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SlopDetector
A style linter, not an authorship detector
Paste text, see which patterns characteristic of LLM-generated prose it triggers, and where. Runs entirely in your browser. 20 categories, 95 patterns.
Large language models have a house style. It is measurable, it is documented in the peer-reviewed literature, and a good deal of it can be caught with regular expressions. Here is the full catalogue, the JavaScript to run it, and the false-positive numbers nobody publishing an "AI detector" wants to show you.
About SlopDetector on Product Hunt
“A style linter, not an authorship detector”
SlopDetector was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #97 on the daily leaderboard. Paste text, see which patterns characteristic of LLM-generated prose it triggers, and where. Runs entirely in your browser. 20 categories, 95 patterns.
On the analytics side, SlopDetector competes within Open Source, Writing, Marketing and GitHub — topics that collectively have 638.2k followers on Product Hunt. The dashboard above tracks how SlopDetector performed against the three products that launched closest to it on the same day.
Who hunted SlopDetector?
SlopDetector was hunted by JJ Halans. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of SlopDetector including community comment highlights and product details, visit the product overview.
JJ Halans