Jan Oberhauser: n8n from Side Project to AI Automation Platform
Berlin founder who built a fair-code workflow tool to solve his own scripting pain and scaled it into a major AI orchestration platform.
- MRR
- Not publicly disclosed (ARR estimates reported around $40M in mid-2025, later higher)
- ARR
- Estimated $40M+ (2025 reports); Sacra and others cited ~$100M range in 2026 (estimates)
- Users
- 1.7 million monthly active builders (company-reported May 2026); 1,400+ enterprise customers
- Founded
- 2019
- Team
- Started solo; now a larger team (hundreds reported in later coverage)"
- Stack
- TypeScript, Node.js, fair-code / Sustainable Use License
Jan Oberhauser did not set out to build a billion-dollar company. He was trying to stop wasting half a day on every small automation script.
While working on his own startup (link.fish) and a part-time job in Berlin, he kept hitting the same friction: writing a simple integration meant documentation, code, Git commits, deployment, error handling, SSL, and restart logic. Existing open-source options did not fit. On 23 June 2019 he pushed the first public version of n8n to GitHub as a solo side project. The name is a numeronym from “nodemation.”
He shared it on AlternativeTo and Quora. People started filing issues and opening pull requests. In October 2019 he launched on Product Hunt and Hacker News. The repository hit roughly 10,000 stars by November. One early contributor later became an employee. In March 2020 n8n raised a $1.5 million seed round co-led by Sequoia and firstminute capital. Oberhauser could work on it full-time and hire the first team members.
The product is a visual, node-based workflow tool that can be self-hosted or used in the cloud. Users connect apps, APIs, and later AI models by dragging nodes and writing custom JavaScript or Python when needed. The source is available under a “fair-code” / Sustainable Use License that keeps the code readable while restricting commercial resale of the software itself.
For the first several years growth was steady rather than explosive. Oberhauser later described the business in 2022 as “growing okay. Not outstanding. But it felt solid.” Then the AI wave arrived. n8n added native agent and orchestration features so teams could chain models, tools, and data without writing everything from scratch. By late 2025 more than 80% of workflows on the platform involved AI features. Revenue reportedly rose tenfold in 2025 and user growth was sixfold in the same period. In October 2025 the company raised a $180 million Series C led by Accel at a $2.5 billion valuation. In May 2026 SAP made a strategic investment that valued n8n at $5.2 billion and agreed to embed it in Joule Studio. Company figures at that time included 1.7 million monthly active builders and more than 1,400 enterprise customers. GitHub stars stood above 200,000.
Exact MRR or audited ARR has not been published by the company. External estimates (Sacra, investor comments, Bloomberg relays) placed ARR around $40 million in mid-2025 and later in the $100 million range in 2026. Those numbers should be treated as estimates or reported figures, not audited revenue.
The durable lesson is narrower than the valuation. Oberhauser started with a personal, repeated pain (reliable small automations), shipped a usable self-hostable tool, and kept the source available so others could extend it. The AI pivot worked because the existing community and integrations were already there. When a frontier lab ships something that looks competitive, more people discover the underlying problem; some of them still need an orchestration layer that connects their existing tools and data.
For an indie founder the practical takeaway is not “raise a Series C.” It is: solve a concrete operational headache you feel yourself, make the first version usable by other technical people, and stay close to the users who will tell you when the next wave arrives.
Sources: n8n’s second-anniversary post by Oberhauser, Wikipedia, company press and funding announcements, Sacra estimates, and contemporaneous reporting from TechCrunch, Bloomberg relays, and founder interviews.