Chrome Extension That Makes YouTube Videos Interactive with AI Quizzes

Hacker News

I built LearnTube AI, a Chrome extension that transforms passive YouTube watching into active learning. It automatically generates AI-powered quizzes during videos, like Coursera’s quiz system — but works on any YouTube video. It analyzes transcripts, pauses at natural breakpoints, and asks contextual questions to help you retain more. Works fully client-side using Chrome’s built-in Gemini Nano AI for privacy, or optionally via the Gemini API for faster, cloud-based processing. Key features: - Auto transcript parsing and quiz generation for any captioned video - Mid-video and end-of-video quizzes with explanations - Works offline (on-device mode) or via Gemini API (faster mode) - Visual quiz markers on the seekbar - Popup dashboard for managing models, API keys, and progress Built to make learning from YouTube as focused and interactive as formal platforms like Coursera — but with zero setup for creators. Chrome Web Store: https://chromewebstore.google.com/detail/learntube-ai/aoenlc...

Visit product View on Hacker NewsOct 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, models · Missing: mac, agents, macos

85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

82%82% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, google · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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