Underpriced AI: Revenue, team and how it was built

Solo founder · 27 months after launch, revenue growing

Said US$245K a monthRecords US$263K MRRSaid less than the records

The founder took a twenty-year-old product category with no open-source entry and open-sourced all of it, which gave him millions of Docker downloads and 37,000 GitHub stars without a marketing budget. Revenue stayed small for a year. It multiplied when he turned the product toward people who automate their posting with n8n workflows and, from late 2025, with AI agents, which need an API-first scheduler and keep paying because they post without human effort.

Solo founder · 7 months after launch, revenue growing

It went where the users already were: an app in ChatGPT's app store, a plugin in Claude's directory and in Claude Code, and setups for Cursor and Codex, in the months when these directories were new. It charges per tool call instead of a share of ad spend, so a small advertiser starts at US$49 a month. And it applied to the platforms' own API programs; the company says Google approved it in June 2026 and Amazon admitted it to its partner network.

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

It entered a market where people already paid for tools such as Taplio, and did the one core task better: writing the post. The founders' public posts brought the first customers and a lifetime-deal platform, and that deal paid for growth without investors. Subscriptions, partnerships with LinkedIn influencers, affiliates and a move to team plans came after.

Solo founder · 14 months after launch, revenue falling

A carousel needs both writing and design. Draft AI asks for a minute of speech instead and returns finished slides, plus scripts, threads and hooks from the same recording. It charges before the first result, so everyone who uses it has subscribed or started the trial of a paid plan.

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 · 27 months after launch, revenue falling

Many experts know that regular LinkedIn posts bring clients, but they do not have the time or the writing habit. UpLinked sells one narrow job, about one hour a week of LinkedIn posting for business-to-business experts, first in Dutch and later in English. Coaches and consultants who teach LinkedIn used it themselves and for their own clients, and the sellers wrote that this word of mouth brought every customer, with no paid ads. TrustMRR recorded US$200,908 of Stripe payments to the founding company up to October 2026. Monthly revenue fell by more than half in 2026, the business was listed for sale, and since late October 2026 another company is named as its operator.

Solo founder · 15 months after launch, revenue falling

Many people get vague answers from chat models because their requests are vague. Prompt Builder sells the step in between: it asks up to three questions and writes the detailed request for them. Stripe data shows that people paid for this monthly, from US$346 in November 2025 to a peak of US$1,929 in May 2026.

Solo founder · 27 months after launch

The founder built it for his own inbox, published the code from the first day and launched it on Product Hunt the day after Christmas 2023, where he says it finished first. The open-source community, two newsletters and the GitHub trending page brought the first thousands of users. According to the Startup Founder Stories summary of his Indie Hackers interview, he then narrowed the product to a niche when larger competitors arrived and reached US$10,000 in monthly recurring revenue about a year after the first customer.

Solo founder · 37 months after launch, revenue growing

It launched the obvious application of a new model within weeks, with a pricing page on the first day. The founder built the parts around the model instead of a model, so every model upgrade improved the product for free. Then it moved from a consumer toy to business customers who stay.

Solo founder · 16 months after launch, revenue flat

It reached the App Store early, in July 2023, with the simplest form of the idea: press one button, get a transcript and a summary. The founder paid for Meta ads while they still worked for a new kind of app, tested paywalls constantly and moved buyers to annual plans. He works alone with AI coding tools, so in his own 2026 account about US$3 million of about US$7 million a year stays as profit.

Team of 2 to 10 · sold 27 months after launch

Said over US$350K in totalRecords US$348.5K on StripeHeld

It entered a market that already had about ten AI headshot sites, at a lower price, and won customers through Google search and affiliate writers instead of ads. A US$4,000 order from one company showed that team headshots were the better sale. The founders sold in 2025, when a general chat model began to make similar images.

Solo founder · 29 months after launch, revenue falling

It is run by a search marketer: its pages target what people type into Google, and its best month came from a list article on another company's blog that ranked there. A US$1 trial that needs a card turns visitors directly into subscribers at US$25 a month or US$99 a year.

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.

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

The founders said that most new users came from search: their blog brought over 40% of new users and AI answers (ChatGPT and Google's AI) another 28%. Short slideshows on four TikTok accounts brought views but few sign-ups, about one per 10,000 views. The product removes the main limit of earlier learning apps, a fixed catalog of courses, because the model writes a new course for each request.