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Aakash GuptaAakash Gupta

Seriously, Please Watch This Before You Declare n8n Dead

n8n was the hottest AI tool in the world in 2025. Then Claude Code and Cowork arrived and people started declaring it dead. Jan Oberhauser, founder and CEO of n8n, walks through what his product does that a Claude Code agent can't, with a live demo of reliability, auditability and human-in-the-loop approvals. Full Writeup: https://www.news.aakashg.com/p/n8n-vs-claude-code Transcript: https://www.aakashg.com/claude-code-killed-n8n-its-ceo-disagrees/ Timestamps 00:00 - Intro 02:28 - Do you still need n8n in the age of Claude Code 07:09 - Ads 10:17 - Did Claude Cowork and Claude Code hurt n8n 11:38 - n8n's revenue, users and enterprise customers 14:44 - Demo, what n8n does that a Claude Code agent can't 22:46 - What reliability and auditability actually mean 24:47 - Ads 29:40 - Handing a workflow to a teammate, and where n8n shines 32:21 - What PMs should build after their first agent 41:44 - Why sprinkling AI on top only gets you 10 to 30% 44:23 - Killing the lead gen target and per-seat pricing 54:05 - How n8n builds product and hires AI PMs 🏆 Thanks to our sponsors 1. Customer.io: Send smarter messages using your product data - http://customer.io/productgrowth 2. Kameleoon: Leading AI experimentation platform - http://www.kameleoon.com/ 3. Bolt: Ship AI-powered products 10x faster - https://bolt.new/solutions/product-manager?utm_source=Promoted&utm_medium=email&utm_campaign=aakash-product-growth 4. Jira Product Discovery: Plan with purpose, ship with confidence - https://www.atlassian.com/software/jira/product-discovery 5. Product Faculty: Get $150 off their #1 AI PM Certification via code AAKASH150 - https://www.productfaculty.com/?code=AAKASH150 Key Takeaways 1. n8n and Claude Code are different products, and you need both - Claude Code runs Anthropic models in your terminal as an agentic tool. n8n is the orchestration layer that connects your tools, models and data sources on a visual canvas. 2. Reliability means fallback models, self-hosting and maintained tooling - Every provider goes down, so you set a fallback model in the same workflow. You can self-host n8n next to your own data. Each integration is code n8n writes, tests and maintains, so an API change gets fixed once for everybody instead of by every builder separately. 3. Auditability is the thing code can't give you - With generated code you see the input and the output, not the decisions in between. n8n shows every past execution step by step, with the data going in and out of each node, and lets you rerun half a workflow from a specific data point. 4. AI plus deterministic logic plus human in the loop - AI is one tool, not the whole solution. An if statement is cheaper, faster and 100% reliable, so the two belong together. 5. The AI assistant builds the workflow for you - Jan prompts it the way you would prompt Claude Code. It asks clarifying questions, thinks for about eight minutes, and returns a working multi-tool agent. Extending it afterwards with one-on-one scheduling and Google Contacts took another five minutes. 6. Start small and skip AI when you don't need it - Companies that try to transform everything at once spend weeks building the wrong thing. The simple wins are also the ones that get your colleagues interested. 7. Where n8n uniquely wins is anything business-critical - Security orchestration, compliance, employee onboarding and offboarding, DevOps, monitoring. The rule of thumb Jan gives is that the more reliability and security matter, the more n8n shines, and that covers more or less anything that isn't a personal use case. 8. Sprinkling AI on top gets you 10 to 30%, being in the value chain gets you 10x - Adding an AI button somewhere is not a strategy. n8n's bet was that when someone decides to build an agent, they build it in n8n. That choice is what produced 10x growth in a year. 9. Deleting the metrics that make money faster - No lead gen target and no per-seat pricing, because profitability means n8n doesn't need investor money and can think long term. The company also doesn't push free self-hosted users onto paid hosting. The internal goal moved from a billion in ARR to a billion users, so nobody mistakes the mission for money. 10. Talent density over headcount, and technical PMs over polished ones - The target is a billion users with fewer than a thousand employees, so the hiring bar stays high. Jan wants tinkerers who run home automation and understand scale, evals and reliability. Live problem-solving sessions beat take-home tasks now that AI can do the take-home for you. 👨‍💻 Where to find Jan LinkedIn: https://www.linkedin.com/in/janoberhauser/ X: https://x.com/JanOberhauser 👨‍💻 Where to find Aakash X: https://x.com/aakashgupta LinkedIn: https://www.linkedin.com/in/aagupta/ Newsletter: https://news.aakashg.com 🧠 About Product Growth The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications.

