LiGo Runner
Createdertiqah
Leverages GPT models to analyze LinkedIn content and generate personalized posts.
About
LiGo Runner's Model Context Protocol (MCP) enables GPT-based assistants like Claude and ChatGPT to access and analyze your LinkedIn data, allowing for personalized content creation and strategy. By connecting to your public LinkedIn profile (with your consent), the tool allows you to create posts, analyze what's working, and rewrite content in your voice, acting as a creative co-pilot trained on your actual LinkedIn activity. It's part of the broader LiGo platform, which offers additional features like commenting, analytics, and CRM, providing a comprehensive solution for LinkedIn management.
Key Features
- Generates personalized content suggestions
- Rewrites posts in your unique voice
- Analyzes past LinkedIn posts
- Provides insights on post performance
- Connects to Claude and ChatGPT
- 0 GitHub stars
Use Cases
- Brainstorming new content ideas for LinkedIn
- Analyzing which types of posts perform best
- Rewriting existing posts for better engagement
