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🚀 Automate Your Appointment Bookings via WhatsApp! This powerful automation template lets you book, manage, and confirm appointments using WhatsApp + AI, fully integrated with Google Calendar, Sheets, and Gmail — all powered by n8n. ✨ Perfect for:

Another day, another automation. This one scrapes Google Maps business data and pushes it straight into Airtable, no manual effort, no fluff. ⚙️ Built with: - Apify Actor for location scraping - Field mapping via N8N - Airtable for structured stora

So, as per the demand, the Blog Title Scraper that pulls article titles from any website is now live for everyone: ⚙️ Built with: → N8N → HTML to Markdown → AI-ready processing 🔗 Supports: ✅ WordPress blogs ✅ Static and custom themes ✅ Multi-domai

🚀 Just built a new automation with Make.com and AI — a Bulk Lead Email Outreach Agent. It automates the full cold email flow: ✔️ Pulls lead data from Google Sheets ✔️ Generates personalized subject lines ✔️ Extracts first names (with smart fallba

🛒 Problem: Quick-commerce workers at Zepto, Blinkit (Zomato), BigBasket (Tata Group), DMart Ready, Swiggy Instamart, Amazon Fresh, JioMart, Spencer’s, Nature’s Basket, and Flipkart Quick face common challenges: ❌ Manual inventory checks ❌ Time-cons

Another day, another automation. Today I built Hawk – a chatbot trained on our FAQ knowledge base at GeeksGrow for instant, human-like support. 🧠 What it does: ✅ Answers questions about our services & pricing ✅ Pulls responses directly from our cu

Another day, another automation ⚡ I wanted to simplify something personal tracking my daily calories. So I built a workflow in n8n: ✅ A webhook captures my meal input ✅ CustomGPT processes & enriches it into nutrition details (calories, protein, ca

🚨 Everyone says "RAG is dead" — but I say: It’s just been badly implemented. I’ve worked on AI systems where Retrieval-Augmented Generation (RAG) either changed the game… or completely flopped. Here’s the hard truth 👇 --- 🤯 Most teams mess up

I’ve built 7 apps in the last year. 10,000+ users. A few already making money. And yet—every day I wake up with another “million-dollar idea” fighting for my attention. The code? Done. The products? Real. The problem? Distribution. I’m not failing

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