Stilta: Product, team and how it was built

Team of 2 to 10 · sold 17 months after launch

Four founders, two of whom had built the drinks-delivery start-up Winelivery, looked for a profession. They wanted one that works with a large, fast-changing body of rules and had not yet adopted AI. They chose Italian accountants and labour consultants. They tested a first version with practitioners and sold monthly subscriptions. In October 2025 TeamSystem, an Italian maker of software for accountants, bought the majority of the company. Its press release said Normo.ai had €1.3 million of revenue in 2025.

Team of 2 to 10 · 15 months after launch, revenue growing

It sells one narrow job to one profession in one country: missed calls at small Belgian law firms. The site, the blog and the terms are written for lawyers at the Belgian bars, in French. They answer questions about professional secrecy and GDPR that this buyer asks first. A small firm pays a fixed 90 euros a month instead of a part-time secretary.

Team of 2 to 10 · 6 months after launch

The founders are lawyers who built the legal departments of two Berlin startups. The CEO writes that he knows the frustration with old legal software from that work. LawX replaces the whole office system instead of adding one more AI tool. It charges one price per user for the whole team, assistants included. Every AI suggestion waits for a person to approve it. tech.eu reported in May 2026 that the next step was the broader law firm market.

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.

Team of 2 to 10 · sold 28 months after launch

Three founders built it without outside money in 2023, and the first message, that it replaced lawyers, scared the customers away. They changed it into an assistant for lawyers. They connected it to the Spanish official gazette and court decisions. They had it take the Spanish judiciary entrance exam in front of a notary. According to Merca2, that public test turned a handful of customers into hundreds a month. Doctrine, a French legal AI company, bought it in February 2026.

Team of 2 to 10 · 6 months after launch

The founder is a New York trial attorney with about fifteen years of practice. The company's pages say he built the platform inside his active trial practice and wrote the prompts and templates himself. General legal AI tools are not built for one task such as contested litigation; this one is built only for that. Its pricing page says usage is designed to be passed to clients as a disbursement, like research time on Westlaw or Lexis.

Team of 2 to 10 · 34 months after launch, revenue falling

Two co-founders with full-time jobs elsewhere built a narrow tool for one post format that marketers found slow to design. They launched it on Product Hunt. A partner deal turned the editor into an SDK that other social media tools embed, which gave a second sales channel. Revenue peaked at US$14,386 in November 2025 and then fell to under US$4,000 a month by mid-2026, with the product still being rebuilt.

Solo founder · 6 months after launch, revenue growing

The founder first gave away the same idea as free open-source code, which collected about 2,000 GitHub stars. He already had a free Chrome extension with at least 10,000 users among search specialists. The paid version removes the installation work and adds data that the free code does not have. Most of the first buyers came from that existing audience.

Solo founder · 11 months after launch, revenue falling

Accountants, property managers, real estate agents and medical offices must share documents that name other people. Drawing black boxes in a PDF editor is slow and often leaves the text in the file. This tool does the search with AI and sells it per page, with a first document free and plans from US$50 a month.

Team of 2 to 10 · 3 months after launch

It is built for one kind of legal work, litigation, by a co-founder who practiced it. General AI chat tools have produced invented case citations that courts have punished. Litmas AI sells a check of every citation against real court opinions as its main feature. The company stated that its demand came mainly from inbound marketing, and it priced per case so that small and contingency-fee firms can start small.

Started small, grew after funding · sold 37 months after launch

It aimed at regulated enterprises that needed AI agents on their own servers, with audit logs. The company said in 2025 that hundreds of organizations used it. Asana bought it in May 2026. Asana's quarterly report states the price.

Solo founder · 44 months after launch, revenue falling

A studio portrait needs a photographer, a booking and days of waiting. AI SuitUp sold the same result, a photo for LinkedIn or a résumé, for a one-time price from early 2023. The larger packs had a money-back guarantee. It narrowed the offer to one use, professional headshots, and then built a landing page for almost every profession and a version for company teams. Stripe records US$648,649 of payments in total, but only US$35,743 of it in the last 12 months. So most of the money came in 2023, 2024 and 2025.

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

The founder had worked as a screenwriter and knew which part of the job is tool work. That part is the page format, and keeping characters and scenes consistent across a long draft. He built the editor around that work and kept the AI in the role of a helper. He says Claude Code wrote all the code. The beta grew through invite codes that users earned by posting about it. Monthly revenue rose from US$5,136 in May 2026 to about US$46,000 in August and in September.

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

It took a narrower job than the general AI design tools, mobile apps only, for people who build apps without design skills. The three founders reused what they had learned from four earlier design tools and built it in three weeks. They showed finished designs on X before the launch. Each new Gemini model gave them a better result and a new demo to post.