According to @OnchainDataNerd, current blockchain valuation models are flawed, mirroring the dot-com era's misleading focus on 'eyeballs' over fundamentals. Existing crypto metrics like Monetary Store of Value (MSOV) or on-chain GDP fail to capture the true economic utility of networks because they treat them like private companies rather than public infrastructure. The author proposes a superior framework based on 'velocity and flow,' which measures the movement of assets through a blockchain's economy. This includes analyzing stablecoin turnover, DeFi lending volumes, NFT trading, and Real World Asset (RWA) tokenization. This model provides a more resilient way to measure trust and utility, crucial for assets like Ethereum (ETH), trading at $2,448.54, and Solana (SOL), priced at $149.71. The analysis highlights that the real value is demonstrated by the convergence of AI and Web3, pointing to firms like AI-safety leader Anthropic achieving a $61.5 billion valuation and Web3 fintech MANSA facilitating $92 million in payments with stablecoins. For traders, this signals a shift towards valuing sustainable economic activity and capital efficiency over speculative metrics.