At HubSpot, Elias Torres built an exceptional team, hiring future founders of companies like Klaviyo. His strategy was to ignore credentials and instead screen for hunger, grit, and intelligence through conversation. He believes giving people with non-traditional backgrounds a shot is key to finding outliers.

Treat hiring as a compounding flywheel. A new employee should not only be a great contributor but also make the company more attractive to future A-players, whether through their network, reputation, or interview presence. This focus on recruiting potential ensures talent density increases over time.

When hiring, prioritize a candidate's speed of learning over their initial experience. An inexperienced but rapidly improving employee will quickly surpass a more experienced but stagnant one. The key predictor of long-term value is not experience, but intelligence, defined as the rate of learning.

The ideal early startup employee has an extreme bias for action and high agency. They identify problems and execute solutions without needing approvals, and they aren't afraid to fail. This contrasts sharply with candidates from structured environments like consulting, who are often more calculated and risk-averse.

When building core AI technology, prioritize hiring 'AI-native' recent graduates over seasoned veterans. These individuals often possess a fearless execution mindset and a foundational understanding of new paradigms that is critical for building from the ground up, countering the traditional wisdom of hiring for experience.

Aravind Srinivas intentionally avoids hiring candidates with established track records from large tech companies. He believes people hungry for their first major success are more motivated and better suited for a startup's intensity than those who may be less driven after a previous big win.

Don't default to hiring people who have "done the job before," even at another startup. Unconventional hires from different backgrounds (e.g., archaeologists in customer success) can create unique creativity. The priority should be finding the right fit for your company's specific stage and needs, not just checking an experience box.

In rapidly evolving fields like AI, pre-existing experience can be a liability. The highest performers often possess high agency, energy, and learning speed, allowing them to adapt without needing to unlearn outdated habits.

Instead of recruiting for a job spec, Cursor identifies exceptional individuals and "swarms" them with team attention. If there's mutual interest, a role is created to fit their talents. This talent-first approach, common in pro sports, prioritizes acquiring top-tier people over filling predefined needs.