Hadley Harris is a former engineer and multi-time operator who led product and marketing at voice-AI startup Vlingo before co-founding what's described as the world's first mobile-only venture fund, Eniac Ventures, giving him hands-on experience across technical and go-to-market functions before becoming a VC. He has maintained a thesis-driven focus on visual technologies and AI applications well before the current hype cycle, arguing that visual tech is "the most important input" to machine intelligence systems and backing companies where computer vision is central to their business models.

• Enthusiasm for domain experts evolving into developers using AI tools. He frequently discusses how tools like Claude Code allow the people closest to a problem to build the solution directly, eliminating the need for product managers or games of telephone, and shares his own experience using these tools to build a custom Twitter client that filters out political content.
• A belief that traditional SaaS interfaces are being demoted to backend systems of record. He argues that as users shift toward agentic workflows, standard software will become commoditized data stores that AI agents read from and write to, rather than products users interact with directly.
• Focus on operational efficiency and speed over large fundraising events. He points out that while startups need less capital than ever to build, big rounds are often false signals of success, and suggests that organizations start fragmenting and losing speed once they surpass a headcount of approximately 17 people.
• Skepticism toward derivative startup ideas and lack of first-principles thinking. He expresses a desire to short companies that pitch themselves simply as the X for Y of a vertical, noting that founders must ensure their business model actually gains value as AI intelligence improves rather than becoming obsolete.
• Commitment to a hands-on, builder culture within venture capital. He highlights that his firm distinguishes itself because the investors actually write code and build internal tooling themselves rather than hiring others to do it, arguing that you cannot understand the changing AI landscape if you only read about it without feeling the pain points personally.
• Value placed on repeat founder relationships and long-term support. He describes the highest form of validation in the industry as a founder choosing to work with the same firm again, citing his excitement to back the founder of Boxed for a second time with a new AI-powered career transition startup.