Automate B2B Lead Generation with AI-Powered Outreach System

Automate B2B Lead Generation with AI-Powered Outreach SystemAutomate B2B Lead Generation with AI-Powered Outreach System

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Muhammad Ahmad Faizan

• Jul 15

AI-Powered Sales Outreach & Lead Generation Automation SystemAI-Powered Sales Outreach & Lead Generation Automation System.

Built a complete AI-powered B2B lead generation and outreach automation system using n8n, SerpAPI, and Groq LLM. The system automatically discovers businesses worldwide by niche and location, analyzes each company using AI to identify pain points, generates personalized cold emails with HTML templates, saves all leads to a Google Sheets CRM, and runs automated follow-up sequences. The system contacts 100+ businesses daily with zero manual work, featuring duplicate detection, blacklist management, and real-time reporting.

AI Automation AI Engineer Email Automation Gmail Google Sheets N8N

Tamer Oukour

max

• Jul 15

recent static ad work for an AI-native B2B marketing automation platform

Advertisement Design marketingdesign Figma

Boluwatife Delight

• Jul 17

Nice work as usual! The layout balance here is exactly what makes high-converting landing page hero sections work.

Gabriele Mannino

• Jul 16

Vedetta AI: Autonomous Lead Prospecting Agent The Problem: B2B agencies spend countless hours manually searching platforms for leads and filtering out low-budget opportunities. The Solution: I built a custom Node.js autonomous agent that works 24/7. It continuously monitors data sources, parses unstructured text, and passes it through a strict Claude/Gemini scoring model to determine real commercial intent. It then drafts a highly personalized outreach message and pushes it to a Telegram channel for a 1-click human approval. It entirely automates the top of the sales funnel. Tech Stack (Skills da taggare): Node.js, TypeScript, AI Agents, Prompt Engineering, API Integration.

AI Automation AI Development Automation Engineering Claude N8N TypeScript

Bella Brillantes

pro

• Jul 17

Clean work!

Galih Priambodo

• Jul 16

I build a complete RAG-powered customer support system using Telegram, Supabase, Gemini AI, Open AI, Claude AI and n8n automation.

My recent implementation achieved: 80% reduction in repetitive support inquiries 50-70% reduction in support operational costs 75-95% faster response times 3-5x increase in support team productivity

The solution includes: Knowledge base from PDFs and SOPs Vector search with Supabase Voice, image, and text support Human handoff capabilities 24/7 support availability