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What is Valuation101?

Valuation101 is a Claude plugin that implements a DCF valuation through natural conversation. It follows the methodologies made famous by Aswath Damodaran, NYU’s Dean of Valuation [1]. The plugin fetches financial data for the company being valued from the SEC, computes Cost of Capital, forecasts revenue and operating margins using earnings guidance, calculates free cash flows, and finally returns an intrinsic value per share — all while explaining every step.

Get Started

Install the plugin and run your first valuation in under 5 minutes

Case Studies

Real completed company valuations with full breakdowns and commentary

How a Valuation is Performed

The 8-phase FCFF pipeline from ticker to intrinsic value

Methodology

The academic framework behind every calculation

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How it works

1

Pick a company

Say “Value Apple” or “What’s Tesla worth?” — the plugin identifies the company and fetches live SEC EDGAR data.
2

AI builds the model

19 skills run in sequence: pulling data directly from the SEC, computing trailing-twelve-month financials, estimating Cost of Capital, projecting growth, and running the DCF.
3

Get your intrinsic value

You receive a value per share with a full breakdown — revenue projections, margin convergence, reinvestment rates, and terminal value. Every number is auditable.

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Built on Damodaran’s methodology

Every formula in this plugin maps directly to a cell in Aswath Damodaran’s fcffsimpleginzu spreadsheet. See his video for clarification. The math is implemented in a tested Python library, so calculations are deterministic and auditable — the AI handles the conversation, and judgement regarding when to manually override a tool, it doesn’t do the arithmetic.

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Three modes for every skill level

Feeling Lucky

One-click valuation using sensible defaults. Get an intrinsic value in ~2 minutes, then tweak.

Novice Mode

Guided walkthrough with explanations at every step. Learn DCF valuation by doing one.

Expert Mode

Full control over every assumption. You choose the ERP method, set growth rates, override industry averages.

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For AI agents

This documentation is optimized for LLM consumption. Agents can access:
  • /llms.txt — Curated index of all documentation pages
  • Structured frontmatter on every skill page with machine-parseable inputs, outputs, and depends_on fields

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Follow along

Weekly valuations, methodology deep-dives, and plugin updates on Substack.
Disclaimer — Valuation101 is not affiliated with, endorsed by, or connected to Aswath Damodaran or NYU Stern in any way. The plugin is built by an independent developer using Damodaran’s publicly available spreadsheets and teachings as a foundation.Where the plugin deviates from Damodaran’s methodology — most notably in using S-curve convergence schedules rather than simple linear transitions for forecast variables — it does so in letter, not in spirit. The goal is always the same: arrive at a defensible intrinsic value through transparent, assumption-driven cash flow modelling.