Moving fast in hardware: lessons from lab to $100M ARR (blog.zacka.io)

The article argues that teams building physical products can move faster by “simplifying, then adding lightness”—mainly through deleting unnecessary requirements and designing experiments that retire the next biggest unknown. Using examples from ClearMotion’s automotive robotics, NASA’s Apollo and X-planes, SpaceX’s avionics, and others, it shows how subtracting peak/rare-spec demands, treating prototypes as hypothesis-driven tests, and sequencing milestones can shrink the learning loop and accelerate iteration.