AI made it insanely easy to build and ship products.
But it also made it insanely easy to ship broken UX.
I keep seeing the same patterns across products:
confusing pricing
vague or misleading CTAs
missing trust signals
weak consent flows
Not because founders are trying to be shady.
Because they’re moving fast.
But the outcome is the same:
users hesitate
conversion drops
trust erodes
and sometimes it crosses into compliance risk
Bad UX is no longer just a design problem.
It’s a revenue problem. And increasingly, a legal one.
So I started building something.
A tool that scans your live website and flags:
UX patterns that hurt conversion
trust gaps
potential compliance risks
Think of it as a pre-launch risk check for your product.
I’ve been testing this manually + with lightweight logic and the patterns are kind of wild.
Things people don’t even notice are quietly costing them users.
Now I want to go deeper:
crawl real product flows
scan multiple pages
analyze rendered experiences (not just static HTML)
get this running properly with Puppeteer / browser-level analysis
If you’re building something, happy to run a scan for you.
Also — I’m looking for a technical cofounder to help accelerate this.
Someone who:
enjoys building fast and going deep
has experience with scraping / Puppeteer / browser automation
is excited about AI + product
This feels like a very real category in the making.
If this sounds like you (or you know someone), DM me.
Screenshot api + Google Gemini pro to do a visual analysis + HTML crawling based on my framework.
Hey, how are you doing this crawling at present? Seeing a lot of issues around getting consistent data.