• METRIC
  • TREND
  • MODEL
  • HUMAN

How to calculate cost per successful company with your AI

Connect your data once. Your AI then handles the math of modeling unit economics across different cohorts.

Ask AI about this page

Short answer

How do I calculate the cost per successful company?

Divide your total cohort investment by the number of companies that meet your success criteria. Your AI automates this by pulling cohort performance and individual company data to give you a precise figure. You'll get a breakdown of how success rates impact your capital efficiency.

The outcomes

Where your analysis lands.

Your AI processes the raw data to produce these four specific views.

METRIC

Success-adjusted cost

The AI calculates the true cost of a single win. You get a clear number representing the investment required to yield one viable company.

TREND

Cohort performance trends

The AI compares success rates across different time periods. This shows if your selection or support methods are improving over time.

MODEL

Capital efficiency models

The AI builds models showing how changes in success rates affect your total fund requirements. This helps you plan future fund sizes.

HUMAN

Strategic decision support

The AI flags outliers or unexpected shifts in cohort health. You decide how to adjust your investment strategy based on these signals.

The workflow

What your AI does when the data arrives.

The AI moves from raw cohort data to specific unit economics without manual spreadsheet work.

  1. Analyze cohort health

    The AI looks at your historical groups to determine how many companies actually hit your benchmarks.

    calculate_cohort_success_metrics

  2. Evaluate individual companies

    The AI pulls the specific financial data for every startup in a given group.

    calculate_company_economics

  3. Synthesize unit economics

    The AI combines the success rates with the total capital deployed to find the cost per win.

    calculate_company_economicscalculate_cohort_success_metrics

  4. Identify efficiency gaps

    The AI compares current cohort costs against previous ones to highlight changes in your model.

    calculate_cohort_success_metrics

Try it

Copy these to start.

Paste these prompts into your chat to begin the analysis.

Starting points

These are opening lines. Swap out the specific names like '2023 Cohort' or 'Seed Fund' for your own data labels.

Accelerator Unit Economics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_d7IusvFYNBn7wRUmYbUoBGaq2mHXdWPz5gBfVx6h/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator Unit Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-unit-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_d7IusvFYNBn7wRUmYbUoBGaq2mHXdWPz5gBfVx6h/mcp"
    }
  }
}
Copy into chat04

  • Calculate the cost per successful company for the 2023 Cohort.

  • Compare the success metrics between the Summer 2022 and Winter 2023 cohorts.

  • Based on the current success rate, how much capital do I need to support 5 successful companies?

  • Run the company economics for all startups in the 'Alpha Fund' to find the average burn.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Accelerator Unit Economics once, then ask.

Just link your data source once. Your credentials stay encrypted, and you can immediately start asking questions in your preferred AI client.

Connect Accelerator Unit Economics to your AI

FAQ

How this task behaves

  • 01

    Can the AI change my original spreadsheet data?

    No. The AI only reads your data to perform calculations. It cannot write to or modify your source files.

  • 02

    Does the AI decide which companies are 'successful'?

    No. You must define the success criteria in your prompt or data. The AI simply applies your logic to the numbers.

  • 03

    Can I use this with any AI client?

    Yes, as long as the client supports the Model Context Protocol (MCP).

  • 04

    What happens if a company has no financial data?

    The AI will report that the specific economics cannot be calculated for that entity.

  • 05

    Can the AI create new investment entries for me?

    No. This MCP is designed for analysis and calculation, not for data entry or record creation.

  • More questions about Accelerator Unit Economics? The Connector page answers them. See everything the Accelerator Unit Economics Connector can do

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