Your LinkedIn, Substack, and X feeds are filling up with AI slop. slopstop scores every post and comment for AI tells, live as you scroll — so you know what's worth your time.
Each post and comment gets a colored badge showing how likely it is to be AI-generated, on a 0–100 scale — before you waste a minute reading it.
Hover any badge to see exactly which patterns triggered the score: stock phrases, em-dashes, emoji-bullet structure.
The heuristic badge runs entirely in your browser — no post text leaves your machine. The optional AI detector only sends text when you ask it to.
Want a second opinion? Click Run AI detector on any post to score it with an ML model. Free for 5 checks a day when signed in; paid tiers raise the daily limit.
Install slopstop and start seeing AI scores on your very next scroll.
Add to Chrome — freeYes. The heuristic score badge runs on every post with no account and no cost. Sign in and you also get 5 ML-detector checks a day for free. Paid tiers only raise that daily limit — they don't unlock the core experience.
The heuristic badge runs entirely on your device — no post text is ever sent anywhere. The ML detector only sends a post's text when you click Run AI detector (or automatically on the Pro tier). Text is used for scoring and not stored. See our privacy policy.
LinkedIn, Substack, and X (Twitter) — feed posts, reposts, articles, Notes, and comments.
It's a hint, not a verdict. Heuristics flag patterns common in AI writing, so polished human writers will sometimes score high. That's why every score links to its reasons, and why you can run the ML detector for a stronger second opinion. Don't use it to make accusations.
No. Everything most people need is free. Paid tiers (from £3/month) simply raise the daily ML-detector limit, and the Pro tier runs the detector automatically on every post. You can install and use slopstop indefinitely without paying.
Free to install, no account required. Start spotting AI posts in seconds.
Want to self-host with your own AI-detector model? slopstop is open source — view the repo on GitHub.