Mazo: Revenue, team and how it was built

Team of 2 to 10 · 32 months after launch, revenue falling

It sold one promise that a customer can measure: a first reply to every new lead within 10 seconds, to businesses that already pay for many leads through Meta ads. A demo on the website brought sales calls through organic search before the product was built. Revenue then fell from US$9,000 to US$12,000 a month in late 2025 to under US$2,000 in September 2026, in the same months in which the founder launched other products.

Team of 2 to 10 · 3 months after launch

One founder was a device sales rep who built the tool for his own territory first, so the first customers came from his own industry contacts. Medical aesthetics is paid in cash by patients, so there is no insurance claims data that the usual healthcare sales tools sell. The founders sell to a few large customers, run the support and research work with AI agents instead of staff, and took no outside money.

Started small, grew after funding · 12 months after launch

Sales reps usually learn on real prospects, which costs the company leads. The founders turned role-play, which normally needs a manager or a colleague as partner, into a short daily exercise on the phone, and Charaniya described it to Hypepotamus as the "Duolingo for sales". The company then moved up from single reps to sales teams in solar, home services, insurance and car sales, where each rep is a paid seat.

Team of 2 to 10 · 1 months after launch

The founders cut a hard idea, an AI that understands a whole software product, down to a smaller one: an AI that only has to show the product. Co-founder Toni López told Valencia Plaza that the product launched during Y Combinator, gave 2,000 demos on its first day and reached US$31,000 in monthly recurring revenue in three weeks. That is one founder statement, reported once.

Team of 2 to 10 · 7 months after launch, revenue growing

Home-service companies spend evenings driving to free estimates for jobs that never close. A video recorded by the customer lets them see the work first and visit only the serious leads. FormVue started as a self-serve tool for single contractors in 2025 and by 2026 sold mainly to franchise systems and product manufacturers through demos.

Team of 2 to 10 · 24 months after launch

The founder had sold two machine-vision companies, lost a third to COVID and spent six years as a consultant, where sellers always refused to type data into the CRM. He coded a tool that fills the CRM itself, charged from the first day, sold lifetime deals on AppSumo at a loss to recruit testers who never cancel, and turned the launch sites' freelancers into affiliates. In July 2026 he told Indie Hackers that monthly recurring revenue had five digits.

Team of 2 to 10 · 17 months after launch

In complex B2B software sales, the account executive often cannot answer a technical question and promises an answer from an engineer next week. DeltaGen answers from the seller's own documentation within about three seconds, so the rep can answer on the same call. It sits on the rep's screen and joins no meeting as a bot, which the company sells as its main difference from tools such as Gong.

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 · 8 months after launch

Said close to US$10M a yearRecords US$4.6M from subscriptionsDid not hold

The founder made his own fundraising the advertisement. In February 2026 he let the product answer investor emails in public, next to a live revenue counter. A new customer needs only an idea, so thousands of people tried the product each day. The counter annualized all money that entered the platform, so it grew faster than the subscription revenue.

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, built it in three weeks, and showed finished designs on X before the launch. Each new Gemini model gave them a better result and a new demo to post.

Solo founder · 35 months after launch, revenue falling

The founder released it as a free open-source tool nine days after he wrote that the new GPT-4 Vision and Turbo API previews allowed only 100 requests a day. Hacker News and GitHub trending brought the repository more than 35,000 stars in under three months, and the README sends readers on to the paid hosted version for people who do not want to set up keys and servers. It had made US$1,000 within 19 days, with a Stripe payment link and no user accounts.

Team of 2 to 10 · 14 months after launch, revenue growing

Johnny Siu had led tenancy services at Goodlord, a UK rental software company, and saw property teams spend their days on the same messages. Antler's partner wrote in October 2024 that 87% of tasks in the industry are repetitive and low-skill. Tenants already wrote on WhatsApp, so an AI that answers there, inside the operator's own policies, saves staff time without asking the operator to change systems.

Team of 2 to 10 · 38 months after launch

In the United States many medicines need the insurer's approval before the pharmacy can fill them, and that approval still means forms, faxes and phone calls. The two founders had worked at healthcare software startups and built a system that reads the insurer's rules and the patient's chart and does the form work. The Lean AI Leaderboard listed it at US$6 million a year with 5 employees in March 2025.

Team of 2 to 10 · 6 months after launch

The founders are lawyers who built the legal departments of two Berlin startups, and 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, and 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.

Started small, grew after funding · 9 months after launch

Large companies run many HR systems that do not share data, so a single case such as a new hire passes through several of them by hand. Ahron does not replace those systems; it connects to them, measures where cases wait, and places agents there. The founders had sold an earlier HR software company, and the product is built on Celonis, a Munich process-mining company whose partnership, the founder says, brings in requests from around the world.