One emerging AI platform has accumulated over 120,000 AI models in its marketplace, marking significant growth in the space. What's interesting about their strategy: they're deliberately prioritizing app development and on-chain utility before rolling out their core infrastructure layer. This phased approach seems pragmatic—get real usage first, then scale the backbone. Of course, plenty of early adopters remain on the waitlist, which is typical for platforms managing rapid user onboarding. The model aggregation numbers are impressive, but execution on the utility side will ultimately determine whether this gains real traction in the AI×crypto ecosystem.