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DevHorrors
Catch AI-Hallucinated & Slopsquatted Code
Your front-line defense against slopsquatting and malicious AI-generated dependencies, featuring live threat feeds, horror-story reporting, and instant vulnerability scanning for your project stack.
Top comment
Hey folks! Sharing something I've been working on. Like a lot of devs lately, I've been seeing more cases of "slopsquatting": AI coding assistants confidently suggesting package names that look real but don't exist, which then get registered by bad actors. A few have already made it into production package.json/requirements.txt files. So I built DevHorrors, a free scanner that checks your manifest (npm, PyPI, Go, RubyGems) against a curated database of known hallucinated, typosquatted, and malicious packages. It also has a "Roast Engine" that gives you a (darkly humorous) security critique of your dependencies, alongside the actual remediation steps. What it does: - Paste/upload a manifest or repo → instant risk report per dependency - Hallucination-confidence scores and the legitimate package to swap to - A public threat feed + community "horror stories" from devs who got hit - Free API + CLI for CI/CD It's free to use; there's a paid tier for team monitoring, Slack/Discord alerts, and GitHub PR blocking. I'm genuinely curious how others are handling this — is anyone here actively checking for AI-hallucinated packages in their pipelines, or relying on registries to catch it? Site: devhorrors.com · would love honest feedback, especially on what's missing for your stack. Thanks! Have a good day!
About DevHorrors on Product Hunt
“Catch AI-Hallucinated & Slopsquatted Code”
DevHorrors was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #150 on the daily leaderboard. Your front-line defense against slopsquatting and malicious AI-generated dependencies, featuring live threat feeds, horror-story reporting, and instant vulnerability scanning for your project stack.
On the analytics side, DevHorrors competes within SaaS and Security — topics that collectively have 46.4k followers on Product Hunt. The dashboard above tracks how DevHorrors performed against the three products that launched closest to it on the same day.
Who hunted DevHorrors?
DevHorrors was hunted by Mary Rose Oh. 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 DevHorrors including community comment highlights and product details, visit the product overview.