Why Leaping AI Focused on the USA and One Vertical After YC to Scale

Quit on May 9th, founded on May 10th – Kevin Wu has taken a remarkable path with his AI startup Leaping AI. After his time at Y Combinator (YC W25), he's building a self-learning platform for voice agents that revolutionizes call centers and already generates seven-figure revenues.

From BCG to AI Revolution

Kevin Wu brings an unusual combination of experiences: After his first startup attempt at 19 and subsequent consulting experience at BCG, he jumped into his next venture without hesitation. "The perfect timing doesn't exist," Kevin explains his philosophy. What started as a wine trading prototype evolved into an AI platform that now processes up to 300,000 calls per day.

Leaping AI transforms how companies communicate with customers. Instead of waiting hours for callbacks, the AI answers customer inquiries in seconds. An impressive example: For one client, Leaping AI increased daily appointments by 50% within a week – through AI callbacks that happen in 10 seconds instead of hours.

Two Markets, Two Strategies

Particularly interesting is Kevin's market approach: In Germany, Leaping AI sells horizontally across various industries, while in the USA, the company focuses 100% on home remodeling. This verticalization enables better understanding of specific industry needs and more targeted development.

"Revenue-generating instead of cost-saving is the crucial sales pitch," Kevin emphasizes. While traditional call center solutions are often seen as cost factors, Leaping AI positions its technology as a revenue generator. With clients like Eurowings, the startup has already proven that voice AI can do more than just save costs.

San Francisco as AI Gravity Center

The decision to expand to San Francisco was strategically calculated. "SF is the gravity center for AI startups," Kevin explains. The proximity to foundation model labs and the Valley's ambition culture offer unique opportunities. Success stories like Afterquery, which scaled from 0 to $100 million run rate in one year, demonstrate the potential.

The cultural difference between German and US companies is clearly noticeable: German firms often focus on preservation, while US companies are more open to AI adoption. This insight influences both product development and sales strategy.

Data Labeling as Second Pillar

Beyond the voice AI platform, Leaping AI has developed data labeling as a second business area. With companies like Anthropic willing to spend $30 billion on data acquisition, the enormous potential in this field becomes clear. This diversification not only strengthens the revenue base but also creates synergies for the main platform.

Fundraising Realities in Difficult Times

Current fundraising conditions are challenging. Even companies with $4-6 million ARR face difficulties in Series A rounds, as every fund is looking for the next fund returner. Kevin emphasizes: "Story is at least as important as revenue for fundraising."

Irrational valuations in the USA are often temporary and driven by success stories like Anthropic and Lovable. This dynamic requires founders to take a balanced approach between ambition and realism.

The Founder Mindset: Mastering the Emotional Rollercoaster

Entrepreneurship fundamentally changes emotional perception. "You learn to be neither extremely happy nor extremely sad," Kevin describes his development. This emotional stability is crucial for long-term success.

For technical founders, Kevin identifies go-to-market as the most underestimated skill. The best technology is useless without the right marketing strategy – a lesson many tech founders learn too late.

Three Core Messages

Kevin summarizes his experiences in three key messages:

• –Demo first: Showing is more important than explaining
• –Smart hiring: Finding the right people at the right time
• –Courage to found: The perfect moment never comes – you have to create it

Leaping AI impressively demonstrates how thoughtful market strategies, technical excellence, and cultural understanding can be combined. By focusing on different approaches in Germany and the USA, Kevin Wu has found a way to combine global scaling with local adaptation.