Most projects tend to follow a similar pattern—launch first, see if it works, and that's enough. How about the long term? That's a story for another time.

Walrus has turned this idea upside down.

From the moment the project starts, the entire architecture is designed with the goal of "data still exists after ten years." It's not about asking "Can I read it now," but "What about five years from now"? It sounds simple, but in reality, the design logic of the two is completely different.

In Walrus's network, every piece of data is split, encoded, and dispersed across different nodes, with cryptographic verification added. You don't need to trust any node claiming "I'm always online," because you can verify it yourself. This mechanism is called verifiable proof, and it's the core of preventing deception.

Now, Walrus has set an interesting goal: even if node downtime reaches 20%-30%, the data can still be fully recovered. This number isn't pulled out of thin air; it's derived from actual network failure models. This shows the team has done their homework.

Why does this matter?

Because truly valuable data isn't "the price of a certain coin at a certain moment," but a person's historical behavior, content they've posted, identity records, and account status. These things become more valuable the longer they exist. Walrus happens to be doing exactly that.

So, what you see is: the fastest-growing part of the Walrus ecosystem isn't DeFi protocols, but content platforms, AI Agents, social applications, and on-chain games. Do these projects have anything in common? Only one— their value itself increases over time. The more history they accumulate, the greater their value.

The core logic of Walrus is: you don't need to bet on what might happen; you just need to hand your data over to a sufficiently decentralized, non-single point system.