> For the complete documentation index, see [llms.txt](https://oap.gitbook.io/the-open-ads-protocol-litepaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://oap.gitbook.io/the-open-ads-protocol-litepaper/team.md). # Team The founding team consists of veteran builders that each have over 16 years experience in their respective verticals. They have shipped product at contributor and leadership roles in Web 2 and Web3. **Chris Koziak, Co-Founder and CEO,** brings a unique blend of experience in both Web 2 and Web3 ecosystems. As a Web 2 startup veteran, he was part of the early team of a successful ad-tech platform, contributing to a $50 million exit. With expertise in mobile product development and ad monetization he has achieved $150 million in revenue through products he owned. He became a noted partner to Google and Meta ad platform product teams with over $90 million in advertising spend. Chris has also held senior positions, including Senior Product Manager at Electronic Arts for the World Series of Poker, and served as the Web3 gaming Growth Director at MixMob, a Solana-based venture-backed company. **Mike Thu, Co-Founder and CTO,** is a seasoned Web3 startup veteran with a solid foundation in software engineering. As the founder of P2PMoon, a P2P Crypto Exchange, and Entryfee.xyz, a Web3 loyalty rewards platform, Mike has demonstrated his entrepreneurial skills. With over 16 years of experience and multiple director roles, he has played a crucial role in the early stages of cutting-edge startups in fields like ML platforms, 3D printing engines, and large-scale marketplaces. Mike's leadership extends to scaling up major brands like Bestbuy and Mercari in Japan, achieving an impressive 18 million monthly active users. Together, Chris and Mike bring a wealth of expertise and a proven track record to the Open Ads Protocol, ensuring the mission of making ads open, decentralized, transparent, and permissionless stays on track. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://oap.gitbook.io/the-open-ads-protocol-litepaper/team.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.