• METRICS
  • INSIGHTS
  • IDENTIFICATION
  • HUMAN

How to assess network density and health with your AI

Connect your cohort data once. Your AI handles the math to show you how well your startups are actually talking to each other.

Ask AI about this page

Short answer

How do I measure peer learning in my startup cohort?

Your AI calculates connectivity scores by analyzing connection lists and sector overlap. You get a clear view of network density and specific peer learning metrics. This breakdown shows you how the data turns into insights.

The outcomes.

What you get from the analysis.

The AI processes your raw connection data into these specific outcomes.

METRICS

Quantitative connectivity scores

The AI uses your connection lists to generate hard numbers on how dense your network is. You see exactly how much interaction is happening.

INSIGHTS

Sector overlap analysis

The agent identifies where different industries or sectors intersect. This shows you where knowledge transfer is most likely to happen.

IDENTIFICATION

Peer learning gaps

The tool flags areas where connectivity is low. You'll see which startups are isolated from the rest of the group.

HUMAN

Strategic intervention points

The AI identifies the clusters, but you decide how to facilitate more meetings or change your program structure based on the results.

The workflow

What your AI does when the data arrives.

The AI moves from raw lists to structured intelligence through these steps.

  1. Ingest connection data

    The agent reads your provided connection lists and startup sector data to build a map of the cohort.

    calculate_peer_learning_metrics

  2. Calculate density

    The AI runs the math to determine how many connections exist relative to the total number of participants.

    calculate_peer_learning_metrics

  3. Map sector overlap

    The agent compares industry tags to find where different startups share common ground for learning.

    calculate_peer_learning_metrics

  4. Score peer learning

    The final step produces a specific score representing the health of the cohort's knowledge exchange.

    calculate_peer_learning_metrics

Try it

Copy these to start.

Use these prompts to kick off the analysis.

Starting points

These are starting points. Swap the bracketed text for your actual file names or sheet names.

Accelerator Peer Learning Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_U3JmniJruQZiDpBSxVUcoaax6WjyGyuLzlWRHwUa/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 Peer Learning Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-peer-learning-value-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_U3JmniJruQZiDpBSxVUcoaax6WjyGyuLzlWRHwUa/mcp"
    }
  }
}
Copy into chat04

  • Calculate the peer learning metrics for the connection list in my Google Sheet.

  • Based on the cohort data in this CSV, what is the sector overlap between the fintech and healthtech startups?

  • Show me the network density score for the startup list I just uploaded.

  • Identify which startups in my connection list have the lowest peer learning scores.

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

Start here

Connect Accelerator Peer Learning Value Engine once, then ask.

Just link the MCP to your client. Your credentials stay encrypted, and you can immediately start asking questions about your cohort data.

Connect Accelerator Peer Learning Value Engine to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change my original connection list?

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

  • 02

    Does the AI create new connections for me?

    No. The AI only analyzes the connections that already exist in your data. It does not suggest or create new contact entries.

  • 03

    What kind of files can I use?

    You can use any data format your AI client can read, such as CSVs, Excel files, or Google Sheets, as long as they contain the necessary connection and sector info.

  • 04

    Do I need to format the data a certain way?

    The data needs to include clear identifiers for the startups and their respective sectors so the tool can map the overlaps correctly.

  • 05

    Can the AI tell me who to introduce to whom?

    The AI can identify where overlap exists, but the actual decision to make an introduction is a human task.

  • More questions about Accelerator Peer Learning Value Engine? The Connector page answers them. See everything the Accelerator Peer Learning Value Engine Connector can do

Connect Accelerator Peer Learning Engine to Claude, Cursor, ChatGPT & more