Recently, a project called Walrus has caught my attention, but not because of concept hype—rather, its implementation approach to "storage" is genuinely different.
Let's first look at the core design: Walrus adopts a blob storage plus erasure coding solution, which is completely different from the traditional full data replication approach. What does this mean? It encodes the original data, and the storage volume expands roughly 5 times—at first glance this seems wasteful, but in distributed systems this is actually a fairly restrained solution. What's really interesting is the logic chain that follows: using Sui as the control plane to handle registration, shard scheduling, and ultimately generate verifiable availability proofs. This entire process makes data truly programmable, rather than simply stuffing it into hard drives.
From a project progress perspective, mainnet launch is scheduled for March 27, 2025, and prior to that it completed a substantial financing round—industry reports indicate token sales at approximately the $140 million scale. This isn't about dreams; it's about genuinely solving the heavy data problem faced by on-chain applications—training data for AI agents, asset libraries in games, media files like video and audio, and emerging fields like data trading markets.
But I have to be honest: the value logic of $WAL isn't about consensus mechanisms, but rather whether the closed loop of "real storage demand + pricing system + node incentives" can actually operate. If you only focus on token price fluctuations, you're essentially missing the point. The real test for this project is: how many developers in the ecosystem will actually store data here and whether they'll maintain long-term payments. That's what determines how far it can go.
Recently, a project called Walrus has caught my attention, but not because of concept hype—rather, its implementation approach to "storage" is genuinely different.
Let's first look at the core design: Walrus adopts a blob storage plus erasure coding solution, which is completely different from the traditional full data replication approach. What does this mean? It encodes the original data, and the storage volume expands roughly 5 times—at first glance this seems wasteful, but in distributed systems this is actually a fairly restrained solution. What's really interesting is the logic chain that follows: using Sui as the control plane to handle registration, shard scheduling, and ultimately generate verifiable availability proofs. This entire process makes data truly programmable, rather than simply stuffing it into hard drives.
From a project progress perspective, mainnet launch is scheduled for March 27, 2025, and prior to that it completed a substantial financing round—industry reports indicate token sales at approximately the $140 million scale. This isn't about dreams; it's about genuinely solving the heavy data problem faced by on-chain applications—training data for AI agents, asset libraries in games, media files like video and audio, and emerging fields like data trading markets.
But I have to be honest: the value logic of $WAL isn't about consensus mechanisms, but rather whether the closed loop of "real storage demand + pricing system + node incentives" can actually operate. If you only focus on token price fluctuations, you're essentially missing the point. The real test for this project is: how many developers in the ecosystem will actually store data here and whether they'll maintain long-term payments. That's what determines how far it can go.