I'm Mahdi—an automation engineer and indie builder turning real business constraints into polished n8n solutions. Every workflow here is documented, stress-tested, and ready for you to remix.
Workflow gallery
Filter by use case, complexity, or stack to discover the same workflows I deploy for clients and my own products.
This workflow template is designed for content creators, researchers, educators, and professionals who need quick, accurate summaries of YouTube videos. It’s ideal for those looking to save time, extract key insights, or repurpose video content into concise formats for reports, studies, or social media. Setup Instructions You need an Apify account and an API key to connect with the Actor. Follow the steps below: Create a Free Account. Choose the appropriate Actor from the Apify search. Under the Integration tab, click on “Use API endpoints.” Select the API that best suits your needs.
Use cases
This workflow automatically collects and organizes research papers from academic databases and journals into Google Sheets. It helps researchers and students save time by eliminating manual searches across multiple academic sources and centralizing research materials.
Use cases
A sophisticated automation system that combines email management, calendar organization, and daily briefings into one intelligent personal assistant. This system uses GPT-4 to understand natural language commands and seamlessly handle your daily communications, scheduling, and task management. NOTE: You should put each MCP server trigger in a separate workflow and activate that workflow, and then you will be able to use the production URL of the trigger in the main workflow. ⚡ Key Features -Natural language command processing -Integrated Google Workspace automation -Multi-tool synchronization -Personalized morning briefings -Smart contact management -Automated task tracking -Real-time updates and notifications
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This n8n template demonstrates how to use AI to generate custom images from scratch - fully automated, prompt-driven, and ready to deploy at scale.
Use cases
This workflow automates ingesting Google Drive files (Google Docs and XLSX) into a Supabase/Postgres-backed RAG pipeline. It detects file updates in a monitored folder, downloads and extracts text or table rows, summarizes and splits content into chunks, and generates OpenAI embeddings (text-embedding-3-small) via Lang Chain nodes. The flow upserts document metadata and table rows into Postgres/Supabase, inserts embeddings into a Supabase vector store for semantic search, and removes previous entries to keep the index in sync.
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This project teaches you to create a personal AI assistant that operates through Telegram. It can summarize unread emails, check calendar events, manage Google Tasks, and handle both voice and text interactions. The assistant provides a comprehensive digital life management solution accessible via Telegram messaging.
Use cases