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AI Lead Generation & Prospect Intelligence Automation
Developed a fully automated lead generation system that discovers businesses, enriches contact information, and creates qualified prospect lists without manual research.
The workflow collects business data from online sources, extracts company information, websites, email addresses, phone numbers, and social profiles, enriches each lead using AI, removes duplicates, and stores everything in a structured CRM-ready database.
This automation dramatically reduces hours of manual prospecting while providing high-quality leads ready for outreach.
Features
Automated business discovery
Website and contact extraction
Email and social profile collection
AI-powered lead enrichment
Data cleaning and deduplication
CRM-ready output
Scalable workflow for thousands of leads
Tech Stack
n8n • AI Models • Google Maps • Serper API • Google Sheets • Airtable
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Related posts
Two designs. One idea. Two different ways to experience travel. ✈️
What if planning your next trip felt less like managing a checklist and more like discovering a story waiting to unfold?
Trailora makes discovery feel effortless, while Horizon turns travel planning into a smarter, more structured experience.
Same industry. Different design directions.
Which direction would you choose: the freedom to explore or the confidence of a well-planned journey?
25 voted
71%
10 voted
29%
35 votes
Closed
Both are lovely! The second one feels more like an adventure, which fits travel well.
A WhatsApp chatbot that automates tasks is NOT the same as a custom-built web application.
And honestly, I’ve noticed how much people love AI-powered WhatsApp bots lately.
As someone who develops AI workflows and custom websites, I personally believe that combining a well-built web application with AI puts you one step ahead.
Imagine having a custom interface, your own database, automated workflows, and an AI agent working together in one place.
That’s a completely different level of flexibility.
Don’t get me wrong: WhatsApp bots aren’t always the inferior option. They’re great for customer-facing interactions and quick communication.
But personally? I’d rather give customers a dedicated web experience whenever the project calls for it.
Are you Team WhatsApp Bot or Team Web Bot?
When the web app and the bot share one database, which side owns the conversation state: the n8n workflow or the app? That choice seems to decide whether a customer can switch between WhatsApp and the web view mid-request.