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Rate and display ratings for Twitter posts Have you ever seen a post on X (formerly known as Twitter) that instantly ticks you off… and suddenly you’ve spent an hour arguing with strangers? This extension is built to stop that. It analyzes posts as you scroll and shows the “signal behind the post” — how it’s framed, what emotions it’s trying to trigger, and how reliable the claims look — without changing how you browse. As you scroll, it can: Detect and analyze post text Score framing, sentiment, and potential bias Flag rage-bait, hype, fear, or misleading presentation Show a short, clear explanation for the score (so you can decide fast) The goal isn’t to tell you what to think. It’s to help you pause for two seconds, get context, and keep moving—so you don’t get pulled into endless doomscrolling or comment-war rabbit holes. Built for speed, privacy, and clarity. The analysis runs right on the page and blends naturally into the platform’s UI. Scroll smarter. Don’t take the bait. Privacy & Control The extension stores lightweight local data on your device to improve performance and avoid re-analyzing the same content repeatedly. You can clear this local cache at any time using the “Clear Cache” button in the extension settings. This resets locally stored analysis data without affecting your login status or account access. You will need to log in or create an account to access the features in this extension. The extension displays analysis scores by adding visual UI elements directly onto supported pages while you browse.
Jan 22, 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.