Sarah Hinkfuss at Bain Capital Ventures focuses specifically on climate fintech at the intersection of B2B payments, insurance, and wealthtech, looking for software and financial products that help decarbonize the economy rather than pure-play SaaS or climate hardware. She combines deep operating experience from rising to Senior Vice President at Applied Predictive Technologies (acquired by Mastercard) with investing experience from both KKR's growth team and early-stage venture at Cowboy Ventures, giving founders a partner comfortable with both growth-stage proof points and earlier thesis-driven bets.

• Interested in the specific business mechanics of Generative AI and how it differs from traditional SaaS models. She warns founders not to blindly apply SaaS metrics to AI companies too early and highlights the hurdles of enterprise adoption, such as the need for high reliability so C-suite leaders trust the tools enough to deploy them.
• A desire to modernize archaic workflows and fragmented productivity systems. She frequently points out the absurdity of still relying on fax machines in healthcare and expresses a personal need for better tools that can bridge the gap between handwritten notes and digital databases.
• Focus on LegalTech and the emerging regulatory questions surrounding technology. She actively invests in startups that streamline legal processes, such as personal injury law, and researches the complexities of liability when AI models make mistakes or use licensed content.
• Practical guidance on the nuances of hiring and communication for founders. She stresses the importance of clarity when delivering messages to avoid misunderstandings and advises on tactical steps like performing thorough reference checks or validating company names with native speakers before launching.
• Appreciation for the dynamics of innovation hubs, specifically San Francisco. She believes the movement of people and ideas is the primary driver of a successful tech ecosystem and frequently champions the energy and recovery of the local SF area.