Lumi AI: Revenue, sale and how it was built

Team of 2 to 10 · 45 months after launch, revenue falling

Said US$19K a monthRecords US$9.6K in JulyDid not hold

It appeared in January 2023 inside Google Slides, a program where people already work, when writing slides from one sentence was new, and users showed it to each other without paid advertising. A blog about presentation topics then brought about 80% of new users from Google search, by the founder's account. Both channels weakened: search traffic fell, and Google added the same function to Slides. The verified total is real, and so is the fall: monthly revenue fell by half between February and July 2026.

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 · 36 months after launch, revenue flat

The first customers came from a lifetime-deal sale on AppSumo, at a time when the product had no AI at all. That gave about a thousand users, word of mouth and a Powered by Guidejar link on every free guide. From April 2024 the founder sold subscriptions instead, and added AI writing, voiceover and translation to the paid plans, metered in credits.

Team of 2 to 10 · 24 months after launch, revenue falling

It sold a simple promise, a finished PowerPoint file from one sentence, at a low price: in 2024 and the first half of 2025 the archived pricing showed unlimited decks for US$9.99 a month. Stripe payments read by TrustMRR add up to US$60,120 since the start. The verified monthly figures also show a steady fall after November 2025, when the plans had moved from unlimited use to slide credits, and the founder put the business up for sale.

Team of 2 to 10 · 47 months after launch, revenue falling

It put a language model inside Google Sheets from November 2022, and Google's marketplace brought more than 201,000 installs. Few installs paid: US$52,136 of verified revenue in 47 months is about US$0.26 per install. Its most important result may be indirect: a request for a pitch deck for SheetAI led the founder to build MagicSlides, which by its own verified data earned about 14 times as much. SheetAI's own revenue is now falling, and Google has offered a similar AI function inside Sheets since June 2025.

Solo founder · 15 months after launch, revenue falling

It does the work in the cells instead of explaining what to paste, and it works in the Excel that people already have, without a Microsoft Copilot license. The founder already taught Excel to a large French audience. The AI models are bought by the request from OpenAI and Anthropic, so one person could build and run it.

Team of 2 to 10 · 9 months after launch, revenue falling

Two podcast hosts had the show notes problem themselves and already knew many creators. A lifetime deal on AppSumo brought about 10,000 users and about US$350,000 in the first months, and paid creators and affiliates brought subscribers after that. Three founders with different skills worked for equity, so the company needed no investors.

Team of 2 to 10 · 5 months after launch

Content marketing agencies already had hundreds of articles and wanted video without cameras or editors. The company found them with cold email: for each large prospect it turned a recent post from the prospect's own blog into a video and sent it free, which often started a conversation. About six agencies with large contracts paid most of the first US$6,000 a month.

Team of 2 to 10 · 13 months after launch

A slitting plan decides how each wide coil is cut into narrow strips for many orders at once, and the company's own pages say most planners still build it by hand in a spreadsheet. A co-founder came from several years of work in a service center, so the product was built around the rules of that floor (grades, gauges, knife setups, coil inner and outer diameters) instead of a general factory model. The company charges a share of the savings it measures, so a buyer pays only when scrap goes down.

Started small, grew after funding · 8 months after launch

Ordinary test scripts name the exact page elements to click, so they break each time a page changes, and many online shops check their launches by hand. Spur's tests describe what the user wants to do, so they can keep working when the page changes, by the founders' launch posts. Its customer stories for DocuSign, Abercrombie & Fitch and Bombas report manual checking replaced or shortened from days or hours to a review of flagged results.

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.

Started small, grew after funding · sold 11 months after launch

Its founders wrote some of the methods that the industry already used to run models cheaply, such as AWQ for 4-bit weights. They turned that research into a paid serving API, proved the speed on a public benchmark, and partnered with a cloud company that needed exactly that speed. Eleven months after its first public post, the partner agreed to buy it.

Solo founder · sold 5 months after launch

It launched in the month that AI models became good enough to write a whole app. It sold to people who cannot program, it charged from day one, and it was sold to a company that already had millions of customers.

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.