Relevance Decays

Venture investing is unusually time-dependent. Early-stage judgment depends on live context: who is building now, what has recently become possible, and what excellence looks like at inception. It is less like accumulated wisdom and more like an athlete’s motion, learned through repetition, strengthened by use, quietly lost through disuse, and constantly evolving as the global standard of play changes. That judgment only stays sharp through sustained exposure. Being in market—meeting founders, seeing incomplete ideas, and engaging with new technical primitives—is not a sourcing tactic; it is the work. The “time = 0” problem is especially acute because exceptional founders rarely look legendary at the start. Before companies scale and CEOs are canonized (and their early weaknesses forgotten), greatness shows up as clarity of thought, speed of learning, and intensity around unsolved problems. Investors who are not regularly meeting founders lose the ability to recognize these early signals and instead anchor on traits that only emerge after success. This matters even more now because AI-native companies operate on a different cadence than SaaS did five years ago. In SaaS, execution quality often revealed itself over years through go-to-market discipline, incremental product depth, and organizational scaling. In AI-native companies, those same signals can surface, or collapse, within months as model capabilities, cost curves, and product surfaces shift underneath the team. Intuition formed in a prior generation often misfires unless it is constantly recalibrated against what is being built today. The investors who endure try to find the invariance, the elements of company building and human behavior that persist across decades even as technologies change. One such invariant is rate of learning: how quickly teams and individuals absorb new information, update beliefs, and change course. But even invariance is hard to separate from noise without constant exposure. Only by staying in market can investors distinguish what is truly durable from what was merely optimal in a past cycle. Some learning in venture can be transmitted through apprenticeship. Relationships, stories, judgment calls, and the texture of founder interactions compound when less experienced investors work closely with those who have lived through multiple cycles. That transfer matters, but it is incomplete. Other aspects, especially risk calibration under real conditions, require firsthand exposure over time. You cannot outsource the pain of being wrong, or relearning the difference between “very good” and "exceptional" looks like, to someone else. This is also why less experienced investors can still be exceptional, and founders should work with them! Like founders—who are almost always inexperienced relative to the scale of what they are attempting—they often reason from first principles rather than inherited pattern matching. That fresh thinking can be a real advantage. But it compounds best when paired with deep market exposure, tribal knowledge, and a network of relationships that a founder can leverage. Judgment must be calibrated against reality rather than theory. In our partnership, judgment is formed in different ways, starting young or transitioning from other investing or building roles, but it only stays sharp through sustained exposure rather than reliance on prior success. As investors grow wealthier and more established, complacency becomes the default—often disguised as selectivity, brand leverage, or the belief that only a small number of meetings are “worth the time.” Networks harden. Exposure narrows. The decay is gradual but real. This is how once-great investors become less relevant, even as their track records continue to command respect. Founders and LPs should be careful about selecting investors based solely on prior wins rather than current immersion. This is one reason we believe small partnerships have greater durability and stronger performance over the long run than individuals. The advantage is not that partners are uniformly better, but that partnerships allow different strengths to be pulled forward at different moments—fresh thinking from one partner, pattern recognition and historical context from another. Judgment becomes legible and contestable. Apprenticeship becomes continuous rather than episodic. This dynamic shapes how we think about building our own firm. We are always recruiting investors at Conviction, and the central question is what kinds of risk to take on in hires. We expect people to stay deeply in market, to keep forming judgment rather than protecting it, and to earn relevance repeatedly rather than rely on past success. Venture is a tail business. Relevance must be earned continuously—and the more success you’ve had, the easier it is to believe you no longer have to.