An AI-Powered Widget for Collecting User Feedback
Capture real user feedback with screenshots, DOM, and console context your coding agent can act on.
An AI-Powered Widget for Collecting User Feedback launched on August 3, 2026 with 11 votes, #971 of 23,274 launches that month and more than 90% of that year's launches.
In plain words
An AI-powered widget that collects user feedback directly from applications and websites. The tool helps teams gather, analyze, and organize customer input automatically. It's designed for product managers, developers, and businesses that want to understand user needs and improve their offerings based on real feedback data. The widget integrates into existing platforms to streamline the feedback collection process.
written from the facts on this page · September 2026
From the sources
Mark-up mode activates. They click an element, draw a circle, write a note. A screenshot, DOM snapshot, and console log are auto-captured in the background. AI asks one or two clarifying questions, then extracts: the scene (context), the blocker, and the real underlying need. Install the Skill and connect MCP once (left) . The Skill gives your agent the workflow; MCP and the CLI provide feedback data and status actions. Then run /makethisbetter pick to inspect the original evidence, claim the feedback, and start the fix (right) . Works with Claude Code, Cursor, Windsurf, and Codex. The public Feedback Board shows progress in real time. Your user watches their issue move from received → in…from makethisbetter.dev
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