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.
To differentiate hype from reality, seed investors should practice "vibe coding": daily, hands-on experimentation with new developer tools. This provides an intuitive understanding of current technological capabilities, leading to better investment decisions and inoculating them against unrealistic expectations.
While Bitcoin's code can be copied, its core innovation—verifiable absolute scarcity—cannot be replicated. It was a one-time discovery, like the number zero. Any subsequent digital asset lacks the pristine origin and established network effect, making Bitcoin a unique, non-disruptable phenomenon rather than just another technology.
Drawing parallels to closed-end funds, Berkshire Hathaway, and well-managed banks, analyst Andy Edstrom argues against high MNAV (multiple of net asset value) multiples for Bitcoin treasury companies. Historical precedent suggests these firms should trade between a slight discount (0.8x) and a modest premium (2-2.5x MNAV), not the extreme valuations seen previously.
Intangibles can be systematically analyzed by categorizing them into four key pillars: intellectual property, brand equity, human capital, and network effects. This framework helps investors move beyond traditional accounting metrics to assess a company's true value.
To overcome accounting's focus on historical costs, quantitative investors use unstructured data from sources like patent filings, trademarks, and LinkedIn profiles. This approach quantifies the actual output and quality of a company's intellectual property and human capital.
Kyle Samani is "intellectually short" Bitcoin because he sees it as an unproductive asset. He argues platforms like Ethereum and Solana offer the same core benefits—a fixed, code-defined supply—while also being economically productive. This makes them a superior long-term asset class from a first-principles perspective, despite his firm holding some Bitcoin financially.
Financial models struggle to project sustained high growth rates (>30% YoY). Analysts naturally revert to the mean, causing them to undervalue companies that defy this and maintain high growth for years, creating an opportunity for investors who spot this persistence.
Successful crypto projects will move beyond pure financial utility. By building in social components (community identity) and emotional components (contributing to a social good), they can build the trust and narrative strength needed to stand out in a crowded market.
Multicoin's central thesis is that crypto's ultimate purpose is creating "Internet Capital Markets"—the ability to trade any asset, from anywhere, 24/7, via any software. This broad vision of permissionless, programmable finance is seen as the most significant long-term impact of blockchain, destined to supersede more niche consumer applications or "Web3" concepts.
For AI agents to be truly autonomous and valuable, they must participate in the economy. Traditional finance is built for humans. Crypto provides the missing infrastructure: internet-native money, a way for AI to have a verifiable identity, and a trustless system for proving provenance, making it the essential economic network for AI.