AI Slop Filter for LinkedIn — Hide AI Posts
Overview
Detect and hide AI-generated 'slop' posts in your LinkedIn feed. 100% local — your feed never leaves your browser.
Tired of your LinkedIn feed filling up with AI-generated "slop" — the "I'm thrilled to announce", emoji-bulleted, "Agree? 👇" engagement bait that all sounds the same? AI Slop Filter scores every post in your feed and hides, blurs, or labels the ones that read like they were written by a bot. ★ 100% LOCAL & PRIVATE All detection runs inside your browser. Your feed never leaves your device — no servers, no analytics, no data collection. Ever. ★ THREE FILTER MODES • Blur — softly blur flagged posts with a one-click "Show anyway" button (default) • Hide — collapse flagged posts to a slim, expandable stub • Label — just tag them "🤖 Likely AI" so you decide ★ TUNE IT TO YOUR FEED • Sensitivity slider — from relaxed to aggressive • Custom phrases — always hide posts containing words you choose • Per-author allowlist — never filter people you actually want to read • One-click floating toggle to flip the filter on/off without leaving the feed • "Posts filtered today" counter ★ HOW IT WORKS The detector looks for the tells of AI/engagement-bait writing: canned opener phrases, emoji-bulleted lists, one-sentence-per-line cadence, excessive em-dashes, hashtag clusters, and call-to-action endings. It's fully heuristic and runs in milliseconds, locally. ★ HONEST ABOUT LIMITS No detector is perfect — that's why Blur mode (with "Show anyway") is the default instead of hard-hiding. You're always in control. Works on the LinkedIn feed (linkedin.com). Not affiliated with LinkedIn.
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Details
- Version1.0.1
- UpdatedJune 15, 2026
- Size16.22KiB
- LanguagesEnglish
- Developer
Email
alessandro.rodi10@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes