FOUNDER'S PLAYBOOK: BUILDING AI-NATIVE STARTUPS

The guide covers foundational decisions that AI-native startups must make early, including infrastructure choices, data strategy, and hiring priorities. Key sections address how to structure products around AI capabilities rather than treating AI as a feature addition. Topics include selecting appropriate model providers versus building custom models, managing computational costs, and designing user experiences that leverage AI's strengths. The playbook emphasizes the importance of establishing data pipelines and governance frameworks before scaling. Team composition differs significantly from traditional startups, requiring different skill balances between ML engineers, product managers, and domain experts. The guide also discusses funding considerations and investor expectations for AI-native ventures. The resource has generated substantial discussion among founders and investors, with 119 comments on Hacker News exploring practical implementations and edge cases.