A marketing agency was drowning in client demands. I hacked together a simple bot to take the load off. What it does? 👉 Generates short-form content ideas 👉 Writes captions 👉 Schedules posts across multiple accounts Nothing fancy. Just solving a headache. But here’s the twist… Other agencies saw it. They wanted in. Now? It’s a micro-SaaS running 24/7 for 12 agencies. I don’t touch it. It just works. And the subscription payments land every month. From one problem → to a system → to a business. The craziest part? I never planned to build a SaaS. It happened because I solved my own problem first. Sometimes the “little tool” you build to make your life easier… …ends up becoming the thing everyone else wishes they had.

This setup is a great fit for SMMAs or anyone working with content at scale. If you’re interested, I can share the JSON file for Make.com along with the API provider I use in the video — you can test it yourself on free trials and see if it fits your workflowa Check out the video, and feel free to ask me anything in the comments!

A few weeks ago, I met Salim. He runs a garment sourcing business, connecting factories in Bangladesh with buyers across Europe. Great guy, solid product, but he was struggling hard with outreach. No system, no automation, just manual hustle and missed opportunities. So I built him a full-stack engine: lead generation, personalized email campaigns, appointment booking, and even an AI voice agent that cold calls and qualifies leads. I handled the whole funnel...from scraping to scheduling to CRM tagging. He paid me $3,500 for the build. But here’s where it got interesting. Instead of just maintaining the system, I pitched him a bigger play. I told him: “Let me handle the outreach, the meetings, the closing..and you share 30% of the profit from every deal that comes through this machine.” He said yes. Now I’m not just the tech guy..I’m the closer, the strategist, and the growth partner. Every time a buyer places an order, I get a cut. And I manage the entire pipeline like it’s my own business. This isn’t just a win...it’s leverage. From workflow to revenue share. From one-time fee to recurring upside. If you’re building systems for clients, don’t stop at delivery. Think bigger. Own the outcome. Let's go....

AI-Powered Lead Generation Workflow Just built an AI-powered lead generation workflow using n8n! I've been experimenting with AI automation to streamline digital marketing, and for this project, I tackled a key challenge — finding and reaching out to potential business leads with personalized cold emails. Here's what I built: 💬 It starts with a chat trigger to input a website URL 🔍 An AI agent analyzes the website for business details and digital marketing gaps (like weak SEO or outdated design) ✉️ Crafts a tailored cold email addressing the business by name, offering solutions to improve their online presence 📧 Extracts the best contact email from the site and sends the email via Gmail 💾 Logs all details (business name, email, marketing gaps, and solutions) to Google Sheets All of this runs seamlessly, turning a website URL into a personalized outreach in minutes! This was built using: n8n for the automation flow Google Gemini for intelligent website analysis and email crafting Gmail for sending outreach emails Google Sheets for storing lead data This project was a blast to build — automating lead gen with AI feels like a superpower! Next up: integrating a CRM or adding follow-up email sequences. If you're into digital marketing automation or building with n8n, let’s connect and share ideas!

Lead Machine Automation Workflow: A Step-by-Step Breakdown for Efficient Lead Gen Hello Skool community! If you're in the world of online business, marketing, or entrepreneurship, you know lead generation is the lifeblood of growth. Today, I'm sharing a detailed walkthrough of a smart automation system called the "Lead Machine." This isn't just theory—it's a practical workflow using no-code tools to collect, scrape, analyze, and outreach to leads. Perfect for our discussions on scaling businesses! Based on the visuals from a recent video/demo, here's how it all comes together (likely built on platforms like Make.com with integrations to Apify, Google Gemini AI, and Google Sheets): Step 1: Input Collection & Lead Scraping A user-friendly form captures essentials: business type (e.g., "Plumber"), location (e.g., "Rome, Italy"), and lead count. Submitting fires off an API call to Apify's crawler, which scans Google Maps for relevant businesses. It fetches details like websites and basic info, filtering to match your criteria. This automates the tedious search process, pulling in dozens or hundreds of leads quickly. Step 2: AI-Powered Website Dive For each lead, an AI agent (Google Gemini Chat model) analyzes the business website. It extracts the owner's name, spots marketing weaknesses (like poor UX or content gaps), crafts a customized cold email pitch, and scrapes the contact email. This adds a layer of personalization that's key to standing out in inboxes. Step 3: Data Structuring & Storage The AI's output gets refined via an extractor tool (another Gemini instance) that parses it into clean, structured data—e.g., fields for email, pitch text, and notes. This is then saved or updated in Google Sheets, creating a centralized database for your leads. Step 4: Automated Outreach Loop The workflow loops through leads individually: sends the email, updates the sheet status to "sent," and inserts delays (e.g., minutes between sends) to dodge spam flags. It's designed for real-time monitoring, so you can track progress without constant checks.