I run multiple $10K MRR companies on a $20/month tech stack (stevehanov.ca)

Article summary

The author shares their approach to running multiple $10,000 monthly recurring revenue (MRR) companies with a $20/month tech stack. They emphasize the importance of keeping costs low and using efficient technologies such as a single Virtual Private Server (VPS), Go programming language, and SQLite database. The author also discusses the use of local AI for long-running tasks and GitHub Copilot for coding. By utilizing these strategies, the author is able to maintain a lean and scalable startup.

Main themes

• Lean startup strategy
• Cost efficiency
• Tech stack optimization
• AI and automation
• Programming languages
• Database management

What commenters say

• Using Python as a backