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Startup Financial Modeling

CommunityPopular
MaxMiksa
startup-financial-modeling

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

Overview

PublisherMaxMiksa
RepositoryAuto-Company
Skill namestartup-financial-modeling
Stars
3.1K
Forks
493
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by MaxMiksa on GitHub. Read the source before you install it.

Installation

Install the Startup Financial Modeling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/MaxMiksa/Auto-Company/tree/main/.claude/skills/startup-financial-modeling
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/MaxMiksa/Auto-Company.git /tmp/Auto-Company
mkdir -p .claude/skills
cp -r /tmp/Auto-Company/.claude/skills/startup-financial-modeling .claude/skills/startup-financial-modeling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Startup Financial Modeling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Startup Financial Modeling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Startup Financial Modeling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Startup Financial Modeling

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.

Overview

Financial modeling provides the quantitative foundation for startup strategy, fundraising, and operational planning. Create realistic projections using cohort-based revenue modeling, detailed cost structures, and scenario analysis to support decision-making and investor presentations.

Core Components

Revenue Model

Cohort-Based Projections: Build revenue from customer acquisition and retention by cohort.

Formula:

MRR = Σ (Cohort Size × Retention Rate × ARPU)
ARR = MRR × 12

Key Inputs:

  • Monthly new customer acquisitions
  • Customer retention rates by month
  • Average revenue per user (ARPU)
  • Pricing and packaging assumptions
  • Expansion revenue (upsells, cross-sells)

Cost Structure

Operating Expenses Categories:

  1. Cost of Goods Sold (COGS)

    • Hosting and infrastructure
    • Payment processing fees
    • Customer support (variable portion)
    • Third-party services per customer
  2. Sales & Marketing (S&M)

    • Customer acquisition cost (CAC)
    • Marketing programs and advertising
    • Sales team compensation
    • Marketing tools and software
  3. Research & Development (R&D)

    • Engineering team compensation
    • Product management
    • Design and UX
    • Development tools and infrastructure
  4. General & Administrative (G&A)

    • Executive team
    • Finance, legal, HR
    • Office and facilities
    • Insurance and compliance

Cash Flow Analysis

Components:

  • Beginning cash balance
  • Cash inflows (revenue, fundraising)
  • Cash outflows (operating expenses, CapEx)
  • Ending cash balance
  • Monthly burn rate
  • Runway (months of cash remaining)

Formula:

Runway = Current Cash Balance / Monthly Burn Rate
Monthly Burn = Monthly Revenue - Monthly Expenses

Headcount Planning

Role-Based Hiring Plan: Track headcount by department and role.

Key Metrics:

  • Fully-loaded cost per employee
  • Revenue per employee
  • Headcount by department (% of total)

Typical Ratios (Early-Stage SaaS):

  • Engineering: 40-50%
  • Sales & Marketing: 25-35%
  • G&A: 10-15%
  • Customer Success: 5-10%

Financial Model Structure

Three-Scenario Framework

Conservative Scenario (P10):

  • Slower customer acquisition
  • Lower pricing or conversion
  • Higher churn rates
  • Extended sales cycles
  • Used for cash management

Base Scenario (P50):

  • Most likely outcomes
  • Realistic assumptions
  • Primary planning scenario
  • Used for board reporting

Optimistic Scenario (P90):

  • Faster growth
  • Better unit economics
  • Lower churn
  • Used for upside planning

Time Horizon

Detailed Projections: 3 Years

  • Monthly detail for Year 1
  • Monthly detail for Year 2
  • Quarterly detail for Year 3

High-Level Projections: Years 4-5

  • Annual projections
  • Key metrics only
  • Support long-term planning

Step-by-Step Process

Step 1: Define Business Model

Clarify revenue model and pricing.

SaaS Model:

  • Subscription pricing tiers
  • Annual vs. monthly contracts
  • Free trial or freemium approach
  • Expansion revenue strategy

Marketplace Model:

  • GMV projections
  • Take rate (% of transactions)
  • Buyer and seller economics
  • Transaction frequency

Transactional Model:

  • Transaction volume
  • Revenue per transaction
  • Frequency and seasonality

Step 2: Build Revenue Projections

Use cohort-based methodology for accuracy.

