5 items
In-context feedback & QA capture. Pin issues on the page, turn them into AI-ready prompts, and retest. LoopBack In-context web feedback, turned into AI-ready prompts Stop pasting screenshots into Slack and writing the same bug report twice. LoopBack lets you leave feedback right on top of your live website, then turns the whole list into a clean, ready-to-paste prompt for your AI coding agent. Built for people who ship with AI: indie hackers, developers, designers and QA. HOW IT WORKS 1. Capture Click any element on your site and drop a note. LoopBack automatically captures the DOM selector, the URL, the viewport and a screenshot. 2. Organize Every note lands in a clean queue, with severity, status and context attached. Triage without ever leaving the page. 3. Prompt One click bundles everything into a structured Markdown prompt with selectors and screenshots included, ready for Claude Code, Cursor, Copilot or any AI agent. 4. Retest Run back through the list, mark fixes as Verified, and reopen what's still broken. The loop closes when everything's green. WHY YOU'LL LOVE IT Feedback lives in context, so there's no more "which button on which page?" Auto-captured selectors and screenshots give your agent everything it needs. Your AI receives a structured Markdown prompt instead of a wall of text. Retest and verify fixes without losing track of what was completed. Dark, fast and keyboard-friendly, so it stays out of your way. PERFECT FOR Building apps with Claude Code, Cursor or Copilot. Reviewing a site with a client or teammate. QA passes and design polish before launch. Turning messy feedback threads into actionable tasks. PRIVACY LoopBack runs only on the page you're on and captures only what you point at. (Add your specific privacy details here.) Install LoopBack, pin your first piece of feedback, and let your AI agent handle the fixes.
Jun 30, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.