Juno: Product, 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. The task is to 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. It also 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. Instead, the owner 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. He 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 widened the market: 25 versions between 21 January and late October 2026. A translation of the app into 52 languages did the same, without a team.

Solo founder · 12 months after launch, revenue growing

It serves one narrow job, turning a statement PDF into clean rows, and it grew through pages written for single banks. The founder wrote in March 2026 that almost all clicks come through those bank pages. A free tier and a small credit pack let people try it before they subscribe.

Solo founder · 23 months after launch, revenue falling

It does one narrow job and returns the same fields for every document. A developer or an automation builder can call it without writing a parser. It sells credits by the page, and a credit pack needs no subscription. Revenue is small, and the verified record shows it falling from its January 2026 peak.

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. This 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 · 28 months after launch, revenue growing

The commercial founder spent six years at Amazon on catalogue quality and country launches. So he knew the cost of listing content and could sell to people he had worked with. His co-founder, an AI researcher, built the first version on Stable Diffusion over one weekend in late 2022. This was before most sellers had heard of image models.

Team of 2 to 10 · 42 months after launch

Two Austin co-founders bet that lawyers would accept a video recording plus an AI transcript as the official record. One is a trial lawyer and the other a business executive. The reason was that federal and most state rules have allowed non-stenographic depositions for decades, and court reporters are scarce. The lawyer founder could explain those rules to other lawyers, and attorneys became both early customers and investors.

Started small, grew after funding · 50 months after launch

Payment companies must check every merchant before and after onboarding, and card networks fine them when a merchant sells banned goods or launders transactions. The founders started with an open-source toolkit for these checks in 2022. They then moved to AI agents that do the analyst's research. The company says its Mastercard certification can reduce fines.

Team of 2 to 10 · 36 months after launch

Subscription publishers know how many subscribers they lose, but their CRM tools report opens and clicks, not whether a campaign kept anyone. Subsets sells the missing step. It is a test with a control group, measured on retention and lifetime value. A commercial team can run it without data scientists or engineers.

Started small, grew after funding · sold 11 months after launch

Its founders wrote some of the methods that the industry already used to run models cheaply, such as AWQ for 4-bit weights. They turned that research into a paid serving API. They proved the speed on a public benchmark and partnered with a cloud company that needed exactly that speed. Eleven months after its first public post, the partner agreed to buy it.

Solo founder · 33 months after launch, revenue falling

The app costs almost nothing to run: the owner reports a profit margin of 99%. The App Store page shows no new version since July 2025. A small, steady flow of downloads, about 2,500 in 28 days in October 2026, keeps about 150 paid subscriptions alive. The owner is an experienced app marketer who already sells more than a dozen other apps from the same developer account.

Solo founder · 4 months after launch, revenue falling

The founder turned the go-to-market frameworks she uses as an advisor into a product with one job and one price. It is a small, early business. Stripe data shows US$500 of revenue in its first four months and two active subscriptions in November 2026. The founder has listed it for sale.

Team of 2 to 10 · 11 months after launch, revenue flat

The site ties a cruise chat product to a creator with a social audience. It says the tool is led by her experience of living, working and travelling at sea. The first verified payment came in January 2026, the month after the start date on TrustMRR.