Feedby

Feedby is an instagram comment finder tool that turns your YouTube comment section into filtered user feedback. Feedby uses AI to sift YouTube comment sections, pulling out feedback, questions and bug reports and sending them to your inbox while discarding the noise.

Feedby is a filtering layer for YouTube comment sections, built for creators and product teams who publish videos and then lose track of what viewers actually tell them. A busy video can collect thousands of comments, and most of them are noise: jokes, one word reactions, dismissive remarks. Feedby runs an AI pass over that pile and separates the comments that contain real information from the ones that do not, so questions, bug reports and feature requests stop disappearing into the scroll. The workflow is narrow on purpose. You point Feedby at your videos, it reads the comments and sorts the signal from the chatter, and the useful items arrive in your inbox instead of sitting on a video page you rarely revisit. The site frames the output as three broad kinds of input: user feedback, questions and bug reports. That framing tells you who the product is for. Developers and small product teams who demo work on YouTube, and creators whose audience treats the comment section as a support channel, get the most out of it. Anyone running a channel where comments are pure audience banter has little to gain. In practice the tool behaves like a lightweight triage queue. Comments that read as feature suggestions, reproduction notes or direct questions get surfaced, while comments that carry no actionable content are dropped. The homepage illustrates this with sample comments about expo configuration, radio buttons that should be checkboxes, a request to redo a tutorial with the app router, and a deploy failure traced to a library import. Those examples are exactly the kind of long, specific comment that normally gets buried under short reactions. Among alternatives, Feedby is not a social media manager and not a general sentiment dashboard. It does one job: extracting actionable feedback from YouTube comments and delivering it where a team will see it. Pricing is metered by volume rather than by seat, which suits occasional publishing schedules. The scope is also the limitation, since nothing on the homepage suggests handling for other platforms or deeper analytics beyond the filtered inbox.