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.

Rage clicks
ENSV
AJ
AI & Dev

RageClick Predictor

Powered by Cloudflare Workers AI — simulates 10 000 confused users and finds dead zones before they do.

Describe the component
A pricing card with a large feature list and a small '→' arrow icon at the bottom right as the only CTA. The card border glows on hover but the arrow doesn't change.
⌘↵ to simulate Run simulation
Real-world traps
A navigation bar where the logo image has no href attribute and looks like a clickable link. Below it is a 'Menu' text with no und…A settings page with a prominent toggle switch that controls dark mode. Next to it is a small grey 'Save' text that users must cli…A data table row that highlights on hover and contains an 'Edit' icon that looks like a link, but clicking the row itself does noth…

Das echte Rage Click Predictor-Modul — gleiches Theme, gleiches Layout wie die App. Beispieldaten.

Das Problem und wie sSystm es löst

Das 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.

So macht es sSystm

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.

Was Rage Click Predictor dir gibt

Tief gebaut, damit das Modul echte Kundenarbeit tatsächlich trägt.

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.

Deine KI, über 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.

Wie das Human-Gate funktioniert
Rage Click Predictor · Premium — à la carte

Rage Click Predictor
einsetzen.

Auf die Warteliste — sobald dein Platz frei wird, wird dein Workspace auf deinem eigenen Cloudflare-Konto eingerichtet, und du schaltest die Module ein, die du brauchst. Find the dead zones before your users do.

Wenn du drin bist: keine E-Mail, kein Passwort — eine Cloudflare-Freigabe · Kern-Workspace kostenlos · deine Daten liegen in deinem eigenen Konto