Mike Vernal is a Sequoia Capital partner who spent eight years scaling Facebook's core products like News Feed, giving him an unusually operator-focused approach to evaluating how startups will perform at scale. He's known for his skepticism about data moats and his Market Curve framework for picking the right markets, plus he writes detailed essays translating complex product concepts into practical tools for founders.

• Enthusiastic about the potential of voice interfaces to drive revenue rather than just cut costs. He views voice agents as powerful tools for upselling customers and believes voice technology could finally unlock true mobile-first adoption for enterprise software, much like consumer apps shifted to mobile a decade ago.
• Valuations on high-agency founders and compelling storytelling. He frequently highlights the importance of a strong narrative, citing the Notion Series A pitch as the best he has ever heard because it framed the product within the broader history of computing. He also looks for founders who embody intensity and the ability to simply execute difficult tasks without hesitation.
• Focus on AI-driven automation within the enterprise, specifically regarding customer insights and code security. He sees a massive opportunity in using AI to scale qualitative research, allowing companies to talk to and understand customers at a volume previously impossible. Additionally, he is interested in solutions that secure the exponentially growing amount of code being written by AI assistants.
• Observations on market structure and unique company building. He discusses how technology tends to create a barbell effect in industries—splitting them into massive platforms and niche individual creators—and expects AI to do the same for software apps. He also praises companies that deviate from standard playbooks to build unique cultures and go-to-market strategies that feel authentic to their brand.