Monthly Customer Acquisition: Define new customers acquired each month.

Retention Curve: Model customer retention over time.

Typical SaaS Retention:

  • Month 1: 100%
  • Month 3: 90%
  • Month 6: 85%
  • Month 12: 75%
  • Month 24: 70%

Revenue Calculation: For each cohort, calculate retained customers × ARPU for each month.

Step 3: Model Cost Structure

Break down costs by category and behavior.

Fixed vs. Variable:

  • Fixed: Salaries, software, rent
  • Variable: Hosting, payment processing, support

Scaling Assumptions:

  • COGS as % of revenue
  • S&M as % of revenue (CAC payback)
  • R&D growth rate
  • G&A as % of total expenses

Step 4: Create Hiring Plan

Model headcount growth by role and department.

Inputs:

  • Starting headcount
  • Hiring velocity by role
  • Fully-loaded compensation by role
  • Benefits and taxes (typically 1.3-1.4x salary)

Example:

Engineer: $150K salary × 1.35 = $202K fully-loaded
Sales Rep: $100K OTE × 1.30 = $130K fully-loaded

Step 5: Project Cash Flow

Calculate monthly cash position and runway.

Monthly Cash Flow:

Beginning Cash
+ Revenue Collected (consider payment terms)
- Operating Expenses Paid
- CapEx
= Ending Cash

Runway Calculation:

If Ending Cash < 0:
  Funding Need = Negative Cash Balance
  Runway = 0
Else:
  Runway = Ending Cash / Average Monthly Burn

Step 6: Calculate Key Metrics

Track metrics that matter for stage.

Revenue Metrics:

  • MRR / ARR
  • Growth rate (MoM, YoY)
  • Revenue by segment or cohort

Unit Economics:

  • CAC (Customer Acquisition Cost)
  • LTV (Lifetime Value)
  • CAC Payback Period
  • LTV / CAC Ratio

Efficiency Metrics:

  • Burn multiple (Net Burn / Net New ARR)
  • Magic number (Net New ARR / S&M Spend)
  • Rule of 40 (Growth % + Profit Margin %)

Cash Metrics:

  • Monthly burn rate
  • Runway (months)
  • Cash efficiency

Step 7: Scenario Analysis

Create three scenarios with different assumptions.

Variable Assumptions:

  • Customer acquisition rate (±30%)
  • Churn rate (±20%)
  • Average contract value (±15%)
  • CAC (±25%)

Fixed Assumptions:

  • Pricing structure
  • Core operating expenses
  • Hiring plan (adjust timing, not roles)

Business Model Templates

SaaS Financial Model

Revenue Drivers:

  • New MRR (customers × ARPU)
  • Expansion MRR (upsells)
  • Contraction MRR (downgrades)
  • Churned MRR (lost customers)

Key Ratios:

  • Gross margin: 75-85%
  • S&M as % revenue: 40-60% (early stage)
  • CAC payback: < 12 months
  • Net retention: 100-120%

Example Projection:

Year 1: $500K ARR, 50 customers, $100K MRR by Dec
Year 2: $2.5M ARR, 200 customers, $208K MRR by Dec
Year 3: $8M ARR, 600 customers, $667K MRR by Dec

Marketplace Financial Model

Revenue Drivers:

  • GMV (Gross Merchandise Value)
  • Take rate (% of GMV)
  • Net revenue = GMV × Take rate

Key Ratios:

  • Take rate: 10-30% depending on category
  • CAC for buyers vs. sellers
  • Contribution margin: 60-70%

Example Projection:

Year 1: $5M GMV, 15% take rate = $750K revenue
Year 2: $20M GMV, 15% take rate = $3M revenue
Year 3: $60M GMV, 15% take rate = $9M revenue

E-Commerce Financial Model

Revenue Drivers:

  • Traffic (visitors)
  • Conversion rate
  • Average order value (AOV)
  • Purchase frequency

Key Ratios:

  • Gross margin: 40-60%
  • Contribution margin: 20-35%
  • CAC payback: 3-6 months

Services / Agency Financial Model

Revenue Drivers:

  • Billable hours or projects
  • Hourly rate or project fee
  • Utilization rate
  • Team capacity

Key Ratios:

  • Gross margin: 50-70%
  • Utilization: 70-85%
  • Revenue per employee

Fundraising Integration

Funding Scenario Modeling

Pre-Money Valuation: Based on metrics and comparables.

