Drawing from experience at big tech, Surge AI's founder believes large organizations slow down top performers with distractions. By building a super-small, elite team, companies can achieve more with less overhead, a principle proven by Surge's own success.
After 18+ months in the AI era, software companies that haven't re-accelerated growth have a team execution problem, not a market timing one. The capital and opportunities are too vast to miss. This failure to ship a relevant product and capture new revenue warrants drastic measures, including replacing a significant portion of the team.
Challenge the 'hire slow' mantra. Hiring is an intuitive guess, so act quickly. Once a person is in the organization, their performance is a known fact, not a guess. This clarity allows for faster decisions—both in removing underperformers and, crucially, in accelerating the promotion of superstars ahead of standard review cycles.
Resist hiring quickly after finding traction. Instead, 'hire painfully slowly' and assemble an initial 'MVP Crew' — a small, self-sufficient team with all skills needed to build, market, and sell the product end-to-end. This establishes a core DNA of speed and execution before scaling.
Contradicting the common startup goal of scaling headcount, the founders now actively question how small they can keep their team. They see a direct link between adding people, increasing process, and slowing down, leveraging a small, elite team as a core part of their high-velocity strategy.
Drawing on Pareto's Principle, true growth isn't about working harder. It comes from identifying the 20% of your work that creates the most impact and having the courage to strategically eliminate the other 80%. This disciplined pursuit of less leads to exceptional results rather than diluted focus.
Founders often start scrappy out of necessity and dream of lavish resources. However, once successful, many realize that small, lean, and scrappy teams are more effective. This creates a paradox where the most successful entrepreneurs intentionally revert to the resource-constrained mindset they once tried to escape.
Coastline Academy frames AI's value around productivity gains, not just expense reduction. Their small engineering team increased output by 80% in one year without new hires by using AI as an augmentation tool. This approach focuses on scaling capabilities rather than simply shrinking teams.
Staying lean is a deliberate product strategy. Bigger teams may build more features and go-to-market motions, but smaller, focused teams are better at creating simpler, more intuitive user experiences. Focus, not capital, is the key constraint for simplicity.
Powerful AI assistants are shifting hiring calculus. Rather than building large, specialized departments, some leaders are considering hiring small teams of experienced, curious generalists. These individuals can leverage AI to solve problems across functions like sales, HR, and operations, creating a leaner, more agile organization.
Gamma scaled to a $2B valuation with only 50 people by innovating on org design, not just product. They prioritize hiring generalists over specialists and use a 'player-coach' model instead of a traditional management layer. This keeps the team lean, agile, and close to the actual work.