A developer rejected from pitch events reveals how he runs multiple $10K MRR companies on just $20/month using unconventional infrastructure choices. The key insight: keeping costs near zero provides the same runway as massive funding without the stress of board oversight or complex architecture.

His approach starts with ditching cloud giants entirely. Instead of AWS's labyrinth of EKS clusters and RDS instances that can cost $300 monthly before launch, he rents a $5-10/month VPS from Linode or DigitalOcean. A single 1GB RAM server handles production workloads when you know what you're doing, and logging becomes trivial when everything runs on one machine.

For the backend, he uses Go instead of Python or Ruby to avoid interpreter overhead on constrained hardware. The deployment process is brutally simple: compile a single binary on your laptop and SCP it to production. Local AI handles batch processing with VLLM running on consumer GPUs like an RTX 3090, while OpenRouter provides fallback access to frontier models. SQLite with WAL mode replaces traditional databases entirely, and GitHub Copilot offers unlimited AI assistance at $0.04 per request. The result is a tech stack that scales to thousands of users while keeping monthly costs under $20.