Run thousands of Monte Carlo paths for startup runway or FIRE retirement. See ruin probability and percentile capital bands over your horizon.
Required fields on the left
NumPy Monte Carlo on the API — startup runway calculator and FIRE retirement simulator share the same engine.
Appears after you run
Startup runway
Set burn/spend and capital, then run 10,000 paths to see survival odds and percentile capital.
A FIRE and runway simulator runs thousands of Monte Carlo paths for startup cash burn or FIRE retirement and reports ruin probability plus percentile capital bands. OmniKit defaults to 10,000 paths. It is an educational model, not financial advice. Your assumptions — spend, returns, inflation, volatility — drive the result.
Use a seed for reproducible stakeholder decks. Identical inputs cache. Export CSV when you need the path table.
Run thousands of Monte Carlo paths for startup runway or FIRE retirement. See ruin probability and percentile capital bands over your horizon.
Choose startup or FIRE mode, enter spend and capital, set return, inflation, volatility, and horizon, then run. Read ruin odds and percentile bands. Change one assumption at a time so the story stays honest.
Choose startup runway or FIRE mode.
Enter monthly spend/burn and capital.
Set return, inflation, volatility, and horizon.
Run simulations and export CSV if needed.
No. It is an educational simulator. Decisions need your own advisors and assumptions. Garbage in, garbage out: optimistic returns with zero inflation will look safer than your life.
This models personal or startup capital under spend and returns. MRR Churn Simulator models subscription revenue paths under churn and new bookings. Use runway when the question is “do we run out of cash?” Use MRR when the question is “does recurring revenue hold?”
A FIRE and runway simulator runs thousands of Monte Carlo paths for startup cash burn or FIRE retirement and reports ruin probability plus percentile capital bands. OmniKit defaults to 10,000 paths. It is an educational model, not financial advice. Your assumptions — spend, returns, inflation, volatility — drive the result.
10,000 paths on the API, with caching for identical inputs.
No. It is an educational simulator. Decisions need your own advisors and assumptions.
10,000-run Monte Carlo survival odds for startup runway and FIRE retirement.
Keep measuring in the same cluster — or jump to the next decision.
Startup runway calculator and FIRE retirement simulator share one NumPy Monte Carlo engine | useful when you need survival odds, not a single deterministic spreadsheet cell.