InsureCow: Revenue, team and how it was built

Solo founder · sold 17 months after launch

It solved one narrow and repeated task that every company has at the end of each quarter: find all invoices and give them to the accountant. It read the invoices where they already were, in the inbox and on supplier websites, instead of asking people to forward them, and it let customers write their own checking rules in plain language. Stripe data shows monthly revenue rising from US$12,631 in November 2025 to US$18,970 in January 2026.

Team of 2 to 10 · 33 months after launch, revenue falling

The product goes where the customers already are: a shop owner does not install a new app or learn accounting software, but writes into a chat. The founder wrote of having worked as a data scientist at a microloan company and of running a café, so the founder knew both the bookkeeping problem and the reason banks ask for records.

Solo founder · 19 months after launch, revenue growing

The founder, a digital nomad, had collected more than 1,000 receipts from many countries to track his own spending, and built the app for that use. It reads every line item instead of only the total, which matters for travellers with receipts in foreign scripts and currencies. Small, steady releases (25 versions between 21 January and late October 2026) and a translation of the app into 52 languages widened the market without a team.

Team of 2 to 10 · 24 months after launch

It picked work that large regulated companies had failed to automate for years and that tolerates almost no errors. Instead of letting a model decide each step, it turns the expert's procedure into fixed program steps, which makes the result predictable and cheap to run. A few large customers, sold directly, can pay for a very small team.

Started small, grew after funding · 25 months after launch, revenue growing

Every GmbH and UG in Germany must keep books, file VAT returns and produce annual accounts, and most pay a tax adviser's office to do it, the company's press release says. mika puts AI on the routine part, keeps people on the checking, and sells it as a monthly subscription that the price page lists from €49 net. It chose one narrow customer, the small limited company without its own finance staff, and the customer count grew from about 400 at the start of 2026 to more than 750 in September 2026, the company said.

Team of 2 to 10 · 7 months after launch

Chasing late invoices is repetitive work that finance teams do by hand in spreadsheets and email. Cleavr connects to tools that companies already use, such as Pennylane, Stripe and SAP, so a customer can start without a migration, and the company says setup takes under a day.

Solo founder · 37 months after launch, revenue growing

It launched the obvious application of a new model within weeks, with a pricing page on the first day. The founder built the parts around the model instead of a model, so every model upgrade improved the product for free. Then it moved from a consumer toy to business customers who stay.

Team of 2 to 10 · 45 months after launch, revenue falling

Said US$19K a monthRecords US$9.6K in JulyDid not hold

It appeared in January 2023 inside Google Slides, a program where people already work, when writing slides from one sentence was new, and users showed it to each other without paid advertising. A blog about presentation topics then brought about 80% of new users from Google search, by the founder's account. Both channels weakened: search traffic fell, and Google added the same function to Slides. The verified total is real, and so is the fall: monthly revenue fell by half between February and July 2026.

Solo founder · 6 months after launch, revenue falling

The founder was a LinkedIn ghostwriter with about 44,000 followers and a newsletter of about 17,000 readers, so he sold to an audience that already read him. He built the product around the interview that he used to do by hand for clients, instead of a text box that asks a model to write. The verified revenue grew from US$574 in April 2026 to US$19,343 in September 2026.

Team of 2 to 10 · 94 months after launch

It does one narrow task that a general speech recognizer does not do: it judges how well a learner speaks, not only which words were said. It sells that task to large learning platforms and test-preparation companies, which pay by the second of speech. The seller says the company raised about US$3 million, missed its first financial goals, and is now a small profitable business for sale.