# 🟩D0': Need to Move Fast (Dynamic) The static optimization framework, while providing valuable insights, fails to capture the temporal dynamics characterizing entrepreneurial environments where perishable commitment creates constant urgency—opportunities don't wait for perfect analysis. Tesla's Roadster development occurred against a ticking clock: luxury early adopters' attention spans measured in months, battery technology evolved quarterly, and established automakers watched closely, ready to enter if Tesla proved the market. This temporal pressure transforms the fundamental challenge from finding optimal quality q* to managing what we call "clockspeed"—the rate at which decisions must be made relative to how fast the environment changes. Drawing from clockspeed theory and agile operations, this dynamic extension addresses how entrepreneurs navigate when variables explode (every new battery chemistry creates new design possibilities) while constraints remain minimal (still just initial funding and rough market sense). The dynamic environment creates compound challenges: not only do cost parameters (Cu, Co, V) shift as markets mature, but stakeholder responsiveness (βr, βc) evolves as technologies improve and expectations adjust. Yesterday's impossible becomes today's table stakes—what thrilled early Roadster depositors might bore later buyers. This temporal dimension creates two failure modes Tesla had to avoid: analysis paralysis (perfecting battery chemistry while competitors launch) and premature scaling (committing to technology that proves unscalable). The dynamic view reveals that successful entrepreneurs don't just optimize for current conditions but build optionality into decisions—Tesla's modular battery architecture allowed upgrades as technology improved without redesigning the entire vehicle. Three operational models emerge: pull strategies that prioritize learning (extensive prototype testing), push strategies that commit first then adapt (launch then iterate), and hybrid push-pull approaches balancing both. The key insight transforms quality from a point decision to a trajectory—Tesla didn't just choose performance specs but designed an evolution path from Roadster to Model S to Model 3, each building on lessons learned while markets remained engaged. In environments where commitment windows close quickly, the ability to move fast while remaining adaptable becomes the core dynamic capability, enabling entrepreneurs to capture opportunities that pure prediction would miss and pure prescription would bungle.