! Good work guys

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Frequently Asked Questions

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

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