While a strong business model is necessary, it doesn't generate outsized returns. The key to successful growth investing is identifying a Total Addressable Market (TAM) that consensus views as small but which you believe will be massive. This contrarian take on market size is where the real alpha is found.
Initial data suggested the market for design tools was too small to build a large business. Figma's founders bet on the trend that design was becoming a key business differentiator, which would force the market to expand. They focused on building for the trend, not the existing TAM.
A "golden category" is a market that adds at least one billion dollars of net new ARR in a single year across all products. Identifying these categories, like code generation today, is crucial for multi-stage funds. The immense market pull means they are almost guaranteed to produce massive outcomes, making it essential to have a bet in the space.
For venture capitalists investing in AI, the primary success indicator is massive Total Addressable Market (TAM) expansion. Traditional concerns like entry price become secondary when a company is fundamentally redefining its market size. Without this expansion, the investment is not worthwhile in the current AI landscape.
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.
When evaluating revolutionary ideas, traditional Total Addressable Market (TAM) analysis is useless. VCs should instead bet on founders with a "world-bending vision" capable of inducing a new market, not just capturing an existing one. Have the humility to admit you can't predict market size and instead back the visionary founder.