Test your product with users
who behave like yours.
AI agents run your live product as personas shaped by your PostHog data. You get a ranked report of where users got stuck. In minutes, not weeks.
Watch what Power User sees, thinks, and does in real-time
Looking at the dashboard...
Processing...
Ready.
Shipping is faster than testing with users.
You ship blind because you have to.
AI made shipping cheap. Real-human user testing didn't get cheaper. Most B2B teams skip it before launch and find the bugs after their customers do. We've been on that team. It takes a week to fix what should have taken a day.
Why our simulated users behave like real ones.
Real browser. Real-user data. Real eye-tracking sessions.
A real browser on your live product.
Unblo agents click through the actual site you ship, not a Figma file or a screenshot. They handle redirects, form errors, and real-product weirdness, because it's a real browser.
Personas based on your real users.
Connect PostHog. We profile how your users actually navigate, where they pause, where they bail. Your personas come pre-loaded with that behavior, not made up.
See where attention drops off.
Most AI sees every pixel equally. Ours doesn't. Our attention model is trained on 6,000+ real eye-tracking sessions, so it predicts what users actually look at, and what they miss.
Three steps to set up.
First report in under thirty minutes.
No Figma upload. No recruiting. No scheduling. You connect PostHog, name a goal, and watch agents try to get there.
Connect PostHog
Read-only access to your event data. We use it to learn how your real users actually behave. Nothing leaves your tenant.
Pick or generate personas
Paste descriptions you already have, or we generate them from public information about your customers and link them to your PostHog data.
Paste a URL and a goal
Like "sign up" or "finish checkout." We run a swarm of agents on the live page. They narrate what they see, think, and do.
Get a ranked friction report.
Where simulated users got stuck, scored against Nielsen's 10 usability heuristics. Each finding includes the persona's own words. We also include recommendations on what to fix.
Cheap enough to run before every major release.
We're shaping pricing with our first customers. Book a demo and we'll find a plan that fits how often you ship.
Things skeptics ask first.
AI agents aren't real users - how is this trustworthy?
Personas don't come from imagination. They're shaped by your real PostHog interaction patterns: which clicks succeed, which buttons get ignored, where flows break.
Reports follow Nielsen's 10 usability heuristics and rank issues by severity, the same way a human researcher would. We tell you which findings are critical and which are minor, with the data and screenshots to back each one up.
Doesn't this just hallucinate plausible-sounding feedback?
Agents act on the live DOM, not imagined screenshots. Every reported issue is tied to a specific page state and a specific action, which you can replay step by step.
How is this different from Synthetic Users, Uxia, or Maze?
Three things, in order of how much they matter:
- We run on your live product in a real browser. Synthetic Users and Uxia score static screenshots, which can't catch redirects, form validation, or anything that depends on real product state.
- When PostHog is connected, the way personas interact with the site is aligned with their real movements, not generic archetypes pulled from a panel.
- Our attention model is trained on 6,000+ public eye-tracking sessions, so we don't pretend every pixel is equally visible.
Maze runs with real participants, which is still the gold standard for big bets. Unblo is what you reach for in between. Every push, every iteration, before things hit the customers you can't afford to interrupt.
How long does setup take?
Connect PostHog (read-only, ~2 minutes). Pick or generate personas. Paste a URL and a goal. First report typically lands in under 30 minutes.
About us.
Antoni Gruca CEO
Took Stonly's AI product from zero to Fortune 500 companies. Owns product, design, and AI context engineering at Unblo.
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Łukasz Pszenny CTO
Built the eval system that measured Stonly's AI quality. Owns the backend, AI model training, and the gaze-prediction model.
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