CP

connectaman/pitchlense-mcp

Developer tools

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A comprehensive Model Context Protocol (MCP) package for analyzing startup investment risks using AI-powered assessment across multiple risk categories. Built with FastMCP and LLM.

概要

🏆 !!! of under the problem statement “AI Analyst for Startup Evaluation.” 🏆 Competing among 278,000+ participants and 180,000+ teams nationwide A comprehensive Model Context Protocol (MCP) package for analyzing startup investment risks using AI-powered assessment across multiple risk categories. Built with FastMCP and Google Gemini AI. PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage ventures. The platform analyzes multiple dimensions of startup risk and provides actionable insights for investors, founders, and stakeholders. - Website Link : https://www.pitchlense.com - Web App Github Repo: https://github.

README

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PitchLense MCP - Professional Startup Risk Analysis Package

🏆 WINNER !!! of Google Cloud Gen AI Exchange Hackathon under the problem statement “AI Analyst for Startup Evaluation.” 🏆 Competing among 278,000+ participants and 180,000+ teams nationwide

A comprehensive Model Context Protocol (MCP) package for analyzing startup investment risks using AI-powered assessment across multiple risk categories. Built with FastMCP and Google Gemini AI.

PitchLense is a comprehensive AI-powered startup analysis platform that provides detailed risk assessment and growth potential evaluation for early-stage ventures. The platform analyzes multiple dimensions of startup risk and provides actionable insights for investors, founders, and stakeholders.

📖 How to Use PitchLense

Watch our comprehensive tutorial video to learn how to use PitchLense effectively:

Click the image above to watch the tutorial on YouTube

🚀 Features

Individual Risk Analysis Tools

  • Market Risk Analyzer - TAM, growth rate, competition, differentiation
  • Product Risk Analyzer - Development stage, market fit, technical feasibility, IP protection
GitHub で README 全文を見る

インストール

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