To improve hiring decisions, founders should proactively meet top performers in roles they anticipate needing in 2-3 quarters. This isn't for immediate hiring but to build a mental model of excellence for that specific function and stage, which sharpens intuition when you do start recruiting.

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.

To make a hire "weird if they didn't work," don't hire for potential or vibe. Instead, find candidates who have already succeeded in a nearly identical role—selling a similar product to a similar audience at a similar company stage. This drastically reduces performance variables.

To gauge a founder's drive and potential for greatness, ask if they have ever been in the top 1% of any field, even an esoteric one. This unconventional question serves as a powerful proxy for ambition and the willingness to push through challenges, regardless of their professional background.

Hiring managers often dismiss strong candidates by making snap judgments based on a resume. Focusing on the person behind the paper—their drive, skills, and potential—frequently reveals that the initially overlooked individual is the perfect fit for the role, according to executive search partner Mitch McDermott.

Ditch standard FANG interview questions. Instead, ask candidates to describe a messy but valuable project they shipped. The best candidates will tell an authentic, automatic story with personal anecdotes. Their fluency and detail reveal true experience, whereas hesitation or generic answers expose a lack of depth.

Upload interview transcripts and a job description into an AI tool. Program it to define the top criteria for the role and rate each candidate's transcript against them. This provides an objective analysis that counteracts personal affinity bias and reveals details missed during the live conversation.

Rejecting conventional headhunters and pedigrees, WCM actively sources talent from unique places. They successfully hired a key team member after discovering his insightful investment commentary on Twitter, where he was posting under a fake name, proving that talent can be found anywhere.

For cutting-edge AI problems, innate curiosity and learning speed ("velocity") are more important than existing domain knowledge. Echoing Karpathy, a candidate with a track record of diving deep into complex topics, regardless of field, will outperform a skilled but less-driven specialist.