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BookWatch – Animated book summaries for visual learners

Hacker News

BookWatch – Animated book summaries for visual learners

Hey HN! 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 learners? Yet most book knowledge remains trapped in text format. Many of us want the wisdom of great books but struggle with: - Finding time to read entire books - Maintaining focus through hundreds of pages - Remembering key concepts without visual reinforcement - Traditional reading is slow, boring, and leaves millions of learners behind. Our Solution: Learn by Watching, Not Reading BookWatch uses proprietary AI technology to transform non-fiction bestsellers into animated video summaries that capture the core ideas in a visually engaging format. Some animated book summaries you might like: - Hackers and Painters by Paul Graham: https://www.bookwatch.com/videos/aGtpl1QLtyzN6JlqRze7 - Zero to one by Peter Thiel: https://www.bookwatch.com/videos/rSvhERHHBoF8bpTlXnyi - The lean startup by Eric Reese: https://www.bookwatch.com/videos/dTwT3JdLWvpAsOVGbePa - Blitz Scaling by Reed Hoffman and Chris Y: https://www.bookwatch.com/videos/ogoFpks8aRGn8OgmKP2F What Makes BookWatch Special? (1) AI-Powered Personal Book Expert Every video comes with an AI expert that knows everything about that specific book. Ask how to apply concepts to your unique situation: "How can I use these ideas to improve my startup?" or "How would this apply to my leadership role?". Our AI expert will give you specific advice based on the book on how to apply it in your life or business situation. (2) Smart Note-Taking System Our one-click note system captures what's being said at that exact moment in the video. No need to pause or get distracted - just click and continue watching! Review and organize your notes later. (3) AI Book Recommendation Engine Don't know where to start? Tell our AI what you want to learn ("I want to be a better public speaker" or "I want to be more productive" or “I want to learn b2b sales”), and it'll recommend the perfect books from our library. (4) Progress Tracking & Gamification Stay motivated with achievement badges, learning streaks, and a visual representation of your growing knowledge base. See how many days have you been learning and which books helped you more. Business Model We've adopted a freemium approach: Free tier: 60 minutes of learning per day Premium: $89/year or $13/month for unlimited access Where to Find Us Web app: BookWatch.com iOS & Android apps: Search "BookWatch" in app stores Check out our growing YouTube community Over 65,000 users have learned with BookWatch and we have grown on youtube organically to 100,000+ subscribers and 4.5M views! I'd love to hear your thoughts and feedback! What books would you like to see in visual format first? What features would make this even more valuable for your learning journey? Thank you HN community!

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
95%95% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, user · Missing: mac, agents, macos
70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, ide, 000 · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, google
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscribers · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio, introduce, smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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