Dilution:

Post-Money = Pre-Money + Investment
Dilution % = Investment / Post-Money

Use of Funds: Allocate funding to extend runway and achieve milestones.

Example:

Raise: $5M at $20M pre-money
Post-Money: $25M
Dilution: 20%

Use of Funds:
- Product Development: $2M (40%)
- Sales & Marketing: $2M (40%)
- G&A and Operations: $0.5M (10%)
- Working Capital: $0.5M (10%)

Milestone-Based Planning

Identify Key Milestones:

  • Product launch
  • First $1M ARR
  • Break-even on CAC
  • Series A fundraise

Funding Amount: Ensure runway to achieve next milestone + 6 months buffer.

Common Pitfalls

Pitfall 1: Overly Optimistic Revenue

  • New startups rarely hit aggressive projections
  • Use conservative customer acquisition assumptions
  • Model realistic churn rates

Pitfall 2: Underestimating Costs

  • Add 20% buffer to expense estimates
  • Include fully-loaded compensation
  • Account for software and tools

Pitfall 3: Ignoring Cash Flow Timing

  • Revenue ≠ cash (payment terms)
  • Expenses paid before revenue collected
  • Model cash conversion carefully

Pitfall 4: Static Headcount

  • Hiring takes time (3-6 months to fill roles)
  • Ramp time for productivity (3-6 months)
  • Account for attrition (10-15% annually)

Pitfall 5: Not Scenario Planning

  • Single scenario is never accurate
  • Always model conservative case
  • Plan for what you'll do if base case fails

Model Validation

Sanity Checks:

  • Revenue growth rate is achievable (3x in Year 2, 2x in Year 3)
  • Unit economics are realistic (LTV/CAC > 3, payback < 18 months)
  • Burn multiple is reasonable (< 2.0 in Year 2-3)
  • Headcount scales with revenue (revenue per employee growing)
  • Gross margin is appropriate for business model
  • S&M spending aligns with CAC and growth targets

Benchmark Against Peers: Compare key metrics to similar companies at similar stage.

Investor Feedback: Share model with advisors or investors for feedback on assumptions.

Available Modeling Guidance

This skill provides formulas and model outlines in the sections above; it does not bundle complete spreadsheet models.

  • Use Business Model Templates for SaaS, marketplace, e-commerce, and services revenue drivers.
  • Use Three-Scenario Framework and Step 7: Scenario Analysis to vary assumptions.
  • Use Fundraising Integration for funding and dilution calculations.
  • For a reusable unit-economics worksheet, see the bundled template and methodology.

Build the model from the user's inputs, label assumptions, and check the formulas before presenting projections.

Quick Start

To create a startup financial model:

  1. Define business model - Revenue drivers and pricing
  2. Project revenue - Cohort-based with retention
  3. Model costs - COGS, S&M, R&D, G&A by month
  4. Plan headcount - Hiring by role and department
  5. Calculate cash flow - Revenue - expenses = burn/runway
  6. Compute metrics - CAC, LTV, burn multiple, runway
  7. Create scenarios - Conservative, base, optimistic
  8. Validate assumptions - Sanity check and benchmark
  9. Integrate fundraising - Model funding rounds and milestones

Use the guidance above to build and validate a model for the specific business.

Frequently asked questions

What does the Startup Financial Modeling AI skill do?

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

Why use Startup Financial Modeling on TypingMind?

Because you install it once and use it with any model. Startup Financial Modeling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Startup Financial Modeling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MaxMiksa/Auto-Company/tree/main/.claude/skills/startup-financial-modeling. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Startup Financial Modeling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Startup Financial Modeling?

As many as you like. As long as a model supports skills, you can use Startup Financial Modeling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Startup Financial Modeling AI skill free?

Yes. It is published on GitHub by MaxMiksa under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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