Automated RSS feed processing system that fetches content from multiple sources, generates AI summaries, enriches with images, and stores in Supabase, reducing manual content curation time by 70% while maintaining consistent output.
Make · workflow canvasproduction build
Context
Content creators and marketers manually monitored multiple RSS feeds, read through lengthy articles, wrote summaries, searched for relevant images, and posted content across platforms—spending 8+ hours per week on repetitive curation tasks with inconsistent quality.
Approach
Built Make.com automation with router-based parallel processing that retrieves RSS feed items from multiple sources simultaneously, uses Array Aggregator and Iterator to batch process articles, extracts full content via HTTP requests and parses HTML to clean text, generates AI-powered summaries using OpenAI, searches and attaches relevant images, and stores enriched content with metadata in Supabase for distribution to blogs, newsletters, or social media.
