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Remove the stuff you don’t want to see in your X (Twitter) feed. Filter by concept, person, emotion — anything. As you use Bouncer to hide unwanted posts, X takes notice and adapts its algorithm to serve you more of what you actually like, healing your feed within hours. FEATURES 🧹 Filter by phrase: Bouncer understands context, meaning, and tone. Get rid of posts that match open-ended phrases like “arrogance,” “pessimism,” “text-only tweets," or even the color “green.” 🤖 AI slop removal: We use a special model to flag and remove AI content, including both text and images. To activate, click the star icon or simply ask to filter out "AI slop". 🗑️ Bounce this post: see a post you don't like? Click the trash can icon and Bouncer will suggest three reasons why you may find that tweet annoying. Click on any of those reasons and that tweet, and everything like it, will disappear. 📃 View filtered: see every tweet Bouncer has removed, along with a justification. If Bouncer made a mistake, you can filter or restore individual tweets with a single click. 💻 On-device mode: run filtering on your laptop rather than on Imbue servers, for maximum privacy. Uses Gemma 4 E2B. 🔒 No data collection: Bouncer does not collect or store any identifying data. Built by the team at Imbue.com ABOUT IMBUE Imbue develops tools that help people think, create, and build. We believe technology should be loyal to the user and aligned with human goals. We share many of our tools openly because we believe technological progress should be collaborative and developer-driven.
Sep 8, 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.