The story of the TPS race on public chains is almost coming to an end.

No matter how much computing power or speed is stacked up, if data processing can't keep up, applications won't run properly or at all. The real bottleneck has always been here—the data layer.

The Walrus project happens to be at this critical point. It didn't compete with other public chains for the "fastest" title, but chose a different path: building a data infrastructure that all chains could rely on. Through erasure coding and modular design, it ensures data decentralization while also providing true usability.

This type of project has a characteristic: it may not show much in the early stages, but later on, it becomes indispensable.

Imagine when more and more applications start to integrate it by default, and when the standards for the data layer are gradually locked in, you'll realize that the true moat has already been dug. By then, it will be too late to regret.

Following such projects is less about chasing the trend and more about seizing the next phase of the Web3 wave.