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A B2B app that turns the mechanic's inspection into an estimate the car owner can approve from their phone — pre-sold as three 5K lifetime licences before a line of code existed.
about €20,000 in government grant money on top · an angel syndicate lined up a half-million-dollar round subject to accelerator graduation
"Three out of three said: yes, Patricia, take my money and build it — and build it faster." She was selling prototype number 26, and it was made in PowerPoint.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
Donatas Jonikas tells the Auto Pixie story on stage at a software developers' conference, partly because it embarrasses the room. The founder, Patricia, is Irish, was over 60 when she started, and is not a developer. Her product is a B2B app for auto repair shops. The problem she went after is a bay-occupancy problem dressed up as a communication problem. A customer brings a car in, the mechanic inspects it and then has to stand there explaining why it costs what it costs. The customer says that sounds expensive, maybe they will get a second opinion — and meanwhile the car sits in the garage and the shop cannot work on anything else. Auto Pixie moves the explanation into an app: the mechanic sends the diagnosis to the owner's phone, brakes flagged red as compulsory, parts priced, labour priced, with the option to bring your own parts. The owner gets a fast yes or no, and the bay clears. Around that sit two more pieces. Invoicing and payment happen in the app, because a mechanic with oil to their elbows is not writing invoices. And it keeps customers coming back — birthday greetings, reminders for a scheduled check or a tyre change. Before any of it was built she interviewed 106 auto repair shops in five countries, some of the owners five or six times, and built 26 prototypes in PowerPoint. Prototype 26 was the one she sold.
Her customer list and her research list were the same list. She interviewed 106 auto repair shops across five countries, and she did it as a deliberately global exercise rather than an Irish one — she wanted an app that worked for mechanics anywhere, so she went and asked mechanics anywhere.
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Data credibility: Told second-hand from a conference stage: Donatas Jonikas, a marketing consultant who coaches SaaS founders, is recounting the story of a founder he worked with, so every figure is creator-reported and nothing is documented on screen. The 106 interviews, five countries, 26 prototypes, three lifetime licences at 5K, the roughly 15K she held herself and the 30K build estimate all come from his telling. The currency of those figures is never spoken — only the roughly €20,000 government grant is explicitly in euros — so we report the licence price as a bare number. The accelerator is described as one of the world's top US accelerators but is not named, and the half-million-dollar angel investment is described as prepared and conditional on graduation, not as money received. We have not verified that the product shipped or what it earns today.
She priced the build before she priced the product. Her estimate was that it would take 30K to make, and she had roughly 15K of her own, so she needed 15K from the market.
The first loop was funding, not usage. Three paying customers converted into a government grant, the grant into credibility, the credibility into an accelerator place, and the accelerator into a half-million-dollar syndicate offer.
Twenty-six prototypes means twenty-five of them were wrong.
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