Launching Dizora

We built Dizora because comments are data — but creators treat them like noise Every creator reads comments. Very few use them. Not because they don’t care — but because once a video crosses a few hundred comments, feedback collapses into chaos. You see: scattered praise repeated complaints the same questions asked 40 different ways sarcasm, jokes, trolls, and real pain points… all mixed together Your brain is not built to aggregate that reliably. It’s a pattern-recognition problem disguised as “engagement.” That’s where Dizora comes in. Dizora analyzes YouTube comments and turns them into decision-ready insight: What your audience liked (and why) What confused or annoyed them What they’re repeatedly asking for What to ignore safely What to fix, double down on, or stop doing No generic AI summaries. No “your audience feels positive overall” fluff. The goal is simple: replace comment scrolling with clarity. This is especially useful if you: iterate content based on feedback run YouTube seriously (education, tech, finance, storytelling, reviews) want evidence before changing your content strategy Dizora doesn’t tell you what to think. It compresses thousands of opinions into structured signals so you can think faster. We’re live on Product Hunt today 🚀 If you believe feedback systems should guide action — not just look impressive — I’d love your thoughts. This is an early version, built in public, and feedback from makers & creators will directly shape what comes next. Thanks for checking it out — Bikram, builder of Dizora