Feedby for Web Apps

Feedby, created by Dani Gleba, extracts actionable product intelligence from YouTube comment sections. The tool uses AI to filter low-value interactions, identify bug reports and feature requests, and route curated summaries to users. It applies natural language processing to label sentiment and intent, integrates with YouTube channels via a web dashboard, and is accessible on modern browsers. The app targets YouTube creators, product managers, and developers who need to convert audience comments into prioritized work items.

What tasks can you actually use it for?

Claim: The tool converts noisy comment streams into discrete inputs that product teams can triage. Instead of raw conversation, it surfaces candidate bug descriptions, feature ideas, and specific user questions formatted for review. For teams that treat video audiences as a feedback channel, this produces a set of labeled items that map to development backlogs, roadmap discussions, or content changes.

How accurate are the outputs compared to doing it manually?

Claim: Accuracy improves signal discovery by ignoring generic praise and simple emojis, a behavior the AI is trained to perform. Natural language processing assigns sentiment and intent tags, which helps prioritize items; users in indie-hacker communities report that this makes comment sections a more usable feedback source. Extracted items still benefit from human validation before being acted on in development workflows.

What inputs does it accept and what are its limits?

Claim: The workflow depends on a YouTube channel integration via the web dashboard, so input is limited to that platform's comment data. The web app runs on desktop and mobile browsers and is built to handle high comment volumes. Teams that aggregate cross-platform feedback need a separate ingestion step because the product targets YouTube’s comment ecosystem specifically.

Is it easy to adopt for creators and product teams?

Claim: The developer designed the service for low-friction adoption, routing curated insights to email and minimizing dashboard friction. That approach suits creators and community managers who prefer inbox-driven follow-up rather than opening additional tools. Product teams that require direct links into issue trackers will need to forward or export curated items into their existing systems.

Feedby is a practical tool for making video comments actionable

Feedby suits creators and product teams that treat YouTube as a primary feedback channel and prefer inbox-centric workflows. It helps surface candidate bug reports and feature requests, but teams should plan to verify extracted technical items before committing engineering time. For groups needing cross-platform ingestion or strict, documented data-retention controls, additional tooling or policy review is necessary.