📱 Convert GitHub code commits to LinkedIn posts with Gemini AI and code image generation

⚡ 109 views · 📱 Social Media & Email Marketing

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

Description

Turn your code commits into engaging social media content automatically. This workflow monitors a GitHub repository, uses AI to write a LinkedIn post about your changes, generates a beautiful “Mac-window” style image of your code, and publishes it all to LinkedIn.

How it works

1. GitHub Trigger: Watches for new push events in your selected repository.
2. AI Analysis: Passes the code changes to an LLM (via LangChain) to write a professional LinkedIn post and select the best code snippet.
3. Image Generation: Creates a custom HTML view of your code (with syntax highlighting and window controls) and converts it to an image using the HCTI API.
4. Hosting & Posting: Uploads the generated image back to GitHub for hosting, then combines the text and image to publish a live post on LinkedIn.

Set up steps

1. Configure Credentials: You will need credentials for:
   • GitHub (OAuth2 or Access Token)
   • LinkedIn (OAuth2)
   • OpenRouter (or swap the model node for OpenAI/Anthropic)
   • HCTI.io (for the HTML-to-Image conversion)
2. Update GitHub Nodes:
   • In the Trigger node: Set your Owner and Repository.
   • In the File Download node: Set the same Owner and Repository.
   • In the Upload Image node: Set the target repo where you want images stored.
3. Update LinkedIn Node:
   • Add your LinkedIn Person URN in the Person field.

🔗 Nodes Used

GitHub, Github Trigger, HTTP Request, LinkedIn, AI Agent, Structured Output Parser

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup