Scaling a side project to 10k users

November 4, 2025

What started as a weekend idea slowly turned into a product used by thousands. Here's what I learned along the way.

The first version was embarrassingly simple — a single page app with a JSON file as a database. I deployed it on a free tier and shared it with a few friends. That was supposed to be the end of it.

But then it got picked up on Twitter. And suddenly, my "weekend project" had real users with real expectations.

The First 100 Users

The first hundred users were easy. They were patient, forgiving, and mostly just curious. They sent feedback, reported bugs, and stuck around even when things broke.

At this stage, I made one critical decision: I listened more than I built.

Instead of adding features I thought were cool, I focused on what users actually needed. A simpler onboarding. Faster load times. Better error messages. Small things that made a big difference.

// My first "analytics" — just logging to console
window.addEventListener('error', (e) => {
  console.log('User hit an error:', e.message);
  // Later replaced with proper error tracking
});

The 1,000 User Problem

At around 1,000 users, everything started to break. The JSON file approach wasn't cutting it anymore. Response times climbed. The free tier hit its limits.

I had to make real infrastructure decisions:

  • Database: Moved from JSON to PostgreSQL
  • Hosting: Upgraded to a paid tier with auto-scaling
  • Caching: Added Redis for frequently accessed data
  • Monitoring: Set up alerts for downtime and slow queries

The hardest part wasn't the technical migration — it was doing it without disrupting existing users. I learned to deploy changes incrementally, always with a rollback plan.

What 10,000 Users Taught Me

Reaching 10k users changed my perspective entirely. At this scale, you stop thinking about features and start thinking about systems.

  • Reliability matters more than novelty. Users don't care about your new feature if the app is down.
  • Performance is a feature. Every 100ms of latency costs you engagement.
  • Documentation saves time. When others join, they need to understand your decisions.
  • Automation is essential. Manual deployments don't scale. CI/CD pipelines do.

The Unexpected Challenges

Some things surprised me:

  • Support requests multiply fast. Even a 1% issue rate means 100 tickets at 10k users.
  • Edge cases become common cases. That bug you ignored? Someone will find it daily.
  • People will use your product in ways you never imagined. Build for flexibility.

Looking Back

Scaling from 0 to 10k wasn't about being clever — it was about being consistent. Showing up every day, fixing bugs, listening to feedback, and making incremental improvements.

The weekend project is now a real product. And the biggest lesson? Start simple, but build foundations that can grow.

If you're working on something small right now, don't over-engineer it — but don't ignore the future either. The best time to think about scale is before you need it.

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