Billion-Dollar Exit CTO Explains: The Vibe Coding Setup for >100 Million Euro Revenue (Step-by-Step)

About this episode

Paul Müller achieved what many founders dream of: As co-founder of Adjust, he experienced an exit worth over one billion dollars. Today, he's a partner at EWOR and shares insights from more than a decade of entrepreneurship. In this podcast episode, he explains how the startup world has fundamentally changed and which new rules founders must master today.

The New Rules for Modern Startups

The days when pure technical superiority was enough are over. Paul Müller explains why technical differentiators – so-called "moats" – no longer represent the decisive competitive advantage. Instead, traction and continuous customer feedback are the new success factors.

"What counts today is the ability to respond quickly to market needs while staying technically sound," says Müller. This shift has fundamental implications for how startups should develop and scale their products.

Vibe Coding: Revolution with Risks

A central concept in modern product development is "vibe coding" – AI-assisted programming that can dramatically accelerate development processes. Paul Müller demonstrates how AI tools are revolutionizing the way products are created.

Yet despite all the enthusiasm, the experienced entrepreneur warns of pitfalls: "AI can accelerate development, but without clear tests and clean architecture, the product will collapse under its own complexity."

The art lies in leveraging AI's efficiency gains without neglecting the fundamental principles of good software development.

Saving Costs with Smart AI Usage

Particularly interesting are Müller's insights into efficient use of AI models. Through clever planning and smaller, more targeted requests, costs for AI models can be reduced by up to 90 percent.

This optimization isn't just a cost factor – it often determines a product's scalability. Startups that learn early to use AI resources efficiently gain a crucial advantage.

Tests as the Foundation of Scaling

A recurring theme in Paul's explanations is the importance of testing and monitoring. "Tests aren't optional – they're the foundation for stable and scalable products," he emphasizes.

What's interesting is how AI is also revolutionizing test development. Through intelligent automation, comprehensive test suites can be created and maintained more efficiently, which is particularly crucial for growing teams.

Long-term Product Architecture

Many startups don't fail in the market, but under their own technical complexity. Paul Müller explains how to avoid having a product collapse under its own weight through good planning and thoughtful architecture.

The key lies in balancing rapid market entry with a sustainable technical foundation. "You have to think from the beginning about what the product should look like in two or three years," says Müller.

The Future of Product Development

Paul's vision for the future is clear: The ability to break down complex problems and solve them efficiently will become the superpower of the next generation of founders. AI won't replace human creativity, but amplify it.

The founders who will succeed are those who understand AI as a tool while mastering the fundamental principles of good product development. They use the speed of vibe coding without compromising quality.

Practical Implementation

For founders, this means concretely:

• –Invest in testing and monitoring from the start
• –Use AI tools strategically, not blindly
• –Systematically collect and implement customer feedback
• –Plan technical architecture with future scaling in mind
• –Keep AI model costs low through clever optimization

Paul Müller's experiences show: The path to a successful, scalable product leads through the intelligent combination of proven development principles with AI's new possibilities. Those who find this balance have the best chances of sustainable success.