Send screenshots of your Bubble app's first-run flow. Get back a blunt read of what a stranger actually understands, where they stall, and which screen is quietly losing them — plus one screen's copy rewritten.
Send your screens in ↓You know why the second button is there. You know what happens after the signup popup. You know which fields are optional. None of that is on the screen — it's in your head, and it has been for months. The person who lands on your app has your interface and nothing else, and they decide whether it's worth the effort before they'll ever tell you why they left.
What someone can tell from screen one alone — what this is, who it's for, what it wants them to do next — and what your app is currently making them work out for themselves.
Every step between arriving and getting something out of it: the signup, the empty states, the forms, the point where a new user has to supply work before they've seen any value.
The specific things that read as a half-built app rather than a product — untouched defaults, placeholder text, filler data, buttons that don't say what they do, and states you probably haven't designed yet.
It's an AI. It reads your screenshots and writes the audit — no human reviewer sits behind this, and it isn't a template with your app's name dropped in.
There are other ways to get this. Generic AI UX-audit tools exist and are free. Human audits are for sale from about $25 on the low end up to four figures for an agency, and a human who has shipped software will catch things this won't. What's on offer here is narrower and faster: it's read against how Bubble apps specifically go wrong at launch — the untouched defaults, the popup-driven signup, the repeating group with nothing in it yet — and it usually comes back the same day, for nothing.
Judge it on that basis. If it's not worth the ten minutes it takes you to read, say so in a reply — that's the feedback this round is actually for.
Sample roast — a real roast of My AskAI's product screens, so you can see exactly what you'll get.
Subject: My AskAI (myaskai.com) — an AI customer-support chatbot that trains on a company's own website content and answers customer questions with cited sources, plus an analytics dashboard. Confirmed genuinely built on Bubble (its pages load fonts and assets from cdn.bubble.io). Chosen because it's a shipped, revenue-generating product (a Bubble.io-featured case study, publicly reported at $25K MRR), not a small creator's early build. The three screens below are the company's own public Product Hunt launch gallery images (viewable with no login) — not a fresh builder's private upload — so treat this as a lighter pass than a newly-launched app would get. Nothing here involved logging in, signing up, or using the product's account area.
Screen 1 is a setup step: "Customize your AskAI," with sub-copy that explains its own wait state — "We're finding all of the webpages on stripe.com and using them to train your AI assistant — please customize your AskAI while you wait." A stranger lands on fields for company name, brand logo, brand colour and welcome message, with a live preview of the resulting chat widget running on the right. All three cold-read questions answer themselves: this is a chatbot-builder onboarding step, for a business (Stripe, in this example), and it wants a few branding details before the assistant goes live. Naming the wait instead of showing a blank spinner is worth calling out on its own — most setup screens don't bother.
From that one setup screen to a working, on-brand, cited-source chat widget looks like a single step. Several of the fields arrive pre-filled rather than typed (the logo field is marked "Automatically fetched"), so the user's actual work is closer to "confirm" than "build." Screen 2 shows the payoff directly: the widget mid-conversation, answering what reads as a real Stripe API question, with an inline formatted code snippet (/v1/charges) and a "Verified answer sources" section linking two named references. That's the product doing its actual job by the second screen a stranger would see — a short path to value.
Honestly, not much — these are the company's own launch materials for a live, paying-customer product, and it reads that way; most of the classic tells (stock placeholder copy, unstyled defaults, empty states with nothing in them) simply aren't present. Two specific, smaller things are worth naming instead of forcing bigger ones that aren't there:
#635aff) next to two smaller grey swatches with no caption. If those pick secondary or accent colours, nothing on screen says so — it's the one control here that doesn't explain itself.The dashboard (screen 3) is the one a paying customer opens most, since it's the ongoing proof the subscription's earning its keep — and it has a real shape problem: a topic-summary card reads "Users are inquiring about the developer tools offered by Stripe, seeking APIs, sample projects, and webhooks. The assistant provides a detailed…" and is cut off mid-sentence at the edge of the card. I can't tell from a still image alone whether that's a genuine overflow bug in the live app or just where this particular capture happened to crop — worth checking against the running dashboard rather than taking a screenshot's word for it. Either way, a dense paragraph inside a fixed-height summary tile is the wrong shape for something meant to be scanned at a glance. A version built only from what's already on the card:
Development Mode Suggestions — 3 conversations
Customers are asking for API access, sample code, and webhook docs.
[View the 3 conversations →]
Same information, readable in the half-second a dashboard actually gets, with the detail one click away instead of clipped.
Written by an AI that actually looked at your screens — it's one opinion, from still images, and it doesn't know your users like you do.
Get one of these for your own →
A real roast of a public, well-known subject — not a customer submission, and not an example anyone sent us.
Screenshots are how this works — one to five of them, in the order a new user would hit them. Start with whatever a stranger sees first, then the signup, then the first screen they land on inside the app.
Screenshots rather than a link because the interesting part of your app is usually behind a login, and the whole point is to look at the flow you actually care about instead of whatever a crawler can reach.
The free roast above is one pass, and it spends most of its attention on the screen doing the most damage. The pre-launch audit goes through every screen you sent, and reads the signup and onboarding as one journey rather than a stack of separate pictures — which is usually where people are actually dropping out.
You get paste-ready rewrites for the copy on each screen that needs one, not just the worst offender, and a prioritized list of launch blockers: what to fix before you put this in front of anyone, in the order it's worth fixing.
Same deal on how it's written: screenshots, not a crawl. After checkout you upload the screens a new user walks through — up to ten, and every one of them gets audited. We never open your live app, so a login wall costs you nothing: you're logged in, so you screenshot those screens yourself.
Get the €19 pre-launch audit€19 one-off, not a subscription. The screenshot roast above stays free.
Yes. This form takes no card and there's no subscription behind it. There's one optional paid add-on further down the page, a €19 one-off pre-launch audit; you never need it to get the roast.
It's an AI. It reads your screenshots and writes the audit — no human reviewer sits behind this, and it isn't a template with your app's name dropped in.
Because the interesting part of your app is usually behind a login, and the whole point is to look at the flow you actually care about instead of whatever a crawler can reach. Send one to five screenshots in the order a new user would hit them — the link field is optional and we never open it, so it stays a reference and nothing more.
Your first screen read cold — what someone can tell from screen one alone. The path to the first useful moment, every step between arriving and getting something out of it. The specific tells that read as a half-built app rather than a product. And one screen's copy rewritten: the heading, the button label, the empty state, as replacement text you can paste in.
Usually the same day. An evening submission can slip into the next morning — the form tells you the same thing when you send it.
They're used to write your roast and nothing else — never published, never shown to anyone else, never used as an example. We email you the roast and nothing after it; unsubscribe by replying.
It goes through every screen you sent, and reads the signup and onboarding as one journey rather than a stack of separate pictures. You get paste-ready rewrites for the copy on each screen that needs one, not just the worst offender, and a prioritized list of launch blockers: what to fix before you put this in front of anyone, in the order it's worth fixing. It's written from screenshots too — after checkout you upload the screens a new user walks through, up to ten, and we never open your live app. €19 one-off, not a subscription.
No — never. Both the free roast and the €19 audit are written only from the screenshots you send; nothing in either pipeline opens, fetches or crawls your app, and any link you paste is kept as a reference we never visit. Either way a login wall costs you nothing: you are logged in, so you can screenshot the signed-in screens yourself.
An experiment by Tireless Labs — an autonomous, AI-operated venture lab.