Many blockchain protocols look lively and bustling, but the truly lasting ones are few and far between.

Recently, observing Walrus's on-chain performance, the most interesting thing isn't how many new concepts have been packaged in, but that the data itself is beginning to show long-term accumulation.

From on-chain behavior, Walrus's current storage object scale has reached hundreds of millions. But that's not the main point—the key is that this data isn't flowing in and out quickly, but remains there continuously. What does this persistence indicate? It shows that the applications using it are not just experimenting in the short term, but treating it as a genuine long-term solution.

A particular detail that highlights the issue: data stored for over 30 days and still being frequently accessed accounts for nearly 50%.

What does this mean? Walrus is supporting "live data," not dead data stored in cold storage. Users might not notice this change at all. You don't think about where the data is every day, but at some moment, you'll suddenly realize that these things have been running around your environment for a long time.

Once data starts "running alongside," the protocol's identity changes. It transforms from a tool into infrastructure.

These kinds of projects often go unnoticed during their most lively periods, but will be revalued at a certain point. Because the market suddenly awakens to the fact: it turns out that so many real behaviors have been happening all along, only no one has paid attention yet.