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Search, filter, and analyze comment conversations across supported sites. Comment Pulse helps you find useful comments faster. Instead of scrolling endlessly through long comment sections, Comment Pulse adds a compact floating sidebar directly on supported pages. You can fetch comments, search locally, filter by author, sort by engagement, and quickly spot the overall mood of the conversation. Use it to find: song names movie or scene references people mentioned in a video timestamps repeated questions highly liked replies positive, negative, or neutral reactions dominant conversation atmosphere Comment Pulse is useful for: researchers creators journalists moderators music fans video viewers anyone trying to understand large comment sections quickly Key features: Search comments without manually expanding every thread Works with YouTube through a secure backend API Supports public Reddit threads Includes visible-comment support for Facebook and other platforms Local sentiment and atmosphere analysis Engagement sorting Author filtering Export results to JSON or CSV Compact draggable interface No YouTube API key required for users Privacy-focused design: Comment Pulse does not require users to enter API keys. YouTube comment fetching is handled through a backend service, while search and analysis happen locally in the browser whenever possible. Comment Pulse is built for people who want to understand conversations faster, not just read them one by one.
rating_count is the Chrome Web Store ratings count, not a written-review count.