How many months of cash do you actually have left? Enter your cash on hand and monthly burn rate to see your runway, the exact date your cash runs out, and whether you need to start fundraising now.
Runway = Cash on Hand ÷ Monthly Net Burn. If you have $500k in the bank and burn $40k/month net, your runway is 12.5 months. Net burn = gross monthly expenses minus monthly revenue.
Raise when you have 9-12 months of runway left. A typical seed/Series A round takes 3-6 months from first pitch to wired cash, and investors get nervous when founders are visibly desperate. Starting at 12 months gives you leverage to walk away from bad terms.
Post-fund-raise, VCs expect 18-24 months of runway, enough to hit the milestones that justify the next round. Below 12 months is a yellow flag. Below 6 months is a crisis: you have weeks to close or cut burn hard.
This calculator exists to be embedded in a sourcing or diligence workflow, not used once and closed. The numbers it produces are the same primitives the GitDealFlow dataset is built on: 350+ startup GitHub organizations tracked across 15 sectors, refreshed weekly. When a target company is being evaluated, run its figures here, then compare against the sector baseline in the research dataset. The disciplined pattern is signal first (breakouts surface 21 to 47 days before the round), then arithmetic (does the unit economics justify a meeting), then process (memo, checklist, decision).
A practical read-through of Startup Runway Calculator: the dataset behind this page refreshes weekly across 350+ organizations and 15 sectors, and every figure shown traces to a public GitHub REST API pull. That matters for two reasons. Reproducibility: any number here can be re-derived from primary sources, which is the standard the published methodology sets for itself. Timeliness: engineering acceleration precedes announcements, so this page follows the data cadence rather than the news cycle, and the freshness endpoint always reports the exact pull date.
If Startup Runway Calculator is your entry point, the fastest next steps are fixed: skim the glossary for the three or four terms that anchor the topic, open the research dataset to see the raw weekly snapshots behind the summary numbers, and run one live query against the free momentum checker with a company you already know well. Seeing the signal fire on a familiar name is the quickest way to judge whether code-side sourcing belongs in your own workflow.