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startup-financial-modeling

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by wshobson · Updated Apr 16, 2026

opus
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$3.5620m 12s

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-ready financials for a seed or Series A raise.

financefinancial-modelingstartupforecastingfundraisingsaasscenario-analysis

See It In Action

1 turns·claude
The project codebase is in your current working directory. Explore the files to understand the code before making changes. need the seed model refreshed today for investor review tomorrow — new pricing, hiring timing, and growth assumptions, with downside/base/upside over 5 years

Let me explore the codebase first to understand what's already there.

I have a complete picture of the data. Let me invoke the financial modeling skill to build the refreshed model.

Output numbers for Years 3-5 are unrealistically high — acquisition growth at 10% MoM compounding indefinitely produces 54K+ customers. Also conservative/base cash goes negative before the next round. Let me fix the growth deceleration and NRR tapering.

Now taper NRR in later years so expansion revenue doesn't compound unrealistically.

Numbers are much more realistic now (Base Y5: $48M ARR, Optimistic: $74M ARR). But the conservative case has structural cash issues — let me make headcount scaling scenario-dependent and fix bridge timing.

Now update the headcount scaling logic in build_model to use scenario-specific targets.

Conservative still goes cash-negative. Let me check the monthly trajectory to properly size the bridge.

Cash goes negative at month 23 in conservative. The issue is 40 headcount on $1.7M ARR — no company would hire that aggressively with slow growth. In conservative, I'll defer Year 2 hires (months 13-24) to represent cost discipline, and size the bridge appropriately.

Conservative Y3+ still goes deeply negative. For a credible downside scenario, I need leaner headcount and appropriate bridge sizing.

Now add the second bridge logic in the cash flow section.

Numbers are now credible across all scenarios. Let me update the summary to reflect all the changes.

I need to fix the Y3+ scaling baseline — conservative ends Y2 at 26 HC, not 40. Without this fix, there's a hiring spike at M25.

Now update the summary's fundraising and assumptions sections to reflect the conservative scenario changes.

Update the assumptions table with the growth deceleration schedule and add a note about conservative headcount.

Also update the risks section to reflect the actual model dynamics.

Conservative now stays cash-positive through all 5 years ($1.2M at Y5). Let me verify the final summary output.

The summary looks comprehensive. Let me verify the CSV files are clean and do a final sanity check.

Model is ready. Here's what was generated:

Files:

  • seed_model.py — full computation engine (re-runnable with any assumption changes)
  • model_summary.md — investor-ready summary with all tables
  • model_base.csv / model_conservative.csv / model_optimistic.csv — 60-month detail

Five-Year Scenario Summary:

Y1 ARRY2 ARRY3 ARRY5 ARRY5 Cash
Conservative$553K$1.7M$4.7M$16.3M$1.2M
Base$1.2M$5.2M$15.5M$48.0M$17.5M
Optimistic$2.2M$13.1M$32.9M$74.0M$64.3M

Key model decisions:

  • Cohort-based revenue with NRR-driven expansion (fixes prior flat-ARPU issue)
  • Acquisition growth decelerates: scenario rates M1-18, then 8% → 4% → 2% in later years
  • NRR tapers to 108% by Y4 (mature SaaS steady-state)
  • Conservative defers Y2 hires and stays lean (26 → 35 → 60 HC) with $5M + $3M bridge rounds
  • Base shows cash dip before M25 Series A — flag for early fundraise start
  • Base turns profitable Y4 ($421K net), Y5 ($7.8M net)
  • Unit economics at Y1 end: $195 ARPU, $2,443 CAC, 1.6x LTV/CAC, 82% gross margin

One callout for the meeting: the LTV/CAC is 1.6x at Y1 end (below the 3x benchmark), driven by heavy S&M investment. It improves significantly as acquisition efficiency scales — the burn multiple drops from 3.4x (Y1) to 1.2x (Y2) to 0.3x (Y3).

Claude Sonnet 4.6

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SKILL.md

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.

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

FAQ

What does startup-financial-modeling do?

Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. Use this skill when creating financial projections, calculating burn rate or runway, modeling fundraising scenarios, or preparing investor-ready financials for a seed or Series A raise.

When should I use startup-financial-modeling?

Use it when you need a repeatable workflow that produces structured table, text report, source code.

What does startup-financial-modeling output?

In the evaluated run it produced structured table, text report, source code.

How do I install or invoke startup-financial-modeling?

Ask the agent to use this skill when the task matches its documented workflow.

Which agents does startup-financial-modeling support?

Agent support is inferred from the source, but not explicitly declared.

What tools, channels, or permissions does startup-financial-modeling need?

It uses no extra tools; channels commonly include table, text, code; permissions include filesystem:read, filesystem:write.

Is startup-financial-modeling safe to install?

Static analysis marked this skill as medium risk; review side effects and permissions before enabling it.

How is startup-financial-modeling different from an MCP or plugin?

A skill packages instructions and workflow conventions; tools, MCP servers, and plugins are dependencies the skill may call during execution.

Does startup-financial-modeling outperform not using a skill?

About startup-financial-modeling

When to use startup-financial-modeling

When building a 3-5 year operating model for a seed or Series A startup. When estimating burn rate, runway, and fundraising needs under multiple scenarios. When preparing investor-ready projections tied to hiring and unit economics.

When startup-financial-modeling is not the right choice

When you need bookkeeping, accounting compliance, or tax preparation rather than forward-looking planning. When the task is simple descriptive budgeting that does not require a structured financial model.

What it produces

Produces structured table, text report and source code.