LedgerBox: 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 · 7 months after launch

Coloring pages are searched for in large numbers, and a child often wants a page that no artist has drawn. The founder wrote that he found coloring page searches with low competition and thousands of searches a month before he built anything, and he made free pages for those searches that lead visitors to the paid generator. The founder said in 2024 that most sales came from organic search.

Team of 2 to 10 · 16 months after launch, revenue growing

Every team that builds with AI models ends up with several provider accounts, keys, invoices and SDKs. One gateway with open code replaces them, and a developer can read the code before sending traffic through the hosted version. In 2026 the founders added DevPass, a flat monthly price for coding agents with an allowance of up to three times the price in model usage. The verified monthly receipts grew from US$57,994 in January 2026 to US$249,922 in August 2026; TrustMRR does not split them by product.

Solo founder · 25 months after launch, revenue falling

A normal chat window is one long thread, and a side question either breaks that thread or is never asked. The founder sold a fix for that one problem to heavy AI users. The subscription version earned little; the one-time licence that followed sold to many buyers, and Stripe data on TrustMRR shows US$131,070 in total. Sales then fell, because each one-time buyer pays only once.

Solo founder · 9 months after launch, revenue growing

Candidates for consulting jobs need dozens of practice cases, and the usual options are a free peer partner of uneven quality or a coach who charges US$100 to US$300 an hour. A language model can play the interviewer at any hour for US$49 a month. The founder wrote that the customers come from search: the sitemap lists 596 blog pages written for Google and for AI assistants.

Team of 2 to 10 · 21 months after launch

One founder had worked as a corporate lawyer and the team sold directly to law firms and banks that it already knew. The product was built on Indian court material, which global tools cover less well. Customers made it part of daily work: when the platform went down for maintenance, users called and messaged the team to ask when it would return.

Started small, grew without outside funding · 29 months after launch, revenue growing

The founders came from digital marketing agencies, and their first customers were people from the CEO's former agency team, who now work in the marketing departments of large Turkish companies. In 2026 the company rebuilt its dashboard product around the Model Context Protocol, so that general AI assistants can work on live ad data, and opened it to everyone with a free plan.

Solo founder · 6 months after launch

The founder is a home inspector who, the company says, paid for six separate tools that did not share data. He built one app for the whole job and lists a lower price than the market leader, Spectora. The AI tools write the paragraphs that inspectors otherwise type again for every house.

Team of 2 to 10 · 6 months after launch

The founders worked as dispatchers at home-service companies before they built it, and they say dispatch decides how much a shop earns but runs on gut feeling. The software assigns jobs by skill, location, availability and close rate instead of by who is free.