How Much Code Do You Actually Own? 🤔

As developers, we pour weeks (sometimes months) into training AI models, writing smart contracts, or scaling apps. But there’s a question we rarely ask ourselves:

👉 How much of that code do we actually own?

Think about it:

• Your logic often runs on cloud platforms you don’t control.
• Your models live behind opaque APIs you can’t fully verify.
• Your execution depends on servers you don’t own.

At the end of the day, are we really creating assets — or just renting infrastructure?

Rethinking Ownership in AI & Web3

What if ownership meant more than just having source code in a repo?
What if your model, your logic, your app could:

✅ Have an on-chain identity (with transparent proof it’s yours).
✅ Run directly on decentralized compute, not on rented servers.
✅ Earn for itself (and you) every time it executes.
✅ Be licensed, sold, or traded like true IP.

That’s the vision we’re building at haveto.com, where developers can deploy AI models and functional logic directly on-chain, using the languages they already know (Python, Go, Rust, etc.), without having to rewrite everything in Solidity.

Why This Matters

This shifts AI from being “just code” to being:

• A revenue-generating asset
• Fully owned by its creator
• Transparent and verifiable (outputs you can trust)

It means developers and startups aren’t just pushing code anymore, they’re creating digital assets with real value.

Let’s Discuss

💭 If your AI models and logic could live fully on-chain, with proof of ownership and direct monetization, how would that change the way you build?

👇 Share your thoughts, I’d love to hear from the dev.to community.

🔗 haveto.com