Founders know bank balance, not burn — 4‑metric cashflow forecast

Most small founders and bootstrapped SMBs can tell you their current bank balance but not their true burn rate or probabilistic runway, which means decisions get made on incomplete information; this problem is acute across roughly 12 million SMBs in the US/UK/CA/AU who do not have CFO-grade forecasting tools. The consequence is unnecessary cash crunches, late payroll, and missed growth windows for companies that typically have limited financial sophistication and narrow runway tolerance. You could build a lightweight 4‑metric cashflow forecast product that surfaces cash on hand, trailing net burn (30/90 days), probabilistic runway under scenario and variability bands, and recurring coverage (months of recurring inflows covering fixed outflows). The product would stitch open banking and cloud-accounting feeds (QuickBooks/Xero) for automated reconciliation, use ML to infer recurring payments and seasonality from sparse inputs, and present a single-number runway plus two drilldowns so non-finance founders can act in minutes rather than days. This market looks attractive now — a $24.0B addressable market (12M SMBs × $2,000 ACV), a market score of 92/100 and revenue potential rated 86/100 — because standardized bank APIs and higher accounting penetration make integrations cheaper and AI improves accuracy from limited data. To stand out you’ll need to prove superior accuracy from minimal inputs, prioritize explainability and audit trails, and tailor onboarding to cash‑sensitive SMBs; expect medium competition, regulatory complexity across jurisdictions, and customer acquisition challenges that will require clear ROI messaging and a tight product-led growth funnel.