Balzac AI: Revenue, team and how it was built

Team of 2 to 10 · 19 months after launch, revenue falling

Said 500+ paying agenciesRecords 207 subscriptionsDid not hold

The founder had an audience before the product existed: a daily YouTube show about SEO since 2023 and an X account that has 62,000 followers today, so the first customers cost nothing. A developer co-founder built the software with AI coding tools. The product started as one plain rank tracker at US$19 a month, grew into a bundle at US$57 to US$2,997 a month, and by July 2025 the first payment of a new customer from a paid ad covered the cost of that ad.

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.

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

One co-founder, Paul Vengeons, had worked as an SEO consultant in France since 2020 and had more than 10,000 followers on X, and the agents follow his method. The answers come from the customer's own Search Console data, the price is a fraction of Semrush or an agency, and the co-founders post free SEO guides every day that send readers to a 7-day free trial.

Solo founder · 6 months after launch, revenue growing

The founder first gave away the same idea as free open-source code, which collected about 2,000 GitHub stars, and he already had a free Chrome extension with at least 10,000 users among search specialists. The paid version removes the installation work and adds data that the free code does not have. Most of the first buyers came from that existing audience.

Started small, grew after funding · 15 months after launch, revenue growing

Three founders who met in an Antler cohort in Berlin launched it in February 2025, in a category that, as The Next Web wrote in May 2026, "barely existed 18 months ago". With self-serve plans and unlimited users it signed 1,300 brands and agencies in about nine months, the company said, and two funding rounds within ten months paid for a large sales and engineering team in Berlin and New York.

Team of 2 to 10 · sold 19 months after launch

The founder built it in about three days to remove the part of blogging he hated, keyword research and content planning. Then he took partners, SEO people who had the audience he did not have, and they promoted it. Revenue reached US$7,000 to US$8,000 a month about eight months after the launch, and he sold the product after he had stopped working on it.

Started small, grew after funding · 6 months after launch

Chris Donnelly had run an SEO agency for ten years and saw buyers move from Google results to AI answers. He started selling at the start of the new category, to brands with budgets, and announced every step to a large existing audience of founders and marketers. Paid accounts opened in January 2026, and the founder wrote that it passed US$2 million in annual recurring revenue about four months later.

Started small, grew after funding · 28 months after launch, revenue growing

The commercial founder spent six years at Amazon on catalogue quality and country launches, so he knew the cost of listing content and could sell to people he had worked with. His co-founder, an AI researcher, built the first version on Stable Diffusion over one weekend in late 2022, before most sellers had heard of image models.

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

Nathan Gotch had taught SEO for more than ten years through a YouTube channel, a book and a paid program for agency owners, Gotch SEO Academy. Gaps.com wrote that he launched Rankability to the audience he had built, and the Academy's SEO method used the tool. He paid for two years of outside development with his own money, a sum that gaps.com reported as US$426,111, before most software founders would have reached revenue.

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 · 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 · 41 months after launch, revenue falling

It is a small business with honest, payment-processor-verified numbers: US$18,627 of revenue in total over about three years, but only US$268 in the last 30 days, and on 1 November 2026 the team listed it for sale at US$7,000 because, in the seller's words, the team is moving on. The page shows what a small AI writing tool can earn in a crowded market, and how revenue behaves after the first years.

Solo founder · 12 months after launch, revenue falling

The conversion itself is rented: the company's terms say it uses Recraft AI's vectorization, which Recraft lists at US$0.01 a request. The founder built the parts around it, machine export formats and cleanup, and wrote a search page for nearly every cutter, laser and craft use. Stripe data shows that this reached US$4,261 of revenue in June 2026 and US$2,651 in the 30 days to 25 October 2026.

Started small, grew after funding · 26 months after launch, revenue growing

Three founders treated each app as an experiment in pricing and paywalls. Lessons from Pixi, the first app, went into Cue. The studio rents the models, does not train them, and spends its effort on design, data and paid user acquisition, which its founders call the three Ds.

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.

Team of 2 to 10 · 8 months after launch, revenue growing

It entered a crowded category in March 2025 with paid advertising instead of a personal audience, and it treated the economics of each ad channel as the product to optimize. Cheaper attribution let it test low-cost traffic, and weekly advances on App Store payouts let it put each week's earnings back into ads within days instead of 45. Adapty, the company whose software runs the app's subscriptions, published the figures under its own name.

Solo founder · sold 5 months after launch

Its result is a before-and-after picture of the user's own face, which a short video shows in seconds. The founder chose TikTok as the channel before he built the app, then tripled revenue from almost the same installs by moving and testing the paywall with Adapty.