• RANKED
  • METRIC
  • GAP
  • HUMAN

How to rank startup applications with your AI

Connect your application data once. From then on, your AI handles the heavy lifting of scoring and sorting every candidate against your criteria.

Ask AI about this page

Short answer

How can I use AI to rank my accelerator applicants?

Your AI uses custom weighted metrics to assign a specific score to every individual candidate. This creates a mathematical baseline ranking so you can see who hits your requirements immediately. You'll get a clear, sorted list of top-tier startups to review first.

Where every application lands.

The outcomes of scoring

The AI processes the raw data into these specific views.

RANKED

A sorted shortlist

The AI uses calculate_application_score to order candidates from highest to lowest. You get a prioritized list of who to interview first.

METRIC

Weighted score breakdown

Every candidate gets a numeric value based on your specific weights. You can see exactly how they stack up against your core pillars.

GAP

Missing data alerts

The AI flags applications that lack the information needed for a full score. You'll know exactly which files need a human follow-up.

HUMAN

Manual review queue

The AI leaves the final decision to you. It provides the data, but you decide who actually makes the cut.

The workflow

What your AI does when the data arrives.

The AI moves from raw text to a structured leaderboard.

  1. Ingest applications

    Your AI reads through the submitted text and data for every startup in your pool.

    calculate_application_score

  2. Apply weights

    The agent applies your specific importance levels to different categories like team, market, or product.

    calculate_application_score

  3. Generate baseline

    The AI calculates a final score for every single entry to create a starting point.

    calculate_application_score

  4. Organize results

    The AI sorts the entire batch so the highest-scoring candidates appear at the top of your list.

    calculate_application_score

Try it

Copy these to start.

Use these prompts to trigger the scoring process.

Starting points

Swap out the bracketed text with your actual scoring criteria or data sources.

Accelerator Selection Scoring Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_aqea14An4EhXYTHzQGWIoqNZxUeuxn7JbeRXLMij/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 Selection Scoring capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-selection-scoring-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_aqea14An4EhXYTHzQGWIoqNZxUeuxn7JbeRXLMij/mcp"
    }
  }
}
Copy into chat04

  • Calculate scores for all applicants in my Google Sheet using these weights: Team 40%, Market 30%, Product 30%.

  • Rank the startups from my latest CSV upload based on their technical scalability.

  • Score the applications in this folder and highlight anyone who scored above an 80.

  • Review the applicants in my Airtable and give them a baseline rank based on founder experience.

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

Start here

Connect Accelerator Selection Scoring once, then ask.

Just link your data source once. Your credentials stay encrypted, and you can immediately start asking your AI to score and rank your candidates.

Connect Accelerator Selection Scoring to your AI

FAQ

How the scoring works

  • 01

    Can the AI automatically reject applicants?

    No. The AI only calculates scores and ranks them. You must make the final decision to reject or accept a candidate.

  • 02

    Does the AI change my original application data?

    No. The AI only reads your data to calculate scores. It cannot edit or delete your original application entries.

  • 03

    How do I change the importance of a specific metric?

    You simply tell your AI client to change the weights in your next prompt.

  • 04

    Can it score applicants if the data is incomplete?

    It will attempt to score them, but the score will be lower or flagged if key information is missing.

  • 05

    What happens if I add new applications later?

    You can ask your AI to score the new entries and integrate them into your existing ranking at any time.

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

Connect Accelerator Selection Scoring to Claude, Cursor, ChatGPT & more