The problem
Users click things that look clickable and aren't. Every dead zone is silent frustration you only discover in analytics — weeks after launch, if ever.
Premium · à la carte
Rage Click Predictor
Find the dead zones before your users do.
Simulates thousands of confused users against your UI to predict where real ones will rage-click — before you ship.
The actual Rage Click Predictor module — same theme, same layout as the app. Example data.
The problem and how sSystm solves it
How sSystm does it
The Rage Click Predictor simulates a crowd of confused users against your interface on Workers AI, surfacing the elements that invite clicks but do nothing. Fix the dead zones while they are still cheap to fix.
What Rage Click Predictor gives you
Built deep, so the module actually carries the weight of real client work.
01
Simulated confusion at scale
Thousands of simulated user interactions probe your UI for click-magnets that lead nowhere.
02
Dead-zone map
A concrete list of elements that look interactive but are not — ranked, so you fix the worst first.
03
Pre-ship, not post-mortem
Run it on wireframes and builds before launch, instead of reading rage clicks in analytics after.
04
Runs on Workers AI
Simulation runs on Cloudflare Workers AI — no tracking scripts, no user data involved.
Your AI, via MCP
A predictive QA lens: the module simulates and reports, your team decides what to redesign. No production users were harmed in the making of these findings.
How the human gate worksRage Click Predictor · Premium — à la carte
Put Rage Click Predictor
to work.
Join the waitlist — when your spot opens, your workspace is provisioned on your own Cloudflare account and you switch on the modules you need. Find the dead zones before your users do.
When you're in: no email, no password — one Cloudflare grant · core workspace free · your data lives in your own account