startup-financial-modeling
Verifiedby wshobson · Updated Apr 16, 2026
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.
See It In Action
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 tablesmodel_base.csv/model_conservative.csv/model_optimistic.csv— 60-month detail
Five-Year Scenario Summary:
| Y1 ARR | Y2 ARR | Y3 ARR | Y5 ARR | Y5 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).
Permissions
| Scope | Description |
|---|---|
| filesystem:read | |
| filesystem:write |
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:
-
Cost of Goods Sold (COGS)
- Hosting and infrastructure
- Payment processing fees
- Customer support (variable portion)
- Third-party services per customer
-
Sales & Marketing (S&M)
- Customer acquisition cost (CAC)
- Marketing programs and advertising
- Sales team compensation
- Marketing tools and software
-
Research & Development (R&D)
- Engineering team compensation
- Product management
- Design and UX
- Development tools and infrastructure
-
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:
- Define business model - Revenue drivers and pricing
- Project revenue - Cohort-based with retention
- Model costs - COGS, S&M, R&D, G&A by month
- Plan headcount - Hiring by role and department
- Calculate cash flow - Revenue - expenses = burn/runway
- Compute metrics - CAC, LTV, burn multiple, runway
- Create scenarios - Conservative, base, optimistic
- Validate assumptions - Sanity check and benchmark
- 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.