Your MVP has traction.Will it survive 10x growth?
Before you scale marketing, know if your code can handle the traffic. RAAV finds the bottlenecks that will break at 100 users, 1000 users, or 10k users.
The Scaling Crisis Every Founder Fears
Your MVP works. You're getting users. You're about to scale marketing. Then...
Week 1: Product Hunt Launch
500 signups in 24 hours. Your app is slow but working. Users are patient.
Week 2: Growth Spike
2,000 active users. Dashboard takes 15 seconds to load. Support tickets flooding in.
Week 3: The Breaking Point
App crashes at 50 concurrent users. Database timeouts. Users churning faster than you can acquire them.
The Cost:
- • $15k spent on Product Hunt ads — wasted
- • 73% of users churned due to performance
- • 2 months spent rewriting instead of growing
- • Lost momentum while competitors caught up
This happens to 67% of founders who scale before fixing technical debt.
What Breaks When You Scale?
RAAV analyzes your codebase and predicts what will fail at 10x, 100x, and 1000x growth.
Database Bottlenecks
N+1 Query Hell
One endpoint making 500+ database queries per request
Missing Indexes
Slow queries that work at 100 users, timeout at 1000
Table Scans
Full table scans on tables that will grow to millions of rows
Performance Killers
Synchronous API Calls
Blocking operations that should be async/background jobs
Missing Caching
Recalculating expensive operations on every request
Memory Leaks
Objects that never get garbage collected as load increases
Concurrency Issues
Race Conditions
Works at 1 user/second, breaks at 50 concurrent requests
Shared State Problems
Global variables that cause conflicts under load
Connection Pool Limits
Database/API connections maxed out at scale
Infrastructure Limits
Single Point of Failure
One server handling everything. No redundancy.
File System Dependencies
Local file storage that won't work in distributed systems
Session State Issues
Server-side sessions that break with load balancing
Your Scaling Readiness Report
RAAV gives you a clear picture of what happens at each growth stage.
100 → 1,000 Users
What breaks first
Example findings:
- • Dashboard API will timeout (currently 2.3s, will hit 30s)
- • User search needs database index (table scan on 1k rows)
- • Email sending should move to background job
1,000 → 10,000 Users
Infrastructure limits
Example findings:
- • Need Redis caching for homepage (recalculates on every load)
- • Database connection pool too small (max 10 connections)
- • API rate limiting needed (currently unlimited)
10,000 → 100,000 Users
Architecture changes needed
Example findings:
- • Move to microservices (monolith will break)
- • Implement CDN for static assets
- • Database sharding required for user table
Know exactly what to fix — and when.
RAAV prioritizes fixes by impact and urgency. Fix what matters at your current scale, plan for the next.
Get Your Scaling Report — FreeMore Ways RAAV Can Help
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