I run multiple $10K MRR companies on a $20/month tech stack

7 hours ago

The author emphasizes running lean businesses with minimal tech costs, advocating against reliance on expensive enterprise setups or venture capital.
Key strategies include using a cheap Virtual Private Server (VPS) instead of complex cloud services like AWS, with recommendations for providers like Linode or DigitalOcean at $5-$10/month.
Go is the preferred backend language for its performance, ease of deployment with statically compiled binaries, and low memory usage on constrained hardware.
For AI tasks, the author uses local hardware (e.g., an RTX 3090 GPU) with tools like Ollama, VLLM, and Transformer Lab to avoid API costs and enable batch processing.
OpenRouter is recommended for accessing cutting-edge AI models (e.g., Claude, GPT) with fallback routing to ensure reliability without managing multiple APIs.
GitHub Copilot in VS Code is favored over expensive AI IDEs, leveraging Microsoft's per-request pricing for cost-effective coding assistance.
SQLite is promoted as the primary database for startups, with Write-Ahead Logging (WAL) enabling high concurrency and performance without the need for external database servers.
The author shares custom tools like laconic for AI context management and smhanov/auth for user authentication to simplify development and maintain low overhead.
Overall, the approach prioritizes simplicity, cost efficiency, and independence from external funding, allowing for extended runway and focus on product-market fit.

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