Contrary to the 'get in early' mantra, the certainty of a 3-5x return on a category-defining company like Databricks can be a more attractive investment than a high-risk seed deal. The time and risk-adjusted returns for late-stage winners are often superior.

A16z's "big venture" model was based on two core ideas: first, that Marc Andreessen's "Software is Eating the World" thesis would create 10x more viable companies, and second, that founders required a superior VC "product" with platform services that only scale could provide.

The most successful venture investors share two key traits: they originate investments from a first-principles or contrarian standpoint, and they possess the conviction to concentrate significant capital into their winning portfolio companies as they emerge.

a16z's investment philosophy is to assess founders on how world-class they are at their core strengths. Horowitz warns it's a mistake to pass on a uniquely talented founder due to fixable weaknesses (e.g., no go-to-market plan) and an equal mistake to back a less talented founder just because they lack obvious flaws.

Top growth investors deliberately allocate more of their diligence effort to understanding and underwriting massive upside scenarios (10x+ returns) rather than concentrating on mitigating potential downside. The power-law nature of venture returns makes this a rational focus for generating exceptional performance.

Top-performing, founder-led businesses often don't want to sell control. A non-control investment strategy allows access to this exclusive deal flow, tapping into the "founder alpha" from high skin-in-the-game leaders who consistently outperform hired CEOs.

A successful seed fund model is to first build a diversified 'farm team' of 20-25 companies with meaningful initial ownership. Then, after identifying the breakout performers, concentrate heavily by deploying up to 75% of the fund's capital into just 3-5 of them.

'Gifted TVPI' comes from consensus deals with pedigreed founders who easily raise follow-on capital. 'Earned TVPI' comes from non-consensus founders whose strong metrics eventually prove out the investment. A healthy early-stage portfolio requires a deliberate balance of both.

This provides a simple but powerful framework for venture investing. For companies in markets with demonstrably huge TAMs (e.g., AI coding), valuation is secondary to backing the winner. For markets with a more uncertain or constrained TAM (e.g., vertical SaaS), traditional valuation discipline and entry price matter significantly.