The static size of a Total Addressable Market (TAM) is a misleading metric for big ideas. A better evaluation framework focuses on two questions: Will the product's innovation cause the existing TAM to grow multiple times over? Can the company layer on additional, new TAMs over its lifetime?

The Ridges coding assistant, built on BitTensor, achieved performance comparable to VC-backed giants like Cursor and Claude. It accomplished this with only $10M in token subsidies, showcasing a capital-efficient, decentralized model for competing with heavily funded incumbents.

Lightspeed justifies investing in competing LLMs (xAI, Anthropic, Mistral) by viewing them as distinct software platforms targeting different markets (consumer, enterprise, open-source), not as interchangeable competitors. This framing enables a portfolio approach to the foundational AI layer.

Early-stage investors shouldn't be deterred by a small current market size. The key is assessing the potential for rapid growth and future scale. Many massive companies emerged from markets that initially appeared small, proving that market creation and expansion are critical variables.

Traditional value metrics don't apply to crypto. However, an "intangible value" factor can be constructed by analyzing fundamental on-chain data—such as developer commits on GitHub, daily active wallets, and transaction volume—to identify undervalued projects.

BitTensor's model allows skilled developers anywhere to contribute to AI projects and earn significant token rewards, regardless of location or access to venture capital. This parallels how Bitcoin mining created a market for underutilized, "stranded" energy sources.

A16Z's crypto fund prioritizes founders who have spent their careers deeply immersed in a specific sub-industry, even if it's outside crypto. This deep understanding of a problem set, like traditional finance rails or restaurant tech, is a crucial ingredient for success when applying blockchain solutions.

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.

Instead of solving arbitrary math problems, BitTensor's blockchain incentivizes miners to contribute to building and improving AI products on its subnets. This shifts from proof-of-work for security to proof-of-work for tangible product creation, funded by token emissions.