Real, timestamped clip candidates from your video's actual caption track — for you to review and pick from, not an AI virality score.
We don't claim to detect "viral" moments — that needs real audio/visual analysis we don't have. This surfaces real ~45-second windows with their actual spoken text, so you can quickly scan for the strongest one.
This surfaces real, accurately-timed windows of your content — it can't tell you which one will actually perform, since that needs real audience and visual data.
Real ~45-second candidate windows chunked from the video's actual caption timing, each with its real spoken text.
Scan the text of each window and pick the one that reads as a complete, standalone thought.
Window boundaries are based on caption timing, not scene or topic changes — always double-check the exact in/out points in your editor.
No — it can't. Predicting performance needs real audience data and visual analysis we don't have access to. What it gives you is real, accurately-timestamped windows of your actual content so you can review them quickly instead of scrubbing the whole video manually.
We build, edit, and grow fully automated YouTube channels end-to-end. Strategy, production, SEO, and monetization. You own the asset.