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Pipe a company's messy data in and automatically tell them what to fix next — start done-for-you, productize later.
done-for-you (revenue undisclosed)
Don't write code first: clean people's data by hand in Excel, hand them a scorecard, take the money — and only automate it into a SaaS once you actually know the workflow.
Fewer bars = easier, cheaper, or faster for an AI-assisted solo builder. Editorial judgments based on the case details.
In Dan Martell's "How to Build a $10M Solo AI Business" — an episode on solo-AI-company methodology — almost everything is framework and pep talk. The one concrete, nameable case with a real person attached is Precision, built by his friend Matt. Dan uses it to knock down a common misconception: you don't need to write a pile of code first. Matt is technically strong and has already sold a company, but Precision's first version wasn't some complex, data-driven, automated AI platform — it was a spreadsheet. Matt used that spreadsheet to talk to customers, validate their problems, and assemble a batch of early adopters, effectively simulating the entire product before writing a single line of code. Precision today gets described as "a powerful platform where businesses plug in their data and it tells you exactly how to fix whatever problems show up," but its starting point was low enough that anyone could copy it. That's precisely why it's worth cataloging: it isn't a finished product to admire, it's a path to walk.
Matt's first version of Precision was a spreadsheet, and he used it the way most people use a working demo: to talk to customers, validate that the problem was real, and assemble a group of early adopters before anything was built. The sequence Dan Martell lays out around that is ten conversations, not ten pitches.
The quick-reference card — acquisition channels, replication playbook, and risk map — is members-only.
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Data credibility: Dan Martell presents his friend Matt's Precision as a case study, stating it is now an AI-automated data platform, but gives no revenue figure whatsoever; the $2,500/mo is purely the done-for-you pricing template he demos, not the company's actual revenue. Do not treat this as verified. All revenue figures are founder-reported or estimated by the video creator — unaudited.
The money came before the software. Matt cleaned up a client's data, pulled all of it into a CRM by hand, cleaned it in a spreadsheet, and presented the scorecard Precision now generates with AI — "that's all he did, and he made money without any software."
The flywheel here is margin, not virality. Every manual delivery teaches the workflow, and every step of that workflow you automate comes off the labour bill permanently.
This method is built to keep the silent stretch short. Nobody codes for a year on spec.
The rest of this breakdown — 10 more sections — is in the Unicorn Club, with every section of all 1,335 ideas: first customers, first dollar, the flywheel, and the silent stretch.
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