How to Know Your AI Feature Actually Works (n8n's Founder's Metric) | Jan Oberhauser, CEO n8n

July 29, 2026

AI Summary

5 min read

Jan Oberhauser, founder of n8n, started the company as a solo founder who needed a name fast. He time-boxed the decision to an hour, landed on a shortening of "notebase" and "automation" inspired by Kubernetes' "K8s," and bought the domain for $5,000 after the seed round. Seven years later, n8n has crossed €100 million in ARR at a $5.2 billion valuation with nearly 200,000 GitHub stars. The conversation covers how he built that traction, why he rejected traditional open source, the metric he uses to know if an AI feature actually works, and who should actually build automations inside an organization.

The Fair Code Bet and Why Consistency Matters

Oberhauser wanted n8n to become the default automation tool, which meant making it free and widely accessible. He saw that many open source companies eventually changed their licenses to something more restrictive, angering their communities. "The community got very angry about it, not because of the license itself, but because the company suddenly changed the rules," he says. "First I can do all of this, and suddenly they took some rights away. That really pissed people off."

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What you'll learn

1 (01:18) **The Fair Code Bet & Community-First Strategy** - Jan explains why he rejected traditional open source from day one and how that decision built trust
2 (03:13) **The Pivot to AI: From "Sprinkling On Top" to Deep Integration** - How n8n realized it already had the infrastructure for the AI wave and built agents, not just API calls
3 (05:30) **The Secret to 100M+ ARR: Power, Flexibility, and the Community** - Jan identifies what made n8n special as it outgrew competitors like Zapier and Make
4 (09:04) **Why Self-Hosting is a Feature, Not a Bug** - The rationale behind letting users run n8n behind their own firewall
5 (14:58) **Model Optionality: The Power of BYOK and Switching** - How n8n enables users to bring their own API keys and swap models in seconds
6 (18:02) **Live Demo: The AI Assistant That Builds Workflows from Natural Language** - Jan shows how a user can describe a personal agent and n8n builds it visually
7 (21:30) **Human-in-the-Loop: The Key to Production-Ready AI** - How n8n ensures AI agents can't go rogue by requiring human approval on critical actions

+ Full timestamped outline available in the app

Show Notes

n8n's founder puts the company's GitHub repo, nearly 200,000 stars, right next to the paid signup button, and he's genuinely fine if you never pay. In this episode of The Product Podcast, Carlos (CEO at Product School) sits down with Jan Oberhauser, CEO of n8n, the open-source automation platform that's crossed $100 million in ARR at a $5.2 billion valuation. Jan breaks down the "fair-code" license bet that let him give the product away and still build a business, how that free version became the on-ramp into enterprises like Meta, Nvidia, Dell, Accenture, Vodafone, Deutsche Telekom, and Mercedes, and why he believes the people with the problem should build the automation themselves, not a centralized team or an outside agency.

He also walks through a live build of a personal AI agent (email and calendar), shows how n8n falls back from Claude to GPT via OpenRouter when a model isn't available, and explains how enterprises get automations into production faster because each agent can only do exactly what it's been permitted to do.

What you'll learn:

Why n8n rejected traditional open source for a "fair-code" license, and how it avoided the community backlash that burned other companies
Why trust and consistency, not features, are the real center of a community
How the free, self-hosted version drives bottom-up adoption inside major enterprises
Why "sprinkling AI on top" kills products, and what to build instead
How to chain agents so one agent's output becomes the next agent's input
Why n8n is the "connective tissue" between models, tools, and business systems
How guardrails (an agent can only do what it's explicitly allowed) speed up enterprise procurement and production
Why the people with the problem should own the building, not a centralized AI team
How 10,000+ community templates and 500+ integrations expand what non-technical builders can ship
How one company routes 75% of support through an n8n agent, with customers happier than with humans

Connect with Guest (Jan Oberhauser):
LinkedIn: https://www.linkedin.com/in/janoberhauser
X: https://x.com/JanOberhauser

Host: Carlos, CEO at Product School
LinkedIn: https://www.linkedin.com/in/villaumbrosia/

About Jan Oberholzer: Jan is the CEO of n8n, an open-source (fair-code) workflow automation and orchestration platform for building AI agents. He started the company over seven years ago, before LLMs went mainstream, and has grown it past $100M ARR at a $5.2B valuation.

About the Product Podcast: Product School's podcast brings you candid conversations with the founders and product leaders shaping tech.

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