DEV Community

Cover image for Introducing MicroSaaSBot
Chudi Nnorukam
Chudi Nnorukam

Posted on • Edited on • Originally published at chudi.dev

Introducing MicroSaaSBot

#ai #saas #automation #microsaas

Originally published at chudi.dev

I had a backlog of 47 SaaS ideas. Most would never get built.

The bottleneck wasn't creativity—it was execution. Each idea requires:

  • Market research
  • Problem validation
  • Architecture planning
  • Actual coding
  • Deployment
  • Billing integration

Weeks of work before you know if anyone will pay.

So I built a system to do it for me.

Introducing MicroSaaSBot

MicroSaaSBot is an AI system that takes a problem statement and outputs a deployed SaaS product.

Input: "Bookkeepers spend 10+ hours weekly transcribing bank statements to spreadsheets."

Output: StatementSync—a live product with user auth, PDF processing, and Stripe billing.

Time: One week.

This isn't hypothetical. StatementSync is live. Users are paying. The AI built it.

The Four Agents

MicroSaaSBot uses specialized agents for each development phase:

Each agent is optimized for its phase. The Researcher agent knows nothing about coding. The Developer agent doesn't care about market research. Specialization enables excellence.

The Workflow

Phase 1: Validation

You provide a problem statement:

"Bookkeepers spend 10+ hours weekly transcribing bank statements to spreadsheets."

The Researcher agent investigates:

  • Who has this problem? (Persona definition)
  • How severe is it? (Pain scoring)
  • Are they paying for solutions? (Willingness to pay)
  • What solutions exist? (Competitive landscape)

Output: Problem score (0-100).

Problems scoring below 60 get killed. No architecture, no coding, no wasted effort. This is the most important feature—stopping bad ideas early.

StatementSync scored 78/100:

  • Severity: 8/10 (daily pain)
  • Persona clarity: 9/10 (freelance bookkeepers)
  • Willingness to pay: 8/10 (already paying competitors)

Green light.

Phase 2: Architecture

The Architect agent designs the system:

Frontend: Next.js 15 (App Router)
Auth: Clerk
Database: Supabase PostgreSQL
Storage: Supabase Storage
Payments: Stripe
PDF Processing: unpdf
Hosting: Vercel
Enter fullscreen mode Exit fullscreen mode

Key decisions are surfaced for human approval:

  • "Using pattern-based extraction (faster, cheaper) vs LLM extraction (more flexible). Recommend pattern-based for cost control. Approve?"
  • "Flat-rate pricing vs per-file. Recommend flat-rate for user acquisition. Approve?"

You make the strategic calls. The agent handles implementation details.

Phase 3: Development

The Developer agent builds features:

  • User authentication flow
  • File upload handling
  • PDF parsing engine
  • Export generation (Excel, CSV)
  • Billing integration
  • Dashboard UI

Each feature includes:

  • Implementation code
  • Error handling
  • TypeScript types
  • Basic tests

Development happens in phases—each phase builds on the previous, with checkpoints for review.

Phase 4: Deployment

The Deployer agent ships:

  • Vercel project configuration
  • Supabase database setup
  • Stripe product/price creation
  • Webhook configuration
  • Environment variables
  • DNS and domain setup

Output: A live URL with working product.

What Humans Still Do

MicroSaaSBot handles the tedious 80%. Humans handle the meaningful 20%:

Strategic decisions:

  • Approve/reject validation scores
  • Choose between architectural options
  • Set pricing and positioning
  • Define brand/design preferences

Business operations:

  • Marketing and sales
  • Customer support
  • Financial management
  • Legal/compliance

Quality judgment:

  • Review generated code
  • Test edge cases
  • Approve deployment
  • Monitor production

Think of MicroSaaSBot as a senior engineer who executes your vision. You're still the founder. You make the decisions that matter.

The First Success

StatementSync is proof this works:

Phase Duration Output
Validation 2 days 78/100 score, approved
Architecture 1 day Tech stack, schema, approved
Development 3 days All features implemented
Deployment 1 day Live on Vercel with Stripe
Total 7 days Production SaaS

The product converts PDFs to spreadsheets. Users pay $19/month. It works.

Why This Matters

The traditional path:

  1. Have idea (Day 1)
  2. Research market (Week 1-2)
  3. Plan architecture (Week 2-3)
  4. Build MVP (Week 4-8)
  5. Deploy and iterate (Week 9+)
  6. Maybe get users (Month 3+)

The MicroSaaSBot path:

  1. Have idea (Day 1)
  2. Validated + deployed (Day 7)
  3. Get users (Week 2)

Speed matters because:

  • You learn faster
  • You fail cheaper
  • You iterate sooner
  • You validate with real users, not assumptions

The Bigger Picture

MicroSaaSBot isn't just a productivity tool. It's a different way of building.

Traditional: Humans do everything, AI assists with code completion.

AI-first: AI handles the workflow, humans make strategic decisions.

The shift is from "AI helps me code" to "AI builds the product, I run the business."

This is where product development is heading. MicroSaaSBot is my bet on that future.

What's Next

The roadmap:

  1. More product types - Expand beyond web SaaS to APIs, browser extensions, automation tools
  2. Iteration system - Handle post-launch features and improvements
  3. Analytics integration - Let the Researcher agent learn from production data
  4. Template library - Pre-validated patterns for common product types

StatementSync was the first. It won't be the last.

Related: MicroSaaSBot Multi-Agent Architecture | Portfolio: MicroSaaSBot

Top comments (0)