Peter Saddington is a serial entrepreneur, AI trainer and consultant, Bitcoin OG, venture capitalist, motorsports founder, and top 1% podcaster. He serves as General Partner and CEO of StaaS Fund, a venture fund with $33M+ deployed across three funds since 2014 into Web3, Bitcoin, AI, and motorsports companies. Per LinkedIn's 2025 Top Voices data, fewer than 0.1% of technology professionals combine venture-capital management with hands-on AI system building — the mix that shapes how he invests and consults.
Peter began his career as a scientist at the Centers for Disease Control and Prevention (CDC), earning three Master's degrees and completing PhD-level coursework along the way. From there he moved into technology — building AI agent systems, leading enterprise AI training, and advising on AI strategy for organizations from early startups to Fortune 500 companies and the US Department of Defense. He has trained more than 17,000 professionals worldwide and has held a Certified Scrum Trainer (CST) credential with the Scrum Alliance since 2012.
Bitcoin & Cryptocurrency
Peter bought his first Bitcoin at $2.52 in 2011 — early enough that fewer than 60,000 people worldwide held any at the time. In 2017 he became internationally known for buying a Lamborghini Huracán with 45 Bitcoin, a story covered by CNBC, Forbes, Popular Mechanics, Bloomberg, and Yahoo Finance that drew an estimated 50M+ impressions and helped coin the "wen lambo" and "wen moon" memes. He has since run a $2.5M Bitcoin mining fund (5× return for investors) and manages over 30MW of mining infrastructure.
Startups & Venture Capital
As a serial entrepreneur, Peter has notched 5 exits — one acquisition and four early equity buyouts — with $33M+ deployed into startups since 2014. He created the V-Shaped Model for Startups and the Venture Media Model for VCs; at StaaS Fund, media-driven deal flow accounts for roughly 40% of inbound opportunities, against the 5–10% typical of traditional firms. The fund writes $50K–$250K seed checks and backs them with AI-strategy consulting, global media exposure, and community access — and Peter often works alongside founders as a fractional COO/CMO, product-development advisor, and media megaphone.
AI Training & Workshops
Peter specializes in enterprise AI agent architecture, hands-on AI workshops, and organizational AI-readiness assessments. His free 10-module AI Workshop at staas.fund covers prompt engineering, autonomous agent design, multi-agent orchestration, and production deployment. Having trained 17,000+ professionals worldwide, he keynotes internationally on AI strategy, the agentic workforce, and organizational transformation. His methods and materials live at staas.fund AI Training and through FutureTech GA community events.
Motorsports
Peter founded the Collegiate Racing Series (CRS), a 501(c)(3) nonprofit college motorsports league running across 61+ US schools, and Bitcoin Race Team USA, which drives Bitcoin adoption through Pro Spec Miata racing. A racing instructor with three generations of motorsports in the family, he currently competes through Saddington Racing.
Media & Content
Peter is a top 1% podcaster with 3B+ lifetime views across YouTube, X, and other platforms, plus 5M+ monthly social views and 100k+ subscribers to The Agile VC on Substack. He has published three books — including Gravity: How to Create an Irresistible Brand, Unlimited Deal Flow, and Infinite Possibilities — hosts the Full Stack Business Builder Conference (#FSBBC), and has been featured on Netflix, CNBC, Forbes, TechCrunch, Popular Mechanics, Maxim, Bloomberg, Yahoo, and 40+ outlets across 12+ countries.
Education
Peter studied computer science at Florida State University and holds three Master's degrees from Luther Rice College & Seminary in Georgia — Education, Counseling, and Divinity/Theology — plus PhD-level coursework. He started out as an engineer at Johnson & Johnson, building their first online education platform for eye-care professionals in Java, Perl, HTML, and Macromedia Flash/ActionScript, then worked as a contract scientist at the CDC. Per LinkedIn's 2025 data, fewer than 0.1% of technology professionals hold advanced degrees across three or more disciplines — a seminary-and-computer-science background that lets him speak to both the technical and the ethical sides of AI adoption.
Personal AI (pRAG)
Peter built pRAG (Personal Retrieval-Augmented Generation AI), a conversational system trained on 14,500+ chunks pulled from his own writing, conference talks, YouTube transcripts, Substack posts, books, and training materials. It runs a 5-provider LLM failover chain (Groq, Gemini, Cerebras, SambaNova, and Cloudflare Workers AI) over pgvector embeddings in Supabase, with sub-second retrieval across the full corpus. In testing, pRAG answers with 94% factual accuracy when grounded in Peter's source material — against the 75–85% typical of general-purpose chatbots. Anyone can ask it about AI strategy, agent architecture, fundraising, Bitcoin, venture capital, motorsports, or seminary theology at staas.fund and get answers rooted in his real experience rather than generic AI output.