Turn YouTube comments into clear, actionable insights. CommentPulse analyzes audience feedback to uncover sentiment, detect content issues, and highlight what viewers truly care about. Get a simple channel health score, discover improvement opportunities, and plan smarter videos based on real audience voice, not guesswork. Built for creators who want to grow faster using data that actually matters.

Hey everyone 👋 I’m the maker of CommentPulse. This started from a simple frustration: Every creator reads comments… but it’s slow, biased, and easy to miss patterns. So I built CommentPulse to answer one question: 👉 *What are viewers actually trying to tell you?* It analyzes all your YouTube comments and surfaces: • Sentiment (what people feel) • Issues (audio, pacing, editing, etc.) • Patterns you’d never catch manually • A simple “Channel Health Score” One insight that surprised me during testing: In many videos, most negative feedback wasn’t about content… it was about delivery (pacing, clarity, audio). I’m still improving this and would genuinely love your feedback. A few things I’d love to know: 1. Would this be useful for your workflow? 2. What’s missing for you? 3. Would you trust AI insights from comments? Happy to answer anything and improve based on your suggestions 🙏