I keep thinking OpenGradient’s Model Hub is being underestimated because a lot of people still look at it like a model shelf. To me, it looks more like the demand side of the network. Anyone can upload a model, it gets versioned, stored on Walrus, and made inference-ready without waiting for approval. That matters because the easier it is to publish and reuse models, the more the Hub starts acting like a marketplace instead of a database.

What really interests me is the incentive loop. OPG is meant to power payments, rewards, security, and governance, so the network is trying to connect model supply with real usage instead of just vanity listings. If builders actually route work through the Hub, the token has more than narrative value.

The part I still watch closely is execution. A permissionless hub can grow fast, but quality control, user retention, and repeat inference are the real test. The foundation says the ecosystem already has 2,000+ models and 2M+ inferences, which is a decent start, but the question is whether that activity compounds or stays surface-level.

To me, the bigger opportunity is not the models themselves. It is whether the Hub becomes the place where usage, not hype, decides what matters.

@OpenGradient #opg $OPG $VELVET $S