FeedbackFalcon
Happy clients. Happy developers. Zero debugging friction.
3 followers
Happy clients. Happy developers. Zero debugging friction.
3 followers
Most feedback tools hand you a screenshot and leave you trying to reproduce the bug locally. We built an MCP server to skip that step. When a client reports an issue, FeedbackFalcon grabs the actual browser state, including the DOM, console logs, and network requests, and pipes it directly into Cursor or Claude. Your AI assistant gets the exact runtime data from the failing session. It does not have to guess what broke. The bug's exact state just shows up in your editor, ready to fix.
Hey Product Hunt! 👋
We built FeedbackFalcon because we got tired of the "it works on my machine" loop.
If you do client work, you know the drill. A client says "the checkout button is broken" and attaches a cropped screenshot in a Word document. You spend the next three hours trying to reproduce the error locally.
The problem with existing tools
Most visual feedback widgets stop at the screenshot. They show you what the bug looks like, but not why it is happening. AI coding assistants are great, but if you ask them to fix a bug without the runtime context, they just guess.
What we built
We didn't want to build another standard feedback widget. We wanted a way to get the bug's actual state into the editor.
Here is what FeedbackFalcon does:
Context capture: When a user flags an issue, we grab the DOM state, console errors, and network requests directly from their session.
The MCP pipeline: Instead of making you read logs on a dashboard, we pipe the failing data straight into your IDE using a Model Context Protocol (MCP) server.
No reproduction needed: Your AI assistant gets the actual failing state of the user's browser. It reads the context and suggests a fix, without you having to trigger the bug yourself.
We are trying to skip the detective work. We'd love for you to try it out.
Let us know how your AI handles the context, and drop any questions below. We'll be in the comments all day! ☕️