The highest-returning investments often face internal controversy. A sponsor's unwavering conviction, even against strong dissent (like a '1' vote for SpaceX), is the single most important factor. The sponsor forced partners to see the company firsthand to win them over.
Sequoia's founder Don Valentine advised partners to use a 2x2 matrix of founders you like vs. founders who make money. A VC's job is to find the quadrant that generates returns, as personal likeability can be a misleading signal for success. Arrogance, for instance, might be unlikable but effective.
Instead of only requesting positive references, Sequoia partner Doug Leone asks founders, "Who would be your worst reference and why?" The goal isn't to find perfection, but to assess the founder's clarity, honesty, and self-awareness in how they answer the unexpected and challenging question.
Sequoia's Alfred Lin cautions against assuming a stellar resume from a top tech company translates to founding success. An individual can be exceptional at executing within an established system (an "outlier operator") but lack the distinct skills required to build something from nothing (an "outlier founder").
Good references are insufficient; you need exceptional ones. Sean Maguire applies the chess ELO rating system to due diligence, arguing that only a top-tier individual can accurately identify another potential outlier. Merely "good" people often cannot spot true genius, making the source of the reference critical.
The perception that top deals simply call Sequoia is false. The firm's investment in Citadel Securities, which had never taken outside capital, was secured because a partner had built a multi-year mentorship with Ken Griffin since he was a student. This long-term, non-transactional approach wins exclusive deals.
To improve decisions, Sequoia now requires partners to contribute to deal memos asynchronously before a live meeting. This process encourages deep "slow thinking" and captures individual thoughts before group dynamics take over, complementing the "fast thinking" of the traditional IC discussion.
As AI moves from co-pilot to autopilot, companies can sell outcomes directly, not just tools. This creates an opportunity to build a "software company that masquerades as a service business," capturing the much larger services budget (a 6:1 ratio to software) while maintaining software-like margins by leveraging AI.
Soon, AI agents will make purchasing decisions for humans, creating a new economy that will dwarf human traffic. Businesses must shift from optimizing a "pixel-perfect" UI for humans to a "bits-perfect" platform for agents, focusing on API clarity, data structure, and overcoming agent biases.
To get past a founder's polished pitch and understand their core motivations, an investor must first open up themselves. By sharing personal stories of hardship, the investor creates an environment where the founder feels comfortable revealing their own authentic "spike" and resilience.
A founder's starting point matters as much as their achievements. A founder who overcame significant personal hardship to reach the same elite level as one from a privileged background has demonstrated a steeper trajectory and greater resilience, which is a powerful predictor of future success.
The belief that Sequoia waits for top deals to call them is "completely false." Every investor at the firm, regardless of seniority, is expected to be a "hunter" who actively sources and competes for investments. The culture is akin to a professional sports team where individual performance is demanded to win as a group.