Drew Volpe is a deeply technical founder-turned-investor at First Star Ventures who uses his hands-on experience in conversational AI, search databases, sensors, and computational biology to evaluate highly technical "frontier" startups at the pre-seed and seed stage—bringing unusual technical depth for an early-stage generalist VC. He continues to position himself as a "coder / founder / investor" who writes technical pieces and works shoulder-to-shoulder with technical teams, particularly focusing on AI applications in complex science-heavy domains like computational biology rather than just software investments.

• Deep commitment to the Boston and New England technology ecosystem, often discussing ways the region can increase its ambition to compete with hubs like San Francisco and New York. He actively engages in conversations about improving the local landscape, at one point encouraging people with ideas for leveling up the city to message him directly to join the effort.
• A specific investment thesis focused on the intersection of biology, automation, and artificial intelligence. He argues that automating science increases leverage for researchers and creates jobs, though he remains skeptical of pure machine learning models for drug discovery that lack rigorous wet-lab validation to prove their claims.
• Strong advocacy for autonomous vehicles and urban mobility technology, viewing them as vital safety tools rather than just convenience. He frequently cites data suggesting self-driving cars are safer than human drivers and has pushed back against local political efforts to ban AV testing on city streets, emphasizing their benefits for families.
• Interest in the rapid proliferation of AI agents and developer tools, while maintaining a practical view on their security implications. He observed a specific trend where non-technical teams in sales or marketing use agents to build their own tools, noting that while effective, this often creates security vulnerabilities that put companies at risk.
• Enthusiasm for "hard tech" and unconventional ideas, particularly those emerging from research institutions like MIT. He explicitly stated a desire to hear about "weird" projects and "wacky" ideas, especially those involving fun applications of biology, suggesting he is open to pitches that might seem too experimental for more traditional investors.
• A personal appreciation for builders and the engineering mindset, often connecting this to his life as a parent. He has mentioned that raising children offers a great excuse to build physical projects and expressed admiration for foundational mathematics like linear algebra.