I built my own lead generation machine because I moved to Denmark with zero network.

I moved to Denmark.

I didn't know anyone. I had no network. And I needed to find companies I could sell automation services to.

I could spend hours manually searching for companies, finding emails, cleaning data, and sending messages one by one.

Or I could automate the process.

So I built a complete lead generation pipeline:

→ 🐍 Python scraper connected to Denmark's public government CVR database → 📊 Google Sheets synchronization to normalize and deduplicate companies → ✉️ Automated cold email workflow with 10 sector-specific templates using n8n → 📱 Daily Telegram reports with full pipeline statistics → 💼 Assisted LinkedIn outreach: 10 leads per day + a ready-to-send message

And these are the numbers:

📈 19,334 leads in the database 📧 71% email coverage 🏭 10 sectors 🔢 34 industry codes ✉️ 25 automated emails per day ♾️ ~534 days of outreach without repeating a lead 💰 $5/month total cost — basically just the VPS.

The interesting part isn't the scraper.

It's not n8n.

It's not Telegram.

The interesting part is that a process that used to take hours of manual work can now run almost entirely on its own.

And that's exactly what I want to build for companies:

Find repetitive processes → design the system → automate them → measure the results.

In the video, I break down the entire pipeline, piece by piece.

If you're building something similar, let me know which part you'd like me to break down next. 👇

#Automation #AI #LeadGeneration #n8n #Python #ColdEmail #SalesAutomation #B2BAutomation #Denmark #BuildInPublic