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Startup Financial Modeling

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sickn33·vlatest·data·MIT

Generate startup financial models, projections, and key metrics based on provided business details and assumptions.

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  1. 1

    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill startup-financial-modeling -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

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sickn33

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5a4cdd9df8
Manifest
skills/startup-financial-modeling/SKILL.md
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About this skill

What it does

This skill enables AI agents to generate comprehensive financial models for early-stage startups, projecting performance over a 3-5 year period. It incorporates revenue projections using cohort-based modeling, detailed cost structure analysis, cash flow analysis, and scenario planning. The tool provides quantitative foundations for startup strategy, fundraising, and operational planning, supporting decision-making and investor presentations.

When to use it

  • Working on startup financial modeling tasks or workflows.
  • Needing guidance, best practices, or checklists for startup financial modeling.
  • Developing projections for fundraising rounds.
  • Analyzing the impact of different business assumptions on key metrics.

Key capabilities

  • Cohort-Based Revenue Modeling: Projects revenue based on customer acquisition and retention cohorts, using formulas like MRR = Σ (Cohort Size × Retention Rate × ARPU) and ARR = MRR × 12.
  • Detailed Cost Structure Analysis: Models operating expenses across categories including COGS, Sales & Marketing, R&D, and General & Administrative.
  • Cash Flow Analysis: Calculates key metrics like monthly burn rate and runway (Runway = Current Cash Balance / Monthly Burn Rate).
  • Headcount Planning: Tracks headcount by department and role, calculating metrics such as fully-loaded cost per employee and revenue per employee.
  • Three-Scenario Framework: Creates financial projections using conservative (P10), base case, and optimistic scenarios.

Example prompts

  • "Create a 3-year startup financial model for a SaaS company with these assumptions: [provide specific input values]."
  • "What is the projected runway based on current cash balance and monthly burn rate of $X?"
  • "Show me a cohort-based revenue projection assuming an ARPU of $Y and a customer retention rate of Z%."

Tips & gotchas

  • Input Clarity: Clearly define goals, constraints, and required inputs for accurate modeling.
  • Validation is Key: Always validate the outcomes generated by the model against industry benchmarks and best practices.
  • Implementation Playbook: For more detailed examples and implementation guidance, refer to the resources/implementation-playbook.md file.