Jan OberhauserguestAakash Guptahost
Sep 25, 20261h 9mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
September 25, 2026
Duration
1h 9m
Channel
Aakash Gupta
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

n8n was the hottest AI tool in the world in 2025. Then Claude Code and Cowork arrived and people started declaring it dead. Jan Oberhauser, founder and CEO of n8n, walks through what his product does that a Claude Code agent can't, with a live demo of reliability, auditability and human-in-the-loop approvals. Full Writeup: https://www.news.aakashg.com/p/n8n-vs-claude-code Transcript: https://www.aakashg.com/claude-code-killed-n8n-its-ceo-disagrees/ Timestamps 00:00 - Intro 02:28 - Do you still need n8n in the age of Claude Code 07:09 - Ads 10:17 - Did Claude Cowork and Claude Code hurt n8n 11:38 - n8n's revenue, users and enterprise customers 14:44 - Demo, what n8n does that a Claude Code agent can't 22:46 - What reliability and auditability actually mean 24:47 - Ads 29:40 - Handing a workflow to a teammate, and where n8n shines 32:21 - What PMs should build after their first agent 41:44 - Why sprinkling AI on top only gets you 10 to 30% 44:23 - Killing the lead gen target and per-seat pricing 54:05 - How n8n builds product and hires AI PMs 🏆 Thanks to our sponsors

  1. Customer.io: Send smarter messages using your product data - http://customer.io/productgrowth
  2. Kameleoon: Leading AI experimentation platform - http://www.kameleoon.com/
  3. Bolt: Ship AI-powered products 10x faster - https://bolt.new/solutions/product-manager?utm_source=Promoted&utm_medium=email&utm_campaign=aakash-product-growth
  4. Jira Product Discovery: Plan with purpose, ship with confidence - https://www.atlassian.com/software/jira/product-discovery
  5. Product Faculty: Get $150 off their #1 AI PM Certification via code AAKASH150 - https://www.productfaculty.com/?code=AAKASH150

Key Takeaways

1. n8n and Claude Code are different products, and you need both - Claude Code runs Anthropic models in your terminal as an agentic tool. n8n is the orchestration layer that connects your tools, models and data sources on a visual canvas.

1. Reliability means fallback models, self-hosting and maintained tooling - Every provider goes down, so you set a fallback model in the same workflow. You can self-host n8n next to your own data. Each integration is code n8n writes, tests and maintains, so an API change gets fixed once for everybody instead of by every builder separately.

1. Auditability is the thing code can't give you - With generated code you see the input and the output, not the decisions in between. n8n shows every past execution step by step, with the data going in and out of each node, and lets you rerun half a workflow from a specific data point.

1. AI plus deterministic logic plus human in the loop - AI is one tool, not the whole solution. An if statement is cheaper, faster and 100% reliable, so the two belong together.

1. The AI assistant builds the workflow for you - Jan prompts it the way you would prompt Claude Code. It asks clarifying questions, thinks for about eight minutes, and returns a working multi-tool agent. Extending it afterwards with one-on-one scheduling and Google Contacts took another five minutes.

1. Start small and skip AI when you don't need it - Companies that try to transform everything at once spend weeks building the wrong thing. The simple wins are also the ones that get your colleagues interested.

1. Where n8n uniquely wins is anything business-critical - Security orchestration, compliance, employee onboarding and offboarding, DevOps, monitoring. The rule of thumb Jan gives is that the more reliability and security matter, the more n8n shines, and that covers more or less anything that isn't a personal use case.

1. Sprinkling AI on top gets you 10 to 30%, being in the value chain gets you 10x - Adding an AI button somewhere is not a strategy. n8n's bet was that when someone decides to build an agent, they build it in n8n. That choice is what produced 10x growth in a year.

1. Deleting the metrics that make money faster - No lead gen target and no per-seat pricing, because profitability means n8n doesn't need investor money and can think long term. The company also doesn't push free self-hosted users onto paid hosting. The internal goal moved from a billion in ARR to a billion users, so nobody mistakes the mission for money.

1. Talent density over headcount, and technical PMs over polished ones - The target is a billion users with fewer than a thousand employees, so the hiring bar stays high. Jan wants tinkerers who run home automation and understand scale, evals and reliability. Live problem-solving sessions beat take-home tasks now that AI can do the take-home for you. 👨‍💻 Where to find Jan LinkedIn: https://www.linkedin.com/in/janoberhauser/ X: https://x.com/JanOberhauser 👨‍💻 Where to find Aakash X: https://x.com/aakashgupta LinkedIn: https://www.linkedin.com/in/aagupta/ Newsletter: https://news.aakashg.com 🧠 About Product Growth The world's largest podcast focused solely on product + growth, with over 200K+ listeners. 🔔 Subscribe and turn on notifications.

SPEAKERS

  • Jan Oberhauser

    guest

    CEO and founder of n8n, an automation/workflow platform.

  • Aakash Gupta

    host

    Host of Product Growth with Aakash Gupta and former VP of Growth at Apollo.io.

EPISODE SUMMARY

In this episode of Aakash Gupta, featuring Jan Oberhauser and Aakash Gupta, Seriously, Please Watch This Before You Declare n8n Dead explores n8n isn’t dead: it’s the production layer for agents Jan Oberhauser argues n8n isn’t “dead” but transitioning from hype-cycle visibility to durable, business-critical usage where reliability, security, and auditability matter most.

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