Anton Osika doesn’t believe in résumés. He doesn’t believe in traditional job interviews either. The 28-year-old founder and CEO of Lovable, a Stockholm-based AI startup that lets users build software applications by describing what they want in plain English, has constructed a hiring system so unusual it reads like a manifesto against conventional talent acquisition.
His company is growing at a pace that makes most venture-backed startups look sluggish. And the way he’s building his team is as unconventional as the product itself.
Lovable reached $25 million in annual recurring revenue within just three months of launching, according to Business Insider. It hit $50 million ARR by month five. The company now has roughly 100 employees and continues to hire aggressively — but on terms that would make most HR departments deeply uncomfortable.
Osika’s hiring philosophy centers on what he calls “founder DNA.” Not a metaphor. He means it almost literally. Every candidate goes through a process designed to identify a specific psychological and behavioral profile: people who think like founders, act like founders, and — critically — don’t need to be managed like employees.
Founder DNA: The Personality Test That Replaces the Interview
The concept is deceptively simple. Osika wants every person at Lovable to operate as if they own the company. Not in the equity-vesting, stock-option sense that Silicon Valley has long used as a carrot, but in the operational sense — taking initiative without permission, making decisions without consensus, and treating the company’s problems as their own.
To find these people, Lovable has built a multi-stage hiring process that filters ruthlessly. Candidates don’t just submit applications. They complete what the company describes as “founder-mode assessments” — open-ended challenges that test how someone thinks when there’s no clear instruction, no rubric, and no right answer.
One example: candidates might be given a vague product problem and 48 hours to come back with a solution. Not a presentation. Not a slide deck. A working prototype, a strategic plan, or a concrete proposal that demonstrates they can move from ambiguity to action without hand-holding.
The interviews themselves, when they happen, are structured around behavioral signals that Osika and his team have identified as predictive of founder-like behavior. Have you started something from scratch? Have you failed publicly and kept going? Do you default to asking for permission or forgiveness?
Short answers matter more than polished ones.
“We’re not looking for people who are good at interviewing,” Osika has said. “We’re looking for people who are good at building.”
This philosophy extends to how the company is structured internally. Lovable operates with minimal hierarchy. Teams are small, autonomous, and expected to ship fast. There are no lengthy approval chains. The assumption is that if you’ve passed through the hiring filter, you don’t need oversight — you need runway.
It’s a model that borrows heavily from the ethos of companies like Stripe and early-stage Shopify, but pushes the concept further. Where those companies maintained traditional management layers as they scaled, Lovable is betting it can maintain a flat, founder-driven culture well past 100 employees.
Whether that bet pays off at 500 or 1,000 employees remains an open question. Flat organizations have a well-documented tendency to develop shadow hierarchies — informal power structures that are often less transparent and less equitable than the formal ones they replace. Valve, the gaming company, famously operated without managers for years before quietly acknowledging that the system created its own problems.
But Osika appears unconcerned with precedent. His company is building a product that challenges fundamental assumptions about who can create software. It makes sense that he’d challenge fundamental assumptions about who can build a company, too.
Vibe Coding and the Collapse of the Technical Hiring Moat
Lovable sits at the center of what Andrej Karpathy, the former Tesla AI director and OpenAI researcher, dubbed “vibe coding” — the practice of building software not by writing code line by line, but by describing desired functionality to an AI system that generates the code for you. The term, which Karpathy coined in early 2025, has become shorthand for a broader shift in how software gets made.
The implications for hiring are profound. If AI can generate functional code from natural language prompts, the traditional premium on deep technical expertise — years of experience in specific programming languages, computer science degrees from elite universities — starts to erode. What matters instead is taste. Product instinct. The ability to articulate what should exist and why.
This is precisely the kind of person Lovable’s hiring process is designed to surface. Not the best coder. The best thinker.
The vibe coding movement has accelerated rapidly in recent months. Tools like Lovable, Bolt, and Replit have gained significant traction among non-technical founders, designers, and product managers who previously couldn’t build software without hiring engineers. Y Combinator reported that a notable percentage of its recent batch included startups where much of the initial codebase was AI-generated.
