Sign up to save your podcasts
Or
Share n8n CEO Jan Oberhauser on Building the Universal AI Automation Layer
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
n8n CEO Jan Oberhauser on Building the Universal AI Automation Layer
When the AI wave hit, n8n founder Jan Oberhauser faced a critical choice: become irrelevant or become indispensable. He chose the latter, transforming n8n from a simple workflow tool into a comprehensive AI automation platform that lets users connect any LLM to any application. The result? Four times the revenue growth in eight months compared to the previous six years. Jan explains how n8n’s “connect everything to anything” philosophy, combined with a thriving open source community, positioned the company to ride the AI automation wave while avoiding vendor lock-in that plagues enterprise software.
Hosted by George Robson and Pat Grady, Sequoia Capital
Mentioned in this episode:
Model Context Protocol (MCP): Open protocol that lets AI models safely use external tools and data that is used extensively by n8n for orchestration.
Vector database: A database optimized for storing and searching embeddings. These “vector stores” can pair with LLMs for retrieval-augmented workflows.
Granola: AI productivity tool mentioned by Jan as a recent favorite.
Her: A film that Jan says, “a few years ago, it was sci fi, and it’s now suddenly this thing that is just around the corner.”
View all episodes
By Sequoia Capital
4.2
3636 ratings
When the AI wave hit, n8n founder Jan Oberhauser faced a critical choice: become irrelevant or become indispensable. He chose the latter, transforming n8n from a simple workflow tool into a comprehensive AI automation platform that lets users connect any LLM to any application. The result? Four times the revenue growth in eight months compared to the previous six years. Jan explains how n8n’s “connect everything to anything” philosophy, combined with a thriving open source community, positioned the company to ride the AI automation wave while avoiding vendor lock-in that plagues enterprise software.
Hosted by George Robson and Pat Grady, Sequoia Capital
Mentioned in this episode:
Model Context Protocol (MCP): Open protocol that lets AI models safely use external tools and data that is used extensively by n8n for orchestration.
Vector database: A database optimized for storing and searching embeddings. These “vector stores” can pair with LLMs for retrieval-augmented workflows.
Granola: AI productivity tool mentioned by Jan as a recent favorite.
Her: A film that Jan says, “a few years ago, it was sci fi, and it’s now suddenly this thing that is just around the corner.”
More shows like Training Data
View all
This Week in Startups
1,283 Listeners
a16z Podcast
1,080 Listeners
The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch
527 Listeners
Y Combinator Startup Podcast
221 Listeners
Practical AI
206 Listeners
Machine Learning Street Talk (MLST)
88 Listeners
Grit
189 Listeners
Dwarkesh Podcast
453 Listeners
No Priors: Artificial Intelligence | Technology | Startups
130 Listeners
Latent Space: The AI Engineer Podcast
96 Listeners
Crucible Moments
91 Listeners
BG2Pod with Brad Gerstner and Bill Gurley
482 Listeners
AI + a16z
31 Listeners
Lightcone Podcast
17 Listeners
Uncapped with Jack Altman
41 Listeners
Cheeky Pint
16 Listeners