YouTube watch history analyzer for parents
A tool that analyzes a child's YouTube watch history and generates a 'brainrot risk report' for parents. It uses LLMs to identify patterns like repeat channels, addictive loops, late-night spikes, and content quality, helping parents understand what content shapes their child's feed without relying on screen time alone.
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YouTube comment analyzer for creators and brands
CrowdOpinio reads every comment on a YouTube channel and generates a report covering sentiment, content ideas, complaints, and sponsorship/revenue signals. It uses LLMs to process large volumes of comments and extract actionable insights for creators, brands vetting creators, investors, or collaborators.
Content Chef: browser extension to block AI-generated YouTube videos
Content Chef is a browser extension that lets users filter out AI-generated or otherwise unwanted content from their YouTube feed. It provides customizable filters that can be toggled on or off, giving users control over what they see. The extension addresses the problem of low-quality or unwanted AI content cluttering YouTube recommendations.
AI virality score predictor for short videos
A tool that scores short videos for viral potential before posting, using a model that analyzes faces, motion, and sound. It helps creators optimize content but has blind spots: it cannot evaluate curiosity hooks, captions, or storytelling elements that drive sharing.
AI fact checker for YouTube videos as browser extension and API
PopUpFactCheck is a browser extension (Chrome and Firefox) and API that uses AI to fact-check YouTube videos in real time, including live streams, by analyzing captions. It helps viewers verify claims without leaving the video, with features like navigation via arrow keys and batch report generation.
Site blocker Chrome extension to reduce digital distractions
A Chrome extension that blocks distracting websites to help users stay focused. The extension was built by a developer who struggled with distractions during college, starting as a rough class project and later rebuilt from scratch. No LLM usage is mentioned.