Building an Open-Source AI-Native GTM Engine for Lead Research and Outreach Strategies
Building an AI-Native GTM Engine? Here’s the Open-Source Stack for Lead Research & Outreach 🤖🔥 Hey RevGenius family! 👋 Been experimenting with building automated GTM engineering pipelines combining Kimi AI (Moonshot), n8n / Make, and custom AI Agent Skills. Instead of relying purely on expensive closed-source SaaS wrappers, here’s a breakdown of the open-source repos & skills we’re using to automate lead enrichment, personalized copy, and signal monitoring: 📊 1. Lead Scraping & Signal Detection Agent-Reach: Scraping Twitter/X, Reddit, & social channels without API bloat. Crawl4AI: Converts prospect websites/pricing pages into clean Markdown for LLM reasoning. ✉️ 2. Personalization & Copy Engines Composio Marketing Skills: Bridges Kimi/Claude direct to Smartlead, Instantly, Gmail, & HubSpot. Ad-Creative & Copywriting Skill: Pre-built prompt skills for high-converting outbound hooks. 🔄 3. Automation & Orchestration Bridge n8n AI Workflows: Triggering Moonshot/Kimi API via custom HTTP nodes for lead scoring & inbound routing. 💡 The Core Stack Setup: Lead Signals (Web/Forms) ➔ n8n/Make ➔ Kimi AI Processing ➔ CRM / Cold Engagement Would love to hear—what open-source skills or agent tools are you all using in your GTM stack right now? Drop your thoughts below! 👇