6 items
Filter LinkedIn feed by language, hide promoted posts, and cut through the noise. NoiseOff for LinkedIn — Take back your feed. LinkedIn's feed is full of noise: posts in languages you don't speak, sponsored content disguised as organic, and algorithm-driven clutter. LinkedIn offers no native way to fix this. NoiseOff does. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔇 WHAT IT DOES NoiseOff filters your LinkedIn feed in real time, hiding content you don't want to see while keeping everything you do. 🌍 Language Filter Set your preferred languages and NoiseOff hides posts written in other languages. Uses your browser's built-in language detection — no data sent anywhere. 🚫 Promoted Post Filter Automatically detects and hides sponsored/promoted posts that LinkedIn disguises as organic content. 🖼️ Media Content Filter Optionally hides images, videos, and link previews from filtered posts for a cleaner feed. 👁️ "Show Anyway" Button Every hidden post shows a subtle collapse bar: "🔇 Post in [Language] — hidden by NoiseOff" with a "Show anyway →" button. One click reveals the post. Your choice is respected for the session. ⚡ Master Toggle Turn all filters on or off instantly with a single switch. 📊 Session Stats See how many posts have been filtered in the current session, right in the popup. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🌐 SUPPORTED LANGUAGES (26) English, Greek, German, French, Spanish, Italian, Portuguese, Dutch, Russian, Arabic, Chinese, Japanese, Korean, Polish, Swedish, Norwegian, Danish, Finnish, Turkish, Ukrainian, Hebrew, Hindi, Romanian, Czech, Hungarian, Bulgarian ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔒 PRIVACY — 100% LOCAL - No data collection of any kind - No network requests — the extension never phones home - No tracking, analytics, or telemetry - No access to your LinkedIn account - Language detection runs entirely in your browser - Open source — inspect every line of code on GitHub ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💻 OPEN SOURCE GitHub: https://amihacked.github.io/noise-off-linkedin-site/ License: MIT
Mar 27, 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.