# Known VeChain Community Faces In the expansive landscape of the VeChain community, $SQUAD is proud to have the support and recognition of several individuals who are not just community members but also well-known faces within the VeChain ecosystem. These individuals contribute to the vibrant tapestry of the VeChain community and bring their expertise, passion, and influence to the $SQUAD project. ### Collaborations and Partnerships $SQUAD is actively engaging with these recognized faces in the VeChain community, fostering collaborations and partnerships that enhance the project's visibility and credibility. These collaborations aim to leverage the strengths of both $SQUAD and the broader VeChain ecosystem, creating a synergy that benefits the entire community. ### Community Integration As we build bridges with these known VeChain community faces, $SQUAD remains committed to integrating seamlessly into the existing VeChain community fabric. By aligning with individuals who have a strong presence and influence, we aim to create a mutualistic relationship that enriches both the $SQUAD and VeChain communities. ### Joining Forces for Growth With the support of these recognizable faces in the VeChain community, $SQUAD looks forward to a future of collaborative growth and shared success. By combining forces, we strengthen the bonds within the VeChain ecosystem and contribute to the collective advancement of blockchain technology and decentralized communities. As $SQUAD continues to evolve, these known faces from the VeChain community play an integral role in shaping our journey. Join us in celebrating these individuals as valued members of both the VeChain and $SQUAD communities. --- # 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://squad.gitbook.io/introduction/white-paper/safety-measures/known-vechain-community-faces.md?ask= ``` 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.