A strategy stress-testing tool that runs genuine probability distributions client-side — cash runway, burn variance, growth assumptions, and survival probability with tabbed results and export flows.
Leadership teams plan with single-point forecasts that hide tail risk. Spreadsheet Monte Carlo is fragile and slow to share. The tool needed to run thousands of simulations instantly in-browser, surface survival probability and break points, and present results in an institutional tabbed UI — same rigor as enterprise RMF deployments, different domain.
Demonstrates that App tier builds don't require React or a backend to handle serious computation — vanilla JS with careful algorithm design delivers sub-second Monte Carlo at scale. Prospects evaluating custom dashboards, forecasting tools, or risk calculators can run this demo and inspect source to verify engineering depth.
Similar build?
Custom calculators, Monte Carlo engines, and analytics dashboards — scoped in a written SOW.