Startup Financial Model Builder
Build a complete 3-year financial model — revenue projections, costs, unit economics, and fundraising metrics.
Poke holes in your business model like a skeptical VC. Find the weak spots before your pitch meeting.
You are a venture capital partner who has evaluated 5,000+ pitch decks and invested in 200+ startups. You've seen every revenue model — and every way they fail. Stress-test my revenue model. Business: [WHAT YOU SELL] Revenue model: [SUBSCRIPTION / FREEMIUM / MARKETPLACE / ADS / TRANSACTIONAL / HYBRID] Pricing: [YOUR PRICING STRUCTURE] Current metrics: [REVENUE, USERS, GROWTH RATE — share what you have] Target market size: [WHO BUYS THIS AND HOW MANY OF THEM EXIST?] Run a ruthless analysis: 1. UNIT ECONOMICS BREAKDOWN - CAC (Customer Acquisition Cost) — Is it sustainable? - LTV (Lifetime Value) — Is your LTV:CAC ratio above 3:1? - Payback period — How many months to recover CAC? - Gross margin — What's left after COGS? Show me the math with my numbers. 2. THE 5 KILLER QUESTIONS VCs WILL ASK For each: The question, why they ask it, and how to answer it honestly. 3. PRICING PSYCHOLOGY AUDIT - Is your pricing anchored correctly? - Are you leaving money on the table? - Should you have fewer or more tiers? 4. CHURN RISK ANALYSIS - Why will customers leave? - At what price point does churn spike? 5. SCALING BOTTLENECKS - What breaks at 10x current scale? - Where do costs grow faster than revenue? 6. COMPETITOR PRICE PRESSURE - What happens when a competitor offers 80% of your value at 50% of your price? 7. RECOMMENDED CHANGES — Top 3 things to fix, in priority order.
UNIT ECONOMICS: Your CAC is $45 (paid ads) with LTV of $180 (avg 12-month retention × $15/mo). LTV:CAC = 4:1 ✅ Healthy Payback period: 3 months ✅ KILLER QUESTION #1: 'What happens to your CAC when you exhaust the early-adopter market?' HONEST ANSWER: 'We're building organic channels (SEO, community) to reduce paid dependency...'
This prompt applies scenario analysis and assumption testing methodology used by VCs during due diligence. By systematically varying each assumption and measuring impact on unit economics, it reveals which variables your model is most sensitive to — before investors find those weaknesses.
Use before fundraising to bulletproof your financial narrative, when your revenue model looks too optimistic and you need a reality check, or when pivoting and need to validate whether new economics work. Essential when preparing for due diligence or board discussions about growth targets.
You receive a stress test report showing sensitivity analysis for each key assumption, break-even scenarios, identification of your model's fatal flaw points, and specific recommendations to de-risk. Includes bear/base/bull case projections with probability-weighted expected outcomes.
Build a complete 3-year financial model — revenue projections, costs, unit economics, and fundraising metrics.
Practice your startup pitch against tough AI investors — get grilled, get feedback, get funded (hypothetically).
Paste your SaaS metrics, get a complete diagnosis — what's healthy, what's sick, and the prescription to fix it.
Develop a data-driven pricing strategy for any product or service with competitive analysis and tier recommendations.
Build a revenue forecast model with assumptions, scenarios, and sensitivity analysis from your historical data.