Most “decentralized storage” pitches miss the real problem: availability with integrity at scale. If apps/agents can’t prove the data is there (and recover it under churn), you don’t have a data market you have a fancy link.

That’s why I’m watching @Walrus 🦭/acc

Walrus is built for blob-scale data, not tiny on-chain objects. Instead of 100x+ full replication, it uses modern erasure coding to hit ~4–5x overhead while staying resilient even when nodes fail. The key idea is simple: split big files into slivers, distribute them across many storage nodes, and make recovery proportional to what’s lost, not the entire dataset.

The result: a storage layer that can back real workloads AI datasets, model artifacts, media for onchain apps without pretending everything needs full blockchain replication.

And the token side matters because it ties usage → economics: $WAL is the payment + staking asset that secures who stores what, and aligns operators with uptime.

If 2026 is “agents + data,” then protocols that can certify availability are going to matter more than “faster TPS.” #Walrus