European Hypergrowth: The Hard Mode Advantage in AI

"We decided, let's build something for the 99% and not this productivity boost for developers. And that's going to be a completely new type of interface." This statement from Anton Osika, Co-Founder and CEO of Lovable, encapsulates the ambitious, user-centric vision driving a new wave of AI-native startups from outside Silicon Valley. In a recent "Long Strange Trip" interview, Brian Halligan, Co-Founder of HubSpot and Partner at Sequoia, spoke with Osika and Mati Staniszewski, Co-Founder and CEO of ElevenLabs, about navigating the unique landscape of European hypergrowth, the evolution of leadership, and the unpredictable pace of AI innovation.

The conversation revealed a compelling narrative of founders who, rather than being fresh out of university, leveraged significant prior professional experience to tackle monumental challenges. Mati Staniszewski reflected on the difficulty of starting ElevenLabs in his early twenties, admitting, "I think it would have been hard." His tenure at Palantir, a company known for deploying engineers directly to customers to understand and solve complex problems, was formative. It offered him a crucial "glimpse into how to build something from scratch," instilling a product-first mindset rooted in real-world pain points. Anton Osika, similarly, gained experience through a CERN internship and an e-commerce recommendation system startup, insights that proved invaluable when he decided to pursue his "most ambitious thing" yet. This maturation, both founders agreed, provided the foresight and practical understanding essential for their current hypergrowth trajectories.

The transition from a hands-on contributor to an empowering leader is a core challenge in any rapidly scaling venture. For Mati, the early days involved a deep dive into every aspect of the business, from legal to finance, often doing things himself. He noted the constant tension of wanting to stay involved while needing to delegate: "I hold on for too long like to do myself rather than delegate." His solution involves understanding the basics of each new domain, then hiring individuals "better than yourself" to lead those areas. Anton echoed this sentiment, emphasizing the shift towards "empowering, unblocking the leaders in the company." This strategic delegation, often to individuals with deep prior experience in specific functions like sales or marketing, allows predictable tasks to be handled effectively. Simultaneously, both leaders value "high-slope generalists" within their teams, individuals who can adapt quickly to the ever-changing AI landscape and be moved across different initiatives. The demanding nature of the CEO role, requiring constant context-switching, necessitates this blend of deep understanding and strategic detachment. "That balance of like how do you interact with that is is is a tricky thing," Mati observed.

Building a hypergrowth company from Europe presents a unique set of challenges, often dubbed "hard mode." Anton highlighted the less mature network and thinner executive bench compared to Silicon Valley. Mati pointed out that in many European countries, the value of equity is not as inherently understood or desired by potential employees. In some regions, he noted, they "almost force employees to take their equity." This requires founders to actively educate and convince talent and even their families about the long-term potential of startup opportunities.

Despite these hurdles, Europe offers distinct advantages. Both founders praised the exceptional talent pool, particularly in Central and Eastern Europe, where engineers are "yearning for a company that actually wants to build something generational, something big." This hunger, coupled with fewer local opportunities, makes European talent often more dedicated and less "entitled and spoiled" than their Silicon Valley counterparts. Anton also pointed to Europe's strategic time zone, which allows for effective overlap and collaboration with teams and customers across the US, Europe, and Asia. This confluence of hungry talent and strategic geographic positioning transforms Europe's "hard mode" into a competitive advantage.

In the rapidly evolving AI landscape, where the underlying tech stack can change every six months, traditional long-term planning is largely obsolete. "We've done very little planning," Anton admitted, a sentiment Mati echoed by stating, "Here we don't give any timelines, we do research initiatives we want to plan." The focus is instead on extreme nimbleness and lightweight, adaptable roadmaps, typically looking only six months ahead. For research-heavy companies like ElevenLabs, this means constantly monitoring breakthroughs, with Mati noting a mere "24 hours to start integrating that into your product" once new capabilities emerge. This agile approach, prioritizing rapid iteration and staying ahead of the technological curve, is crucial for survival and success in an industry moving at an unprecedented pace.

The journeys of ElevenLabs and Lovable underscore that hypergrowth in the AI era is not solely a Silicon Valley phenomenon. These European founders demonstrate that with resilience, strategic hiring, and an adaptive mindset, it is possible to build impactful, rapidly scaling companies. Their success hinges on transforming perceived disadvantages into unique strengths, navigating chaos with disciplined flexibility, and fostering cultures where ambition is matched by a pragmatic pursuit of innovation.