Startup Financial Projections (3-Year P&L Model)

Build a narrative 3-year financial projection for my startup. Use the following inputs: **Company / Product:** {&{COMPANY_AND_PRODUCT}} **Business Model:** {&{BUSINESS_MODEL}} **Current Revenue Run Rate:** {&{CURRENT_REVENUE}} **Primary Revenue Driver:** {&{REVENUE_DRIVER}} (e.g., number of paying customers, transaction volume, seats) **Current Pricing:** {&{PRICING}} **Current Headcount:** {&{HEADCOUNT}} **Planned Raise Amount:** {&{RAISE_AMOUNT}} **Key Cost Drivers:** {&{KEY_COSTS}} (e.g., engineering salaries, AWS infrastructure, sales commissions) --- Deliver the following: **1. Revenue Build-Up** Build annual revenue from first principles: start with customer/user count at start of year, apply growth rate assumptions (stated explicitly), apply ACV/ARPU assumptions. Show Year 1, Year 2, Year 3 in a table. **2. Headcount Plan** For each year, list: roles to be hired, hiring trigger (what milestone justifies each hire), and blended salary assumption per function (Sales, Engineering, G&A). **3. COGS & Gross Margin** Define COGS components. Show gross margin % for Year 1, Year 2, Year 3 with the driver of improvement (e.g., infrastructure economies of scale, lower support-to-revenue ratio). **4. Operating Expense Summary** Break into: R&D, Sales & Marketing, G&A. For each category, state the % of revenue or absolute driver assumption. **5. EBITDA & Cash Burn** Show net income / EBITDA for each year. Identify peak burn month (estimated) and the fundraising window this creates. **6. 3-Year Summary P&L Table** Markdown table: Line Item | Year 1 (Conservative) | Year 1 (Base) | Year 2 (Base) | Year 3 (Base) **7. Top 2 Sensitivity Variables** Name the 2 variables that most affect Year 3 revenue. Show the range of outcomes if each moves ±20%.