For Lovable specifically, this creates a fascinating recursive loop: the company’s own product reduces the need for traditional software engineers, and its hiring process reflects that same philosophy internally. Osika has been open about the fact that not everyone at Lovable is a traditional engineer. Many come from product, design, or even non-tech backgrounds — people who understand what users need and can work with AI tools to build it.
This doesn’t mean Lovable has no engineers. It does. But the engineering team’s role looks different from what you’d find at a conventional SaaS company. They’re building the AI infrastructure, the underlying models, the platform architecture. The product surface — what users interact with — is increasingly shaped by people whose primary skill is judgment, not syntax.
It’s a division of labor that may preview how many software companies will operate within a few years.
The broader industry is watching closely. Cursor, another AI-powered coding tool, has also seen explosive growth. GitHub Copilot, backed by Microsoft, continues to expand its capabilities. Amazon’s CodeWhisperer, Google’s Gemini Code Assist — the list of entrants grows monthly. But Lovable’s positioning is distinct: it targets people who have never written code at all, rather than augmenting existing developers. That’s a different market with different dynamics.
And it demands a different kind of team.
The Risks of Building a Company Like a Cult
There’s a fine line between a high-performance culture and an exclusionary one. Critics of founder-mode hiring argue that it systematically disadvantages people who don’t fit a narrow archetype — typically young, unattached, willing to work extreme hours, and comfortable with ambiguity to the point of chaos.
That profile skews male. It skews toward people without caregiving responsibilities. It skews toward those with financial safety nets that allow them to take risks without catastrophic consequences. When you select for “founder DNA,” you may be selecting for privilege as much as aptitude.
Osika has pushed back on this characterization, arguing that founder DNA is about mindset, not demographics. He points to the diversity of backgrounds among Lovable’s hires — people from different countries, different industries, different levels of formal education. The company is headquartered in Stockholm but hires globally, and Osika has emphasized that geographic and educational pedigree are irrelevant to his process.
Still, the proof will be in the data. As the company scales, the composition of its workforce will either validate or undermine the claim that founder-mode hiring can be genuinely inclusive.
There’s also the question of sustainability. Companies built around intense, founder-like energy from every employee tend to burn bright and fast. The early returns at Lovable are extraordinary — $50 million ARR in five months is a number that would make most enterprise software companies envious. But maintaining that velocity requires maintaining that culture, and culture is the first thing to fracture under the pressure of rapid scaling.
Osika seems aware of this. In interviews, he’s spoken about the importance of hiring slowly even when growth demands speed — a tension that every fast-scaling startup confronts but few resolve gracefully. His solution, so far, has been to make the hiring bar so high that the people who clear it are self-sustaining. They don’t need culture to be maintained for them. They are the culture.
It’s an elegant theory. The next 18 months will determine whether it’s also a practical one.
The AI-powered development tool market is projected to grow substantially through the end of the decade, with some analysts estimating it could reach $30 billion or more by 2030. Lovable, with its early traction and unconventional team-building approach, is positioned as one of the most closely watched companies in this space. But position isn’t destiny. Execution is. And execution, ultimately, comes down to people.
Which brings everything back to hiring.
Osika is making a bet that the best way to build a company in the age of AI is to hire people who don’t need a company — people who would build something on their own if they weren’t building with you. It’s a philosophy that inverts the traditional employer-employee relationship. The company doesn’t offer stability. It offers leverage — in the mechanical sense, not the corporate jargon sense. A place where individual effort gets multiplied by AI tools, small teams, and minimal bureaucracy.
Whether that model can sustain itself through the inevitable challenges of scaling — competition, regulation, market shifts, internal politics — is the central question hanging over Lovable’s future. So far, the answer has been an emphatic yes. But “so far” is a short timeline in a fast-moving market, and the companies that look invincible at $50 million ARR are not always the ones that reach $500 million.
What’s undeniable is that Osika has articulated a vision for hiring that resonates deeply with a generation of builders who feel constrained by traditional corporate structures. The founder DNA concept, for all its potential blind spots, captures something real about what it takes to build in uncertain conditions with imperfect information and limited resources. That’s not just a startup skill. Increasingly, it’s the baseline requirement for anyone working in technology.
And if Lovable’s growth trajectory holds, the company won’t just be a case study in AI-powered software development. It’ll be a case study in whether you can scale a company by refusing to hire anyone who thinks like an employee.
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