Slop Goggles — LinkedIn AI Slop Filter
Overview
See through the AI slop on LinkedIn. Flag it with a score, hide it, or roast it — and see how much of your feed is machine-made.
See through the AI slop on LinkedIn. Your feed is full of it — the "delve"s, the "in today's fast-paced world"s, the ✨emoji bullet points✨, the "Agree? Repost ♻️". Slop Goggles scores every post for the tell-tale signs of AI-generated filler and shows you exactly how much of your feed is machine-made. Then it does what you tell it to: 🚩 FLAG — badge each post with a slop score (0–100). Click to see why. 🙈 HIDE — collapse the slop and reclaim your feed. 🔥 ROAST — replace it with AI SLOP AI SLOP AI SLOP. See your number: "X% of your feed was AI slop." WHY IT'S DIFFERENT - It shows its work — every score breaks down into the exact tells it caught. - It's conservative — real human posts almost never trip it. - The score runs on your device. SLOP WATCH — the community leaderboard Report the sloppiest accounts and watch them climb a public board. Earn ranks from Slop Spotter to Slop Legend. Account names are redacted, and anyone can request removal. DEEP SCAN (optional) Want proof, not a heuristic? Deep Scan runs a post through a real AI detector. Slop Goggles flags content patterns from public posts — estimates, not proof, and not a judgement about any person.
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Details
- Version1.1.0
- UpdatedAugust 7, 2026
- Offered by1320 GROUP
- Size80.48KiB
- LanguagesEnglish
- Developer
Email
1320GROUPLLC@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
Slop Goggles — LinkedIn AI Slop Filter has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Slop Goggles — LinkedIn AI Slop Filter handles the following:
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