I don’t run ads. I don’t chase virality. I just build systems that get replies. In the last few months alone: - Generated 84 inbound responses from cold outreach - Helped clients close $12.8K → $18.4K months (all without touching the inbox) - Built lead engines that consistently deliver 25–60 qualified conversations/month - Replaced 3-person SDR teams with one automation - And turned broken outreach processes into predictable pipelines (finally) I didn’t get here overnight. I tested for 2 years, broke things, rebuilt them, and eventually found what actually moves revenue for agencies, SaaS, and service businesses. Along the way: - My content hit 3M+ organic views - My IG grew to 19K followers - Over 10,000 people downloaded my automation templates - And more importantly → the system worked the same for clients as it did for me No hacks. No “magic” copy. Just a repeatable outbound engine that does exactly what ads promise — but at 0% ad spend and 5–10x higher ROI. If you’re in this community, you’re probably already doing outreach, content, ads… something. But if you want to know how agencies are booking calls like clockwork without: ❌ praying to Instagram for leads ❌ paying Meta/Google $40–$70 per demo ❌ writing cold emails manually ❌ or buying shady lead lists …then you’ll probably find the next few posts valuable. I’ll be breaking down: - What an actual high-ROI lead gen system looks like - The small tweaks that triple reply rates - Why most outreach fails even with a great offer - And how to finally build predictable deal-flow without scaling ad spend No funnels. No pitch. Just sharing what’s already working across multiple industries. If you want my exact lead gen process I use to close $5k–$20k clients every month → Click “Free Template.” If you want guaranteed 25+ qualified leads per month for your agency or SaaS → Book a meeting.

just a few weeks ago, this project was nothing more than an idea.Today, it has become my first true professional experience in automation, deployed for a real estate client.And honestly, what a journey. 🎯 The challenge: fully automate Facebook publishing from Google Sheets The goal seemed simple at first: 🟦 The client fills a Google Sheet 🟦 Texts + images are retrieved 🟦 Posts are automatically published on Facebook But behind this simplicity lies real engineering work:Facebook API, image processing, error handling, trigger logic, testing, optimization a genuine first professional project. 🔧 From draft to production 100% functional today I built everything locally, on a modest machine, dealing with real-world constraints: ⚡ Power outages 📶 Unstable internet 💻 Limited resources A reality that no tutorial really shows, especially in Africa, but it’s no excuse not to deliver an effective, robust, and adaptable solution in any environment. Despite all that, the workflow now works from A to Z at the client’s site: ✔️ Google Sheets → n8n ✔️ Automated posting validated ✔️ Active monitoring by me The client immediately saw the value.The result? They already asked me to take it further:"I want a cloud version now more stable and accessible anywhere." A true sign of trust. 💡 What this first assignment taught me In just a few days (less than 7), I learned to: - Manage a full project from start to finish - Deliver a professional solution that actually works - Explain technical concepts simply - Build a reliable workflow despite constraints - Maintain a production system for a real client This first experience confirmed one thing:Automation is not just a technical skill it’s mostly human understanding, adaptability, and rigor. 🖥️ And then there was TeamViewer A little personal touch:I remember my high school years everyone talked about TeamViewer, but I had never really used it.It was just “a software I knew by name.” Fast forward several years, and this same tool allowed me to:

People talk about “finding insights” in their data as if it’s a treasure hunt. But real insight doesn’t just appear — it’s engineered. Every valuable data insight starts with a great question. - What are we really trying to understand? - What variable actually drives this outcome? - What pattern matters, and what’s noise? AI helps us see faster, but not think better — that’s still on us. The best data teams don’t wait for magic moments. They build systems that generate insight consistently. In the end, insight isn’t luck. It’s design, iteration, and interpretation — the real alchemy of intelligence.

The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

Hey everyone, I just completed a new course for you: "Data Science Accelerator". This course will be unlocked, together with "Building Applications with LLMs" at level 3. How to level up? Just interact with the group, get likes and comments, and watch your level go up!