camelAI: Product, team and how it was built

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. They 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.

Started small, grew after funding · sold 37 months after launch

It aimed at regulated enterprises that needed AI agents on their own servers, with audit logs. The company said in 2025 that hundreds of organizations used it. Asana bought it in May 2026. Asana's quarterly report states the price.

Solo founder · 2 months after launch, revenue flat

AI coding agents can build a working page or deck, but in the founder's words their visual output often looks generic. Skillry sells finished visual styles, one task per Skill, shows real output before the sale, and adds new Skills almost every day under one subscription. When sales began on 28 September 2026, they held at about US$430 a day for 17 days.

Solo founder · 12 months after launch, revenue falling

It launched in October 2025. By then, Anthropic's Claude Code had made skills, slash commands and subagents a normal way to steer a coding agent. Most developers were still writing their own. A founder who presents themself as a CTO with 18 years of experience sold a tested set as a one-time purchase with a money-back promise. Verified revenue reached US$16,040 in March 2026 and US$82,195 in total, but it fell to under US$2,000 a month by September 2026.

Solo founder · 4 months after launch, revenue falling

Said over US$36K in a monthRecords US$39.6K by end of JulyHeld

It turned a new working habit into a native Mac app. The habit was running several AI coding agents at the same time. The app had voice control and a strong visual style, and it charged once instead of every month. The founder sold it to his own audience through daily live streams, X and a Discord community. Stripe recorded more than three quarters of the revenue in the first seven weeks.

Solo founder · 6 months after launch, revenue growing

The compression engine already existed as a free, open-source Python tool, but it was hard to install. Garm Lucassen packaged it into a desktop app. The app installs with a double click, connects the coding agents by itself, and removes its changes when it quits. The engine's creator suggested that he build it and keep the Headroom name. Developers who hit the usage limits of their AI plans pay a small monthly price to make those limits last longer.

Solo founder · 25 months after launch, revenue falling

A normal chat window is one long thread, and a side question either breaks that thread or is never asked. The founder sold a fix for that one problem to heavy AI users. The subscription version earned little; the one-time licence that followed sold to many buyers, and Stripe data on TrustMRR shows US$131,070 in total. Sales then fell, because each one-time buyer pays only once.

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

Every team that builds with AI models ends up with several provider accounts, keys, invoices and SDKs. One gateway with open code replaces them, and a developer can read the code before sending traffic through the hosted version. In 2026 the founders added DevPass, a flat monthly price for coding agents. Its allowance is up to three times the price in model usage. The verified monthly receipts grew from US$57,994 in January 2026 to US$249,922 in August 2026; TrustMRR does not split them by product.

Solo founder · 14 months after launch, revenue growing

The founder had made Roblox games for nine years, with 200 million visits on his own games. His launch post on the official Roblox developer forum was read 112,656 times. He launched free, with 1 million tokens a month, and charged US$20 a month for heavy use. Then he added top-ups and a marketplace of tested systems that the AI installs, instead of writing every system from nothing.

Solo founder · 6 months after launch, revenue falling

It put the newest video models, among them ByteDance's Seedance 2.0 from 14 April 2026, inside a storyboard editor that keeps characters consistent. Revenue grew from US$645 in May 2026 to US$32,697 in July. Then it fell by three quarters by September, and no source says why.

Solo founder · 20 months after launch, revenue flat

It entered a crowded category, habit trackers, with a free tracker and a paid AI coach on top. The founder shipped 83 versions in 21 months, so the product changed every week or two. Many buyers pay for a year at once. The site whatsthe.app read that the money in the last 28 days was almost twice the monthly recurring revenue.

Solo founder · 105 months after launch, revenue falling

The service has run since 2018 and keeps adding model versions, from V2 in 2022 to V8, the newest in October 2026. So the same customers come back for better results. It sells to a clear group, people with family albums, genealogy research and memorial photos, and to studios and museums. The price is a one-time pack instead of a subscription, which suits a customer who has one box of old photos.

Team of 2 to 10 · 41 months after launch, revenue falling

It is a small business with honest, payment-processor-verified numbers. It made US$18,627 of revenue in total over about three years, but only US$268 in the last 30 days. 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.

Team of 2 to 10 · 16 months after launch

The founder kept a product that had failed once, asked Hacker News in public whether to continue, and got an investor from that post. He then watched new users try the product in front of him. He cut the setup steps until everyone could create a first summary, and started to charge. AI summaries of long videos and podcasts gave people a reason to come back. Product Hunt and AI tool directories brought the first paying users.