AI × Web3 Hackathon, what’s often most lacking is not ideas, but the computing resources to quickly bring those ideas to life.

This time, as the official computing partner of Genesis Hackathon, we are launching a practical support program:
A total of $100,000 Credits, specifically for AI track participating teams.
Simply put, it’s providing developers who truly want to build AI Agents, on-chain intelligent entities, AI × Web3 DApps, or decentralized AI services, with a quota of computing power that can be directly used for model calls, testing, inference, and Agent deployment.
I think there are several key points worth noting:
First, resources are not only for top-tier teams.
As long as you register for Genesis and pass the AI track review, and create an account, each team can apply for a basic computing quota of $100–$300.
This is crucial for early-stage builders.
Many AI × Web3 projects don’t fail because of ideas, but because of validation stages:
High model call costs, demo failures, insufficient Agent behavior testing, on-chain interaction costs combined with AI inference costs, and before the project even reaches the showcase stage, the budget is already exhausted.
While the basic quota isn’t astronomical, it’s enough for teams to get their MVP up and running.
Second, resources will be tilted toward teams making real progress.
This isn’t a one-time distribution of Credits, but a “dynamic additional quota” design.
When a project makes substantial progress and has consumed over 50% of its basic quota, the team can apply for additional compute resources.
But the prerequisites are clear:
It’s not just about wrapping AI in a shell; it must have real AI × Web3 scenarios.
Proofs of progress such as demos, GitHub repositories, prototypes, videos, deployed contracts, etc., are required.
And teams need to outline their development plans and compute usage plans for the next 7–14 days.
This actually encourages a healthier hackathon rhythm:
Not just PPT startups,
Not just stacking concepts,
But doing, validating, and iterating simultaneously.
Third, the support isn’t just for “calling large models,” but for deeper AI infrastructure integration.
Teams that connect with Unified API, multi-model routing, Agent Wallet, x402 automated micro-payments, or the 8004 identity protocol will receive prioritized support and additional incentives.
I think this direction is very important.
Because the true imagination of AI × Web3 isn’t just “integrating ChatGPT into DApps.”
The bigger opportunities lie in:
Can AI Agents have identities?
Can they manage wallets?
Can they automate payments?
Can they make decisions based on on-chain data?
Can they perform tasks within real economic systems?
If an Agent only has conversational abilities, it’s just a smart customer service bot.
But if it has an identity, a wallet, payment capabilities, and on-chain execution abilities, it begins to approach a truly autonomous intelligent entity.
So, this compute support essentially provides AI × Web3 builders with an infrastructure entry point—from model calls to application deployment.
Fourth, the participation process for developers is also quite clear.
First, sign up for Genesis Hackathon and pass the AI track review.
Then, register an account.
Submit team and project information.
Once approved, the basic Credits will be issued within 48 hours.
After the project achieves phased results and has used over 50% of the Credits, you can apply for a Credit Boost.
This mechanism is quite friendly to teams genuinely working on projects because it doesn’t just look at reputation, but at whether you have continuous progress evidence.
I’ve always believed that the core competition in this round of AI × Web3 won’t just be about narratives.
Projects that can truly succeed will likely meet several conditions:
Clear scenarios,
Real user needs,
Verifiable on-chain logic,
Sustainable AI inference capabilities,
And ideally, agents with some degree of economic autonomy.
The hackathon’s purpose is to quickly bring these directions into practical reality.
If you’re working on AI Agents, on-chain data analysis, automated trading assistants, decentralized AI services, Agent Wallets, AI payments, or AI identity protocols, this $100,000 compute support plan from Genesis is definitely worth paying attention to.
What AI × Web3 needs most now isn’t more concepts, but more demos that can run.
Build Faster. Scale Smarter.
Registration link:

Additional compute application:

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