Moving fast in hardware: lessons from lab to $100M ARR
Summary
The article argues that fast hardware development comes from reducing unnecessary requirements and treating prototypes as experiments to retire the next unknown. It presents six practices—delete nonessential requirements, prototype to retire risks, outsource the mature and insource the uncertain, shift hardware complexity into software and AI, shorten the design-test-manufacture distance, and keep small teams—to illustrate how speed and learning speed are connected, with real-world examples from ClearMotion, SpaceX, Tesla, and more.