What I find interesting about Walrus isn’t the idea of storage itself, but the assumptions behind it. It starts from a simple truth: data doesn’t stop mattering after it’s uploaded. Real applications keep coming back to their data. They update it, verify it, reuse it, and build new logic around it as they grow.
Walrus feels designed around that ongoing relationship instead of treating storage as a final step. That small shift changes a lot. Storage becomes part of the application’s lifecycle not just a place where files sit quietly.
The incentive model follows the same thinking. Users pay for storage upfront, but rewards are distributed over time. Nothing feels rushed or optimized for short-term behavior.
It’s still early, and real usage will decide everything. But the way Walrus approaches data feels patient, practical, and aligned with how real products actually work.