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Andrew Chen recommends that founders apply to Speedrun when they have a team of 2-3 people, have not taken outside capital, and are willing to move to San Francisco for the 12-week program. Teams larger than 3-5 people are rare and dividing ownership too thinly is undesirable. Founders should be prepared to bootstrap on their own dime for six months before applying.
Andrew Chen recommends that founders in the Speedrun program should spend the 12 weeks focusing only on building the product and selling the product, figuring out if the business is going to work. Founders should not outsource coding or hire junior developers early; instead, keep the team to 1-2 people using AI coding tools.
Andrew Chen recommends that when there are two co-founders, they should split roles: one business co-founder focuses on interviewing customers and making deals, while the other technology co-founder focuses on building the product using AI coding tools. This splits outward and inward work effectively.
Andrew Chen recommends that when a founder hears about a policy initiative that might affect their use case, they should assess whether their business model faces regulatory headwinds and whether policymakers understand what they are trying to build. Founders should proactively engage with policymakers to help them appreciate the value of their product or use case.
Andrew Chen describes that founders accepted into Speedrun should incorporate the company, wire the money, buy a plane ticket to San Francisco, and live with their co-founder for the 12-week program. They should use the provided 'Welcome to SF' guide to find neighborhoods and Airbnb rentals, stay close to the A16Z office, and use the A16Z office and nearby co-working spaces for work. Founders should join the program's Slack and email lists to build community with other founders.
Matt Perault recommends creating a mechanism to represent early-stage startups in policy discussions because they cannot advocate for themselves. Policymakers must seek out conversations with 'little tech' (early-stage startups) to understand their needs, rather than only hearing from big tech and established industries. When a policymaker hears 'all of industry agrees on this,' they should recognize that this likely represents the view of big tech and large incumbents, not the diverse startup ecosystem.
Andrew Chen argues that if a city or state wants to foster startups, it must proactively create conditions conducive to startups, including policies that support founders, angel investors, and employees. It is a choice whether each state or city wants to have startups or not.
Andrew Chen states that for an early-stage startup, choosing where to plant roots is one of the most important decisions, as it determines where you hire from and your access to talent, investors, and customers. If you are building a deep tech company, you must locate where there is large-scale lab and warehouse space at reasonable prices. To scale a startup beyond initial revenue and hiring, you must locate where investors are concentrated, as raising capital requires in-person investor presence.
Andrew Chen states that the core of early-stage investing is to invest in the best people. Speedrun looks for founders with unique past experiences such as athletic accomplishments, popular GitHub repos, or elite university/AI company backgrounds. The program is open-minded about founder backgrounds.
Andrew Chen argues that policymakers should not assume that the needs of one type of startup (e.g., software) apply to all; they must dig into the specific needs of different sectors (e.g., AI, hardware, robotics) which vary in supply chain, real estate, investors, and partners. The needs of startups change dynamically.
Andrew Chen states that historically, roughly half of venture-backed companies will fold entirely. When a startup fails, the best thing a firm can do is consider re-investing in the same founder if they have a better idea next time, as failure provides education. A16Z aims to partner with founders for their whole professional career. After a failed startup, founders need time to recharge, rebuild finances, and focus on health.
Andrew Chen recommends that when representing a startup ecosystem and disagreeing with big tech on a policy issue, advocates should frame the disagreement as 'by design' to emphasize that they represent a different part of the ecosystem.
Andrew Chen describes that Speedrun holds formal programming once per week to minimize disruption to company work time. The weekly programming includes a speaker (e.g., founder of Zynga, Vercel, C-level from OpenAI, Mark Andreessen, Ben Horowitz) and office hours with 20-30 companies. Office hours cover topics like hiring first employees, signing first customers, launching on social media, selling to enterprise vs SMB, and AI tool usage.
Matt Perault and Andrew Chen argue that the cumulative regulatory burden on early-stage startups, not just individual laws, is the real obstacle to building. Early-stage founders see most regulatory compliance as negative friction because the paperwork is designed for much larger companies with legal teams. Founders working 100-hour weeks cannot participate in the political or regulatory process because they lack time, lobbyists, and bandwidth.
Andrew Chen states that venture capital firms can help policymakers open doors to conversations with curated 'little tech' startups (2-3 person teams) to hear directly what they need to be successful. An open offer is extended to policy folks to spend time with five or ten curated little tech startups.
Andrew Chen recommends that companies hire founders from failed startups because they work hard, solve unstructured problems, and are current on the newest technology. A failed founder may spend 2-3 years at another company, lead new initiatives, then spin out to start a new company.
Andrew Chen reports that nearly 50% of venture-backed startups are first-generation immigrants who relocated to start their companies. The center of the startup ecosystem shifted from the peninsula to San Francisco proper, and then spread to New York, London, and Europe. The Bay Area has benefited from the AI wave, which has extended the life of the startup ecosystem. The biggest startup hubs are co-located with great universities, customers, and investors.
Andrew Chen recommends that founders should not wait for 5-10 more years of work experience and financial stability before starting a company; the AI era is the right time to jump in. Many founders might have waited another five or ten years for work experience and financial stability before starting a company.
Andrew Chen describes that founders at the earliest stage are so mission-focused on survival that they don't have time to participate in policy debates. They may not even have time to shower or have a nice dinner. Startups operate on very short time schedules, often measured in months rather than years.
Andrew Chen observes that when discussing policy issues with founders, some issues are not relevant to them, while others cause a panic look when they realize their use case might face regulatory headwinds. Founders sometimes believe policymakers do not understand what they are trying to build, even though the use case is compelling.
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