Teacher Time Machine: Revenue, team and how it was built

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

The tutor is an AI model, so the company pays for computing and has no teacher to pay by the hour. That allows a yearly price of US$47.99 to US$79.99. Customers came from a very large number of short videos on TikTok and Instagram: first slideshows that the founder's own tool generated and that two people posted from about 12 accounts, then videos by paid creators. Yearly plans are paid in full on the first day, so the cash arrived early. Half of all revenue came in September 2026, and daily sales have fallen since.

Team of 2 to 10 · 20 months after launch, revenue growing

Seven years of research at a Norwegian university produced the method, the training data and the avatar before the company existed. The founder is the professor who led that research, the university licensed the technology to her company, and public bodies that must train staff in child interviews are the customers. The filed accounts show revenue of NOK 816,000 in 2024 and NOK 2,176,042 in 2025, at a loss.

Solo founder · 39 months after launch, revenue falling

It launched in July 2023, when the ChatGPT plugins for PDF stopped at about 300 pages and Myreader took a whole library. It sold a cheap subscription limited by pages and questions, and it got its users from Google: the TrustMRR profile says the business has good SEO and about 30 sign-ups a day, and the site has a page for each kind of reader, from medical students to seminary students, and a free page for each of more than 40 public-domain classics.

Team of 2 to 10 · 12 months after launch, revenue growing

It sells a weekly subscription for a task students repeat before every test, and it charges from the first screen: the App Store reviews complain that the app cannot be used without paying. One small studio ships the same shell, the same legal pages and the same billing stack across six apps, so each new app costs little. The revenue, read from the app's RevenueCat account, reached US$23,480 in its best month and US$174,534 in total within twelve months of launch.

Team of 2 to 10 · 22 months after launch, revenue falling

It starts from the student's own course files instead of general knowledge, so answers and practice questions point back to the material that the class uses. A free plan with monthly limits lets students try it, and Pro is sold by the week or by the month. Stripe shows about US$13,200 a month at the end of 2025; the seller says growth came with little to no marketing, and no source explains how students found it.

Solo founder · 13 months after launch, revenue flat

Speaking is the part of a language that learners practice least, because a human partner is expensive or not available. An AI tutor that listens and answers by voice is available at any hour for a fixed subscription. The founder chose search as the way to find learners: the website has about 1,600 pages in ten languages, and TrustMRR, reading the site's Google Search Console account, counted 460,920 Google search impressions in 30 days.

Solo founder · 11 months after launch, revenue flat

The founder had written a marketing blog for ten years, so his own readers bought on the first day. He built the first version in 8 weeks with the no-code tool Bubble, because he had no money for developers. He sold one thing that the model makers do not sell: all of their models in one subscription.

Team of 2 to 10 · 42 months after launch, revenue falling

It put the founders' marketing method behind a simple form at the time when people were trying to do marketing with ChatGPT and getting weak answers. A one-time price matched a need that comes rarely, and free tools brought search traffic without paid ads.

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

Churches with members from many countries meet every week, and the older solutions cost too much for most of them: an interpreter for each language, or radio receivers to hand out and collect. Glossa charges US$5 for one hour of speech in one language, counts by the minute, and charges nothing for silence, songs or extra listeners, so a small church can start with four free hours and then a few dollars a week. The product is shaped for this one buyer: captions go into ProPresenter and OBS, which churches already run, and a church can fix how names, Bible quotations and its own terms are translated. A very small team can offer this because the speech recognition and the voices are rented from model companies and paid by use.

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.

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, and the founder has listed it for sale.

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.