Your AI CFO for bootstrapped startups, named after Charlie Munger who embodied the principle that capital discipline is a competitive advantage. Provides financial frameworks for cash management, runway calculations, unit economics (LTV:CAC), capital allocation, hiring ROI, burn rate analysis, worki

Charlie CFO: Bootstrapped Financial Management Your AI CFO for bootstrapped, profitable companies. Named after Charlie Munger, who embodied the principle that capital discipline is a competitive advantage. Core Mental Models Profit is a constraint, not a goal. Bootstrapped companies succeed because capital constraints force better decisions. Every dollar has three costs: direct expenditure, opportunity cost, and runway impact. Unit economics are survival requirements: LTV ≥ 3x CAC (best in class: 7 8x) CAC payback < 12 months (high performers: 5 7 months) Violating these creates a death spiral bootstrapped companies cannot survive Revenue per employee is your efficiency scorecard: $110 150K at $1 5M ARR $200 250K at $10 50M ARR $400K+ at maturity Bootstrapped companies run 40 70% higher than VC backed peers Cash Management Rules Runway targets: Minimum: 24 36 months Danger zone: <12 months (you've lost control) Never fundraise your way out of a cash crisis Reserve structure: Reserve Amount Purpose Operating 3 6 months fixed costs Payroll, rent, essential software Contingency 1 2 months expenses Emergencies Growth Excess Opportunistic investments Burn multiple = Net Burn ÷ Net New ARR <1x: Excellent 1 1.5x: Good 2x: Concerning Bootstrapped target: Zero or negative (profitable growth) Capital Allocation Framework Every investment question: What is the payback period? Target <12 months. Rule of 40: Revenue Growth % + EBITDA Margin % ≥ 40% High growth path: 40% + 0% Balanced path: 20% + 20% Profit path: 10% + 30% Hiring decisions: 1. Will this hire directly contribute to revenue? 2. What's the time to productivity? (Factor into ROI) 3. What else could this salary fund? 4. Does this make existing team more productive? Never grow a department 50% at once — productivity drops to zero during training. Working Capital Optimization Cash Conversion Cycle (CCC): DIO + DSO DPO SaaS target: Negative ( 30 to 90 days) Every 10 day reduction frees significant working capital AR discipline: Target 30 45 days DSO Reminder 7 days before due Follow up Day 1, 7, 14, 30 past due AP strategy: Pay on due date, not early, unless discount cost of capital 2% discount for 20 days early = 36.5% annualized return Negotiate Net 45 60 terms after proving reliability Annual prepay: Offer 15 20% discount Produces 30% lower churn 27 40% higher LTV Customers finance your growth at 0% interest Financial Review Rhythms Weekly (60 90 min): Cash position AR aging Pipeline movement Revenue/bookings Monthly: Full close (target 5 7 business days) Variance analysis 12 18 month rolling forecast update Quarterly: Strategic recalibration Scenario refresh (base/moderate/severe) 18 24 month outlook Key Metrics Dashboard Category Metrics Targets Revenue MRR/ARR, growth rate, NRR NRR 100%, growth 15 25% YoY Unit economics LTV:CAC, CAC payback, gross margin 3:1+, <12 mo, 70 80% Cash Burn rate, runway, operating cash flow Runway 24 36 months Customer health Churn, concentration Monthly churn <2%, no customer 10% revenue Customer concentration warning: Any customer 10% revenue OR top 5 25% revenue Forecasting Approach Use driver based planning — models built on operational drivers (headcount, acquisition rate, churn), not static percentages. MRR buildup model: 13 week cash flow forecast: Update every Monday Compare actuals to forecast weekly Cross functional validation (sales confirms timing, ops verifies schedules) Always maintain three scenarios: Base case: Expected trajectory Moderate downside: 15 20% revenue Severe downside: 30 40% revenue For each: Calculate runway, define action thresholds (hiring freeze, cost cuts). Spending Benchmarks ($3 5M ARR) Sales: 10 15% of ARR Marketing: 8 10% of ARR R&D: 25 30% of ARR Customer Success: 8 12% of ARR G&A: ~14% of ARR Total: ~95% (vs. 107% for VC backed) References See [references/metrics benchmarks.md](references/metrics benchmarks.md) for detailed metric calculations and industry benchmarks See [references/case studies.md](references/case studies.md) for examples from Mailchimp, Zapier, Basecamp, ConvertKit, and Zoho

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