David Peterson is a venture capital investor at Angular Ventures who brings unusual depth to early-stage companies through his background as an early Airtable leader and his academic approach to growth dynamics, applying cognitive science and decision theory to help founders navigate experimentation and timing decisions. He specializes in category creation and has developed a distinctive investment filter focused on founders with secret insights who can become the center of movements while attracting top talent, particularly in the enterprise software space where customers build their own solutions.

• Skepticism toward superficial AI integration and generative writing. He explicitly warns that simply adding AI features to existing products is often a financial trap and criticizes the low quality of AI-generated text. Instead, he prefers AI-native innovations that fundamentally change user interfaces, such as systems that allow non-technical users to build their own disposable software tools.
• Emphasis on rigorous market segmentation and narrowing the customer focus. He frequently argues that startups often struggle because they target too broad an audience, which creates a cycle of confused messaging and poor sales conversion. He advises founders to resist the urge to widen their funnel and instead focus intensely on a highly specific customer profile to break out of growth plateaus.
• Interest in the evolution of software beyond standard subscription models. He suggests that the era of building incremental, single-purpose tools is fading and believes the concept of a minimum viable product is no longer sufficient. He is particularly compelled by adaptable software concepts where the product can be molded by the user, criticizing current platforms like Airtable for becoming too complex for the average person.
• Focus on the operational challenges of scaling companies, particularly in Europe. He highlights a specific talent gap in the European ecosystem, noting that startups there often face a crisis when they reach roughly twenty to forty million in revenue because there is a shortage of experienced executives who have managed businesses at that size.
• Valuation of deep critical thinking over speed or automation. He believes that as AI makes answer-finding cheap and easy, the ability to ask the right questions and think deeply is becoming the only lasting human advantage. He views the friction involved in searching for answers as a necessary tax that previously ensured only the most important questions were asked.