Many people use short-term gains as a basis for evaluating projects like data storage, often ending up disappointed. But if you look at it from the perspective of the long-term evolution of Web3 infrastructure, you'll find that these seemingly dull directions are actually "slow-burning players."

What is the real challenge facing the Web3 ecosystem today? It's not a lack of applications, but that applications can't grow big. Once the data volume increases, on-chain costs spiral out of control. Choosing off-chain solutions is equivalent to giving up decentralization and trustworthiness. The result is that many projects remain stuck in the dead end of "small and beautiful."

Data storage protocols aim to solve exactly this structural contradiction. Their ambition isn't to serve a single application as a side dish, but to build a scalable, censorship-resistant, cost-controlled infrastructure for the entire ecosystem. They seek to find a balance between storage security and economic efficiency through underlying technologies like erasure coding.

What changes does this bring? Simply put, Web3 developers can finally handle large-scale data with confidence, just like Web2, without repeatedly calculating costs for each write. The liberation of application innovation is exponential.

Of course, risks must be acknowledged: competition in the data storage track is intense, and long-term adoption by the ecosystem is needed to validate progress; as infrastructure, value realization is inherently slow; and it also depends on the overall activity level of Web3.

But from another perspective, it is precisely because of these constraints that truly patient and visionary builders are filtered out.