DEJA — LinkedIn & X Duplicate Post Filter

by https://ayaanrustagi.github.io/deja/ · ayaanrustagi.github.io · Tools

Established publisherManifest V3 Free

View in Chrome Web Store Data as of 16 Oct 2026

Stop scrolling the same LinkedIn & X posts. DEJA marks duplicates, echoes & spam templates — private, local, free.

Users

−2 in 30 days

Rating

0.0 / 5

unchanged in 30 days

Ratings

0 in 30 days

Store rank

#366K

#277K among extensions

Version

1.0.2

updated 21 Jul 2026

Users

monthly, 3 months

Latest, 16 Oct 2026: 2 usersMove the mouse over the chart for any month

Ratings count

monthly, 3 months

Latest, 16 Oct 2026: 0 ratingsMove the mouse over the chart for any month

The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.

About DEJA — LinkedIn & X Duplicate Post Filter

DEJA is a free Chrome extension that cleans up LinkedIn and X (Twitter) feeds by marking posts you've already seen — plus near-duplicates and engagement-template spam. THE PROBLEM Your feed repeats. The same "I turned down $X" LinkedIn post. The same engagement bait on X. Rewritten clones of yesterday's take. You waste attention re-reading loops. WHAT DEJA DOES As you scroll LinkedIn or X, DEJA builds a private, on-device memory of posts and quietly marks: • SEEN — exact or near-exact match to something you already scrolled • ECHO — paraphrased near-duplicate (simhash + token overlap) • PATTERN — structural engagement templates that keep recycling WHY INSTALL DEJA • Local by default — fingerprints stay in chrome.storage.local on your device • No account and no DEJA servers • Not another ChatGPT sidebar • Not a moralizing "AI detector" with fake confidence scores • Feed-only — ignores profile sections (experience, honors, interests) • Free forever for the core filter HOW IT WORKS 1. Exact match after normalizing links and mentions 2. 64-bit simhash near-duplicate detection 3. Token overlap for paraphrases 4. Template skeleton matching for engagement-bait families 5. Optional: bring your own API key for smarter semantic echoes (off by default) PRIVACY • Consent before scanning • Clear memory anytime from the popup • Data only powers the marks you see — never sold for ads GET STARTED 1. Install DEJA 2. Click "begin" in the popup 3. Open linkedin.com/feed or x.com/home 4. Hard-refresh the page (Cmd+Shift+R / Ctrl+Shift+R) 5. Scroll — memory builds as you go; marks appear when loops return Website: https://ayaanrustagi.github.io/deja/ Privacy: https://ayaanrustagi.github.io/deja/privacy.html Source: https://github.com/ayaanrustagi/deja