What is Feedby?
Feedby analyzes YouTube comment sections to isolate meaningful user feedback, feature requests, and bug reports. It employs natural language processing to remove irrelevant or spammy comments, delivering only actionable insights. The filtered comments are automatically forwarded to the user’s inbox, simplifying data collection without manual sorting.
Feedby supports Node and Deno runtimes, integrating seamlessly with Supabase for database interactions. Its API allows developers to customize extraction rules and export formats for downstream analytics or project management tools. The tool is designed for content creators, product managers, and customer support teams who rely on community comments to guide product decisions.
Feedby pricing Freemium
Verify on the official pricing page.
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Feedby's key features
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Filter useless comments
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Collect feedback to inbox
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Detect questions and bug reports
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AI-powered comment filtering
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Node/Deno compatibility
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Supabase integration
Feedby use cases
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Filter YouTube comments to isolate actionable feedback for product teams, automatically sending concise summaries to the development inbox and eliminating spam and irrelevant chatter
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Integrate Feedby with Supabase to aggregate user sentiment and feature requests across multiple channels, enabling real‑time analytics dashboards for community managers
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Use Feedby’s API to pull cleaned comment data into a custom Node.js pipeline for sentiment analysis and trend detection, feeding insights into marketing strategy without manual review
Who is it for?
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Software developers
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Content creators
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Product managers
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Community managers
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Data analysts
