From data storage at the beginning to programmable data chains now. @The evolutionary path of irys_xyz actually reflects the development logic of the entire infrastructure. Redefining Value Irys is not a simple storage project, but rather turns data itself into executable assets. By embedding smart contracts directly into data, each piece of data can have its own access rules, pricing mechanisms, and execution logic. This design solves the problem in the traditional data economy where data creators cannot directly benefit from the value of data. When data can be priced and automatically distributed, the value allocation logic of the entire $3 trillion data market will be restructured. ————————————————————————— ⚡ Breakthrough in Technical Architecture The multi ledger system is the core innovation of @ irys_xyz. Submit Ledger as a buffer layer to temporarily store data, and push it to Publish Ledger for permanent storage after verification. It ensures both data quality and real-time response. IrysVM, as an EVM compatible execution layer, allows developers to program directly at the data level. It's no longer about separating storage and computation, but about data as code. Cost control is also commendable. Compared to traditional Web2 cloud storage and other Web3 solutions, it is cheaper, and the stable pricing model eliminates the problem of fluctuating costs. ————————————————————————— market performance The brand upgrade of Irys is driven by a fundamental shift in product positioning. The latest $10 million Series A funding round, led by CoinFund, has raised a total of $20 million. Test Network Data: Processed over 600 million transactions and supports 4 million daily active wallets. More than 80 AI project partners, including various AI agents and decentralized inference networks. The Q4 mainnet launch+TGE timeline coincides with the explosive period of AI infrastructure demand. ————————————————————————— I personally believe that the greatest value of @ irys_xyz lies not in optimizing within existing frameworks, but in redefining the important role of data. When data truly becomes programmable, tradable, and autonomously executable assets, what we see is not only a reduction in storage costs, but also a change in the value creation and distribution mechanism of the entire AI economy.