6 items
Find peak moments on YouTube using comment spikes, Most Replayed data, and AI audience analysis. Affiliate links may appear. LikePulse shows you exactly where YouTube audiences react — so you never miss the best moments in any video. ── WHAT IT DOES ── ▸ Engagement Heatmap Dual-bar chart overlaid on every video. Red bars show where viewers wrote timestamp comments ("3:31 amazing!"). Blue bars show YouTube's Most Replayed data. See both signals at once. ▸ Key Moments — Click to Jump Automatically detects peaks in audience activity. Click any moment to jump directly to that point in the video and read what people said. ▸ AI Audience Analysis Claude AI reads the comments and tells you: what happened at each peak, what emotion drove it, and what the creator could improve next time. ▸ Product Detection AI identifies products mentioned in the video and finds them on Amazon. Affiliate links may appear. ▸ 4 Languages Full UI in English, Spanish, Portuguese, and French — auto-detected from your browser. ▸ Analyze on Demand You decide when to run the analysis. LikePulse never runs automatically in the background. ── HOW IT WORKS ── 1. Install LikePulse (no account needed) 2. Open any YouTube video 3. Click "Analyze this video" 4. See the heatmap, key moments, AI analysis, and detected products — in seconds ── DATA & PRIVACY ── LikePulse does not collect personal data. It only processes public YouTube comments (the same ones visible to everyone). No account, no login, no subscription required. Full privacy policy at likepulse.app/privacy
May 22, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.