From the initial data storage to the current Programmability data chain. The evolution path of @irys_xyz actually reflects the development logic of the entire infrastructure.

🎯 Value Redefined

Irys is not just a simple storage project; it transforms the data itself into executable assets. By directly embedding smart contracts into the data, each piece of data can carry its own access rules, pricing mechanisms, and execution logic.

This design addresses the issue in the traditional data economy where data creators are unable to directly benefit from the value of their data. When data can be autonomously priced and automatically shared in profits, the value distribution logic of the entire 3 trillion dollar data market will be restructured.

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⚡️ Breakthrough in Technical Architecture

The multi-ledger system is the core innovation of @irys_xyz. Submit Ledger acts as a buffer layer for temporarily storing data, which is then verified and pushed to the Publish Ledger for permanent storage. This ensures data quality while achieving real-time responsiveness.

IrysVM, as an EVM-compatible execution layer, allows developers to program directly at the data level. It is no longer a separation of storage and computation, but rather data is code.

Cost control can also be highlighted. Compared to traditional Web2 cloud storage and other Web3 solutions, it is cheaper, and the stable pricing model eliminates the hassle of fluctuating costs.

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📈 Market Performance

The brand upgrade of Irys is fundamentally a shift in product positioning. The latest $10 million Series A financing, led by CoinFund, brings the total financing to $20 million.

Testnet data: Over 600 million transactions processed, supporting 4 million daily active wallets. Over 80 AI project partners, including various AI agents and decentralized reasoning networks.

The timeline for the Q4 mainnet launch + TGE coincides with the explosive demand for AI infrastructure.

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I personally believe that the greatest value of @irys_xyz lies not in optimizing within the existing framework, but in redefining the important role of data.

When data truly becomes Programmability, tradable, and autonomously executable assets, what we see is not only a reduction in storage costs but also a transformation in the value creation and distribution mechanisms within the entire AI economy.