Overview
This workflow automates the process of finding and recommending top learning resources from Hacker News based on user input. By leveraging AI and multiple integrations, it streamlines resource discovery and delivery.
Key Features
- User Input Collection: Starts with a form trigger where users specify a topic they want to learn about.
- Hacker News Search: Searches Ask HN posts and relevant comments for the specified topic using the Hacker News API.
- AI-Powered Summarization: Utilizes Google Gemini and a basic LLM chain to analyze and extract the most valuable resource recommendations from the collected data.
- Content Aggregation: Aggregates and processes comments and links, combining them into a single, coherent text.
- Automated Email Delivery: Converts the recommendations into HTML and sends a formatted email with the top resources directly to the user.
Benefits
- Time Savings: Automates manual research, saving hours of browsing and summarizing.
- Quality Recommendations: AI ensures only the most relevant and valuable resources are delivered.
- Seamless Delivery: Users receive curated content directly in their inbox, enhancing accessibility.
Use Cases
- Individuals seeking to quickly learn about new topics.
- Teams or organizations curating learning resources for onboarding or training.
- Content managers looking to enrich newsletters with trending tech resources.
Integrations
- Hacker News API for data sourcing
- Google Gemini AI for summarization
- Email service for automated delivery
