Meet the Slowest Startup Incubator in the World—Pumping Out Billion-dollar Companies

Overview

This episode dives into the unique approach of Bolton and Watt, a self-described world's slowest startup incubator, led by Sam Gerstenzang and Dan Friedman. They discuss their model of building niche, operationally complex businesses like medical spas and funeral homes, scaling them to millions in revenue before handing them off to specialized CEOs. The conversation also explores how AI is integrated into their processes, the challenges of synthetic customer calls, and their philosophy on building AI-durable businesses.

Notable Quotes

- There’s two good companies to start now: the AI native company that pushes the ball forward inside of some category, or the AI durable company that effectively uses AI where the core of the machine is not going to change. – Dan Friedman, on navigating AI's impact on business models.

- You shouldn’t give anyone credit for using AI, but you should make sure the expectation is they’ll deliver the best product knowing AI exists. – Sam Gerstenzang, on fostering meaningful AI adoption.

- We’ve desperately tried to have AI not be in sycophancy mode, but no matter what we do, it just expresses a 10 out of 10 customer pull. – Dan Friedman, on the failure of synthetic customer calls.

🛠️ The Slowest Incubator Model

- Bolton and Watt focuses on starting niche, operationally complex businesses, scaling them to $5–10 million in revenue before transitioning leadership to a specialized CEO.

- Their first two companies, Moxie (medical spas for nurses) and Meadow Memorials (a contemporary funeral home), exemplify their approach of combining software, services, and real-world components.

- Sam Gerstenzang highlighted their preference for weird businesses that avoid crowded startup trends, allowing them to operate in less competitive spaces.

🤖 AI-Durable vs. AI-Native Businesses

- Dan Friedman and Sam Gerstenzang distinguish between AI-native companies (built entirely around AI) and AI-durable companies (where AI enhances operations but doesn’t redefine the core business).

- Their businesses, like med spas and funeral homes, are intentionally AI-durable, leveraging AI for operational efficiencies without relying on it to transform the core offering.

- They see AI as an accelerant for execution but emphasize that the fundamental business models remain unchanged.

🧑‍💻 AI in Customer Discovery

- The team developed an AI agent, Matthew Bolton, to streamline their customer discovery process. It analyzes customer interviews, tracks hypotheses, and surfaces key insights, significantly speeding up early-stage research.

- While AI excels at synthesizing data and generating insights, synthetic customer calls failed completely. AI-generated customers consistently provided overly positive feedback, making them unreliable for validation.

- Dan Friedman noted that AI is most effective in greenfield projects, where it can dramatically accelerate early-stage exploration.

📈 AI Integration in Established Companies

- AI adoption in their existing businesses has been incremental, with the most significant gains seen in experimental or greenfield projects.

- Examples include AI-generated landing pages and tools like SamGPT, which mimics Sam Gerstenzang’s voice for talent outreach.

- They emphasize that AI should be used to deliver the best possible outcomes, not as a checkbox for innovation. Setting examples and comparing results across teams has been key to fostering meaningful adoption.

🔮 What’s Next for Bolton and Watt

- While they didn’t reveal specifics about their next venture, Sam Gerstenzang and Dan Friedman hinted at exploring intersections of AI with other secular trends.

- Their focus remains on identifying opportunities where operational complexity and real-world components create defensible, scalable businesses.

- They continue to prioritize intellectual honesty and rigorous validation in their ideation process, leveraging AI as a tool to enhance—not replace—human judgment.