Have you ever wondered why so many Web3 projects collapse shortly after launch? It's either a plummet in token prices or evaporating liquidity. In short, the root cause is that many projects' economic models have not been validated at all, relying solely on emotions and imagination. What @almanak aims to do is turn "assumptions" into "calculable models." It is not about creating new tokens or launching new chains, but rather providing a digital twin system for token economic models. Before a project's TGE, the team can run the entire economic system in a virtual environment to conduct real simulations: Simulating selling pressure in extreme market conditions; Testing whether the incentive loop can maintain stability; Checking if the liquidity pool will be overwhelmed. It's like conducting a "token life-and-death drill" in advance. If the model collapses here, at least they won't burn money trying to troubleshoot on the mainnet. For us investors, this is essentially a signal filter. A team willing to use Almanak for stress testing at least shows that they are serious about building, rather than just relying on vibes to create buzz. Even better, they have introduced AI agents that continuously allow the simulation system to learn and optimize itself, enabling each model to "evolve" within the data. So when I saw them postpone the TGE, I actually felt this is how a reliable project should behave— not rushing to launch, not relying on hype, but confirming that the system is stable before letting the market test it. The future watershed of Web3 lies not in narratives, but in validation. And Almanak is setting a new standard for this validation.