3 items
Filter NSFW content and OnlyFans promotional posts on X (Twitter) CleanFeed for X automatically filters inappropriate content on X (Twitter) to give you a cleaner, more professional browsing experience. 🛡️ WHAT IT FILTERS: • OnlyFans promotional posts and spam • NSFW usernames and inappropriate content • Telegram links and suspicious URLs • Leak-related content and spam keywords • Adult content across tweets, replies, and comments ⚡ KEY FEATURES: • Real-time filtering during infinite scroll • Two filtering modes: Blur content or remove completely • Filters all content types: tweets, replies, comments • Lightweight performance - no lag or slowdown • Privacy-first: all processing happens locally on your device • Easy toggle on/off with compact popup controls 🎯 PERFECT FOR: • Professionals using X/Twitter for networking • Users wanting a cleaner social media experience • Anyone tired of inappropriate promotional content • Parents concerned about content exposure 🔧 HOW IT WORKS: Simply install and browse X/Twitter normally. The extension automatically detects and filters inappropriate content in real-time. Use the popup to toggle filtering on/off or switch between blur and remove modes. ✅ PRIVACY & SECURITY: • No data collection or tracking • All filtering happens locally on your device • No external servers or third-party services • Open source and transparent filtering rules Transform your X/Twitter feed into a professional, clean browsing experience with CleanFeed for X.
Aug 8, 2025
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.