Documents, data and slides

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

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 · sold 17 months after launch

It solved one narrow and repeated task that every company has at the end of each quarter: find all invoices and give them to the accountant. It read the invoices where they already were, in the inbox and on supplier websites, instead of asking people to forward them, and it let customers write their own checking rules in plain language. Stripe data shows monthly revenue rising from US$12,631 in November 2025 to US$18,970 in January 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 · 5 months after launch, revenue falling

It sold to a waiting list. In May 2026 the site collected emails with the promise of a launch discount, and today the pricing card still asks for the opening code that the list received by email. TrustMRR shows US$39,737 of payments in the launch month, 59.6% of all revenue to date. The product shows its sources for each conclusion, which the site uses as its argument against anonymous signal channels. What it has not shown is growth after the launch: monthly revenue fell to about US$4,400 from July to September.

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 · 11 months after launch, revenue falling

It turns chart reading, which a beginner would otherwise have to learn, into one upload and one answer, and it works on any market because it reads a picture and needs no market data feed. The App Store sells it worldwide: whatsthe.app counts 92 ratings from 13 countries, and the most come from India. MRR was about US$5,700 at the start of September 2026, calculated from the 28-day growth figure, and then fell by about half.

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.

Solo founder · 15 months after launch, revenue falling

Many recipes now live in short videos, where the ingredients are spoken or shown and never written down. A model that can watch a video and write out a structured recipe turned an old app category, the recipe keeper, into something that works for these videos. One developer built it on rented models and sells it through the app stores as a subscription.

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.

Solo founder · 6 months after launch

The founder did not build it. He bought a weekend project with no revenue for US$20,000, paid about US$10,000 for the domain pdf.ai, and relaunched it under that name. The domain put the product at the top of Google for the words people were already typing, and a one-time launch deal paid for a developer and a video creator within weeks.

Solo founder · 33 months after launch, revenue growing

It was the first visible AI tool for a task that 750 million Excel users do, and it appeared three months before ChatGPT. A Reddit post and a TikTok video brought 100,000 visitors in a day. The founder put a paywall on the site when the OpenAI bill reached US$5,000, and 606 people paid in the first month.

Team of 2 to 10 · 11 months after launch, revenue growing

An Amazon seller who could not code built the research tool he needed in 48 hours with Cursor, then offered it to Legacy X, a coaching program for Amazon sellers that he had bought two years earlier. Legacy X took a share of the business, and its students were the customers from the first day. He says it reached US$10,000 a month in 30 days and US$30,000 a month by June 2026.

Team of 2 to 10 · 7 months after launch

The founder had answered resume questions on Reddit for six years, and his free template had millions of users, so the AI tool launched to people who already trusted his format. It replaced a US$400 one-to-one review with a US$99 product that costs little to run.

Team of 2 to 10 · sold 6 months after launch

The founders first sold AI reports for many jobs, from lesson plans to travel plans, and kept the one that people paid for: the business idea check. It cost about US$185 to start, so nearly all revenue was profit. An Instagram creator's video in June 2023 brought more than US$10,000 of sales in one week. Six months after launch they sold it through Acquire.com.

Solo founder · 39 months after launch

It launched in October 2021 with one narrow promise, write SQL without knowing SQL, on OpenAI's Codex and GPT-3 models and a no-code app builder. It kept its prices low, built a site of more than 700 pages, among them SQL lessons, templates and comparisons, and added what a general chatbot does not have: a live, read-only connection to the customer's database. Its recurring revenue, as the founder reported it, doubled in 2024 to about US$10,000 a month.

Solo founder · 7 months after launch

The founder was the chief product officer of a software company and knew the job that she automated. She first released her prompt as a free custom GPT in OpenAI's store, where it became the most popular product management GPT, and then charged from the first day of her own web app. She posted the work in public on X to an audience of product people.

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

Every company that builds an AI app on its own documents first has to get clean text and fields out of PDFs, which is slow and error-prone to build. PDF Vector sells that step as one API with a free tier and plans from US$23 a month. It started in June 2025 as a PDF-to-markdown parser and added AI extraction, questions and academic search within four months.

Team of 2 to 10 · 94 months after launch, revenue falling

It put GPT-3 into a resume builder in December 2020 with a team of two, which the founder says no competitor did, so when ChatGPT made AI writing popular in January 2023 it already had a working product that ranked in search. Search traffic, two deal partners and free giveaways on Reddit brought the users without an advertising budget, and the company says it was profitable from 2020.

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

The founder says the app sat at about US$300 a month for a year and a half, until a content creator in Colombia found the founder's X link inside the app and proposed a partnership. According to the founder, three story-driven videos a month in Spanish, paid with a share of the profits and a fixed retainer, took the app to more than US$35,000 a month in about a year.

Team of 2 to 10 · 43 months after launch

Ayush Chaturvedi said in a Starter Story interview published in January 2026 that the app made US$150,000 a year, and that growth came in two phases: posts in Reddit communities first, then pages that rank in Google. The first version came out in June 2022, months before ChatGPT, as a writing helper that worked inside every Mac app. When chat apps became free, the founders moved the product toward answering from the user's own documents, a job the general chat apps did not do on the computer.

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.

Team of 2 to 10 · 32 months after launch

The founder first published about 1,000 free business model canvases, which brought search traffic that he said reached 50,000 visits a month, and only then sold a paid tool to those visitors. In October 2020 he said he obtained early access to OpenAI's GPT-3, and from late 2021 the product changed from a data search tool into a text generator, with lifetime deals on AppSumo and resellers in the United States and India adding sales.

Team of 2 to 10 · 11 months after launch

The co-founders said that they had seen good candidates rejected by applicant tracking software before a person read their resumes. They launched on Product Hunt, wrote search pages with freelance writers, and sold a lifetime deal on AppSumo. Hareesh Vemasani told Starter Story in November 2025 that the business made about US$4,000 a month in recurring revenue.

Solo founder · 10 months after launch

The founder says it grew slowly: a Product Hunt launch with 3 votes, no audience and no waiting list, then users won one by one through content, outreach and personal conversations, and later through a subreddit that the founder runs. The founder's post of 26 July 2026 reported that this reached more than US$2,700 in monthly recurring revenue.