Newton: Product, team and how it was built

Team of 2 to 10 · 21 months after launch, revenue growing

The two founders first ran an AI calling agency for any industry, which barely covered costs and lost customers. In January 2025 they narrowed to one niche, allied-health clinics on one practice system, and built deep booking integrations and local-accent voices for it. The co-founder said that customers called the first price cheap, so they raised it.

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 · 8 months after launch, revenue growing

One founder's mother is a doctor, her clinic was the first user, and the founders say they spent years inside clinics before building. The founders say that, instead of one narrow tool, their engineers assemble reusable workflow blocks for each practice in days, so a practice can start with one painful task and add more. The founders said in June 2026 that 80% of growth came by word of mouth.

Team of 2 to 10 · 6 months after launch, revenue growing

The three founders ran a dental marketing agency and their own call center for two years before they built the product, so they knew where clinics lose patients: calls that go to voicemail after hours, and insurance questions that need a call back. They connected the voice agent to the clinic software that already holds the calendar, and added live insurance verification, which they say no other system did during the call.

Team of 2 to 10 · 4 months after launch

The founders had worked inside healthcare billing before, so they knew that insurance follow-up calls are a large, repetitive and expensive part of the work. A voice model can now hold this kind of short, scripted business conversation. The company sells to health systems and billing firms through pilots, and the founders said in November 2025 that every pilot had become a paying customer.

Team of 2 to 10 · 11 months after launch

The founders say that setting up this kind of database by hand takes companies two to three months per trial, and that clinic staff spend hours typing records into it. Harbor turns the protocol into a draft database in about 10 minutes and the paper records into form entries with a confidence score for each value, so a small sponsor can start a study in days.

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

Four owners of marketing agencies built it for their own clients, who asked whether AI recommended them. They launched it with plans made for agencies and a 30% lifetime commission for agencies that resell it. The average subscription now pays about US$206 a month, close to the price of the agency plans.

Solo founder · 25 months after launch, revenue flat

It started as a free Chrome extension that the founder built for his father, then sold unlimited dictation everywhere for a low monthly price. The AI model is cheap to rent: Groq lists Whisper at US$0.04 to US$0.111 per hour of audio. Users came from Google: the site has more than 1,000 pages, one for each app and each need, and the founder says that an AI agent he made writes the blog posts.

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 · 8 months after launch, revenue falling

Filling in the same facts on every employer's application form, and rewriting a resume for every job, is the slowest part of a job search for students and new graduates. The founder had already built a growth system for her first app: hundreds of paid short-video creators trained with her own course. She moved the same system to a job app, aimed at college students and recent graduates, who she says have more buying power than her beauty app's users.

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 that works with a large, fast-changing body of rules and had not yet adopted AI, and 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.

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, with a money-back guarantee on the larger packs. 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: 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, and 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, 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.