# Traction The team has demonstrated technical execution in highly competitive, third-party environments, including placing [3rd overall in the ](https://blog.colosseum.com/announcing-the-winners-of-the-solana-breakout-hackathon/)[Solana Colosseum Hackathon AI track](https://blog.colosseum.com/announcing-the-winners-of-the-solana-breakout-hackathon/), selected from 1,300+ participating projects. The AI track was evaluated by over 50 judges including Solana core contributors, Toly and representatives from leading crypto investment firms, like Kyle Samani (MultiCoin Capital). In 2025, the team raised an Angel round to support the development and launch of the Agent Arc platform, and has received ecosystem support through the Solana Colosseum, Microsoft for Startups, and NVIDIA Inception programs.\ \ Agent Arc has already processed significant agentic trading volume (aDP) with its early beta users which will further be disclosed in the next update. --- # 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://agent-arc.gitbook.io/agent-arc-docs/overview/litepaper/traction.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.