I Built a Bot That Builds SaaS Products: Introducing MicroSaaSBot

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).

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

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.

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Related: MicroSaaSBot Multi-Agent Architecture | Portfolio: MicroSaaSBot