Use Case

mttrly for Product Builders

You're a PM, analyst, or business person who built something real with AI tools. Now you need it live — without learning infrastructure.

🛠️ "I Pushed Updates. Deploy Them."

You're not a DevOps engineer. Just need your changes live. No jargon.

B
Bro Terminal
>_ Interactive session
📦
Request
"Deploy my updates"
→
🔄
Pipeline
Pull → install → migrate → build → restart
→
✅
Verify
Health check passed
→
📊
Monitor
Track for 3 min, catch slowdown
Before
Learn git, SSH, systemctl, database migrations... or hire someone. Weeks of learning or $100+/hour.
Without DevOps knowledge:

Option 1: Learn it yourself
- SSH basics (1 week)
- Linux commands (2 weeks)
- Deployment pipelines (2 weeks)
- Database migrations (1 week)
- Nginx/PM2/Docker (3 weeks)

Total: 2-3 months

Option 2: Hire DevOps
- $100-200/hour
- Or full-time $120k+/year
After
Just tell Bro what you want in plain English. No commands, no jargon, no panic.
With Deployment Bro:

You: "Deploy my updates"
Bro: [runs full pipeline]
     Done in 47 sec

You: "Why is it slow?"
Bro: Index rebuilding, will
     finish in 2 min

You: "ok"
Bro: ✅ Done. Faster now.

No commands learned.
No DevOps hired.

Sound familiar?

  • ✗Built with Cursor/Replit but stuck at "how do I deploy?"
  • ✗Hired a dev once, they disappeared, now what?
  • ✗Vercel/Railway work until they don't
  • ✗Don't have budget for a DevOps hire

The Solution

mttrly Deployment Bro speaks your language. "Deploy my app to production", "Why did it crash?", "Make it faster". No jargon, no terminals, just results.

The Product Builder Reality

You're not an engineer, but you shipped something real. Maybe it's an internal tool for your team, a prototype that became a product, or a side business you built with Cursor. The AI did the coding. But now you need it running 24/7 — and that's where your skills stop.

The Deployment Gap

Vibe coding tools are amazing for building. Cursor writes code. v0 generates UIs. Replit gives you instant previews. But production is a different game: servers, domains, SSL, databases, monitoring. This gap stops most product builders cold.

How Deployment Bro Bridges the Gap

Plain English control

You: "My app is showing errors" → Bro finds 23 errors in last 10 minutes, all TypeError at line 47, started after recent deploy → explains "broken code in /api/users.js" → offers rollback.

No jargon required

You: "Site is slow" → Bro checks: RAM 94%, memory leak detected → explains "your app is using too much memory, started 2 hours ago" → offers "restart now or investigate first?"

Proactive monitoring

Bro watches your app 24/7. If something looks wrong, it messages you before users notice.

One-phrase deploys

"I pushed updates to GitHub. Deploy them." That's it. Bro handles pull, build, restart, verify.

Real Scenario: The PM Who Shipped

Maya is a product manager who built an AI-powered meeting summarizer with Cursor. It started as a prototype for her team, then spread to the whole company. Now she needs it on a real server with uptime. With mttrly Deployment Bro, she just says "Deploy my app" and answers a few questions. When it crashes at 3am (memory leak from the AI library), Bro messages her: "Your app ran out of memory. I restarted it. Want me to increase the memory limit?" She types "Yes" and goes back to sleep.

"I'm a data analyst who built an internal dashboard with AI. mttrly is the only reason it's still running. I literally just talk to it when something goes wrong."

— David, Data Analyst turned Product Builder

Ready to ship?

Start with free watchdog. Upgrade to Deployment Bro when you need AI.