SerialStack.ai - Autonomous CRM Platform

The Problem I'm Solving

Founders running multiple small products spend more time on marketing ops than building. Context-switching across disconnected tools. Manually writing email sequences. No unified view across a portfolio.

Enterprise CRMs are bloated. Simple tools lack automation. Nothing exists for portfolio founders managing a stack of products.

Technical Architecture

I'm building SerialStack.ai as an AI-native CRM with a focus on autonomous operation across your entire product stack.

Key Technical Decisions

Multi-Tenant from Day One

• Per-application API keys and event tracking
• Unified analytics layer across products
• Organization-level access control with role inheritance

AI-Native Lead Scoring

• Behavior pattern analysis using event streams
• Autonomous qualification without manual rule creation
• Integrates with Apollo for prospect enrichment

Background Job Architecture

• BullMQ + Redis for reliable sequence execution
• Trigger-based email automation with exit conditions
• Webhook system for real-time notifications

Stack Choices

• Framework: Next.js 16 App Router - server components reduce client bundle, better DX
• ORM: Drizzle - type-safe, performant, good migration story
• Queue: BullMQ - battle-tested, Redis-backed, good observability
• Auth: iron-session + magic links - passwordless reduces friction for SaaS founders

What's Working

• Core CRM with full contact lifecycle
• Visual sequence builder with delay/trigger logic
• Event tracking SDK (page views, clicks, custom events)
• Multi-org support with invite system

What's Next

• AI-powered prospect scoring (training on conversion patterns)
• Apollo integration for automated list building
• Autonomous sequence optimization

Why This Matters for Clients

SerialStack.ai demonstrates my approach to building AI-native SaaS:

• Architecture-first: Multi-tenant, event-driven design from the start
• AI as core, not bolt-on: Lead scoring isn't a feature - it's the foundation
• Production-ready choices: Queue systems, proper auth, scalable patterns

Related Work

• Autonify.ai - Autonomous AI agents for enterprise data
• PodRescale - AI content automation, built in 4 weeks

Building an AI-powered SaaS? Let's talk architecture.