Automated Customer Acquisition Engine

In this guide, we will set up an end-to-end system that identifies your target audience and initiates the first contact without manual intervention.

The Workflow Architecture

We will use CrewAI as the primary orchestration engine, leveraging specialized agents to handle the research and drafting phases.

Step 1: Market Intelligence Agent

Define an agent tasked with monitoring GitHub trending and Product Hunt for competitors and potential collaborators.

researcher = Agent(
  role='Market Intelligence Analyst',
  goal='Identify 10 high-signal leads in the AI Agent space',
  backstory='Expert in trend analysis and competitive landscape mapping.',
  tools=[search_tool, github_tool]
)

Step 2: Personalized Outreach Agent

This agent takes the research data and drafts highly personalized messages.

• Tooling: Use Claude Sonnet via the Anthropic API for the best “human-like” writing style.
• Context: Reference the specific repository or product the lead is working on.

Step 3: Deployment with Midday

Use the Midday AI SDK to log these interactions in your dashboard and set reminders for follow-ups if no response is received within 72 hours.

Key Repositories Used

• CrewAI: For agent coordination.
• Claude Skills: For specialized writing subagents.
• Midday: For CRM and tracking.