AI Agent: Hacker News Learning Resource Curator with Google Gemini

Unlock Efficient Learning Resource Discovery with this AI Agent

Stop manually sifting through endless forum threads! This AI Agent acts as your personal research assistant for learning new skills. Simply provide a topic you want to learn, and the agent will dive into Hacker News discussions, identify relevant 'Ask HN' posts, and fetch comments. It then uses Google Gemini's advanced language understanding to extract, categorize, and rank the most valuable learning resources mentioned.

This AI-driven automation empowers you to quickly find high-quality courses, books, articles, videos, and more, tailored to your learning needs, saving you significant time and effort. The agent's ability is focused on intelligent resource curation and knowledge extraction.

Key Features & Benefits

• AI-Powered Resource Discovery: Automatically searches Hacker News for discussions relevant to your chosen learning topic.
• Intelligent Content Analysis: Employs Google Gemini (specifically the gemini-1.5-flash model) to sift through comments, identify valuable resources, and understand context.
• Smart Categorization & Ranking: Organizes resources by type (e.g., courses, articles, videos) and perceived difficulty level (beginner, intermediate, advanced), then ranks them based on insights from the discussions.
• Personalized Email Digest: Delivers a neatly formatted HTML summary of top recommendations directly to your inbox, making it easy to access and act upon.
• Saves Hours of Manual Research: Eliminates the tedious task of manually browsing forums and vetting countless comments.
• Actionable Learning Paths: Provides a quick start to learning new skills or technologies based on the collective wisdom of the Hacker News community.

• An n8n instance (Cloud or self-hosted).
• Google Gemini API Key (from Google Cloud Vertex AI or Google AI Studio) with access to a Gemini model (e.g., gemini-1.5-flash).
• Credentials for an SMTP server to send emails (e.g., Gmail App Password, SendGrid API Key).

1. Download the n8n workflow JSON file.
2. Import the workflow into your n8n instance.
3. Configure the 'Google Gemini Chat Model' node: Create or select your Google Gemini API credentials. Ensure the modelName (e.g., models/gemini-1.5-flash) is correctly set and available for your API key.
4. Configure the 'SendEmailWithTopResources' node: Set up your SMTP credentials (e.g., for Gmail, you might need an App Password if 2FA is enabled) and update the fromEmail if desired.
5. Review the 'GetTopicFromToLearn' (Form Trigger) node: Note its path (default: learn) as this forms part of the URL to trigger the workflow (e.g., your-n8n-domain/webhook/learn). You can customize the form title and field labels if needed.
6. The 'Basic LLM Chain' node contains the core prompt for Google Gemini. You can inspect and modify it if you have specific requirements for categorization or output style, but the default is designed to be comprehensive.
7. Activate the workflow. Access it via the form URL generated in step 5 to input your learning topic and email address.