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Sniffs out AI slop in your feed. Heuristic scoring for posts and comments on LinkedIn, Substack, and X (Twitter). slopstop highlights posts and comments that read like they were written by AI. As you scroll LinkedIn and Substack, slopstop scores the text of each post or comment against a set of heuristics — formulaic phrasing, em-dash density, hedge words, "It's not just X, it's Y" patterns, and similar tells — and shows a small colored badge inline with the content: • Green (0–29): likely human • Yellow (30–59): mixed signals • Red (60+): likely AI-generated Hover any badge to see exactly which signals fired and how it was scored. Where it works • LinkedIn — feed posts, reposts, and comments • Substack — full posts on /p/ pages, comments, and Notes What it does NOT do • No data ever leaves your browser. There's no server, no telemetry, no account. • All scoring runs locally as you scroll. • The only thing stored is your on/off toggle (chrome.storage.sync). Honest disclaimer Heuristics aren't proof. Polished, formulaic human writers will trip false positives, and a careful prompter can write below the threshold. Treat the badge as a smell test, not a verdict — that's why every score links to its reasons. Permissions • storage — to remember whether the extension is on or off • activeTab — so the popup can read the score totals from the current tab Open to feedback. If a badge looks wrong, the reasons shown on hover will tell you why — that's usually the fastest way to suggest a heuristic to add or relax.
May 26, 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.