# Grant Program

The Mazze Grant Program is designed to accelerate growth across the ecosystem. It targets developers, researchers, and teams building useful infrastructure and applications on Mazze.

### <mark style="color:orange;">**Why Apply for the Mazze Grant?**</mark>

* Developers can build on Mazze's PoW + DAG/DETS architecture and current privacy stack.
* Grants are available in MAZZE tokens or USDT, offering flexibility and financial stability for your projects.
* Gain access to a community of experts, resources, and potential partnerships within the Mazze ecosystem.

### <mark style="color:orange;">**Eligibility and Application**</mark>

The grant program is open to developers, startups, and researchers proposing projects that contribute to scalability, privacy tooling, developer infrastructure, and ecosystem adoption.

### <mark style="color:orange;">**Benefits of the Grant Program**</mark>

* By providing financial and technical support, we aim to bring the best minds to develop on Mazze.
* Encourage a range of use cases, from DeFi to supply chain solutions, expanding the utility of MAZZE.
* Strengthen the Mazze community, fostering a robust and diverse network of users and developers.

### <mark style="color:orange;">**Join Us in Shaping the Future of Blockchain**</mark>

If you're passionate about blockchain technology and have a project that aligns with our vision, we invite you to apply for the Mazze Grant Program. Together, we can push the boundaries of what's possible in the blockchain space.

{% hint style="info" %}
*Grant program application windows are announced during **Phase C** ecosystem activation and through official communication channels.*
{% endhint %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.mazze.io/community/grant-program.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.