DCF Modeler

SkillAI & models

Builds DCF models with terminal value, WACC calculation, sensitivity tables

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the DCF Modeler skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/venture-capital/skills/dcf-modeler/SKILL.md and read by ahel’s review.

Overview

The DCF Modeler skill builds Discounted Cash Flow valuation models for venture capital analysis. While DCF is less common for early-stage VC, it supports late-stage growth investments, exit analysis, and LP return modeling where cash flow projections are meaningful.

Capabilities

Cash Flow Projection

  • Project operating cash flows
  • Model capital expenditure requirements
  • Estimate working capital changes
  • Handle loss-making growth phase transitions

Discount Rate Calculation

  • Calculate WACC for appropriate structures
  • Apply venture-appropriate discount rates
  • Adjust for stage and risk profile
  • Model cost of equity with VC premiums

Terminal Value Estimation

  • Calculate terminal value via exit multiple
  • Apply perpetuity growth method
  • Hybrid terminal value approaches
  • Terminal value sanity checks

Sensitivity Analysis

  • Build sensitivity tables
  • Model key assumption impacts
  • Calculate value driver sensitivities
  • Create scenario matrices

Usage

Build DCF Model

Input: Financial projections, assumptions
Process: Build cash flow model, calculate value
Output: DCF valuation, model outputs

Calculate Discount Rate

Input: Company profile, capital structure
Process: Calculate appropriate discount rate
Output: WACC/discount rate, methodology notes

Estimate Terminal Value

Input: Terminal year financials, exit assumptions
Process: Calculate terminal value
Output: Terminal value, percentage of total value

Run Sensitivity Analysis

Input: Base case model, sensitivity parameters
Process: Calculate sensitivities across ranges
Output: Sensitivity tables, tornado charts

DCF Components

ComponentVC Considerations
Projection Period5-10 years to steady state
Discount Rate20-40%+ for early stage
Terminal ValueOften 60-80%+ of total value
Cash FlowsMay be negative for years
Exit MultiplePrimary terminal method

Integration Points

  • DCF Analysis Process: Core modeling skill
  • Financial Model Validator: Validate model inputs
  • Multiple Calculator: Terminal value multiples
  • Sensitivity Analyst (Agent): Support analysis

Discount Rate Considerations

StageTypical Discount Rate
Seed40-60%
Series A35-50%
Series B30-40%
Growth20-30%
Late Stage15-25%

Best Practices

  1. DCF is supplementary for early-stage VC
  2. Use realistic projections, not hockey sticks
  3. Heavily weight terminal value sensitivities
  4. Consider probability-weighted scenarios
  5. Triangulate with VC method and comparables

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
dcf-modeler
Source
github.com/a5c-ai/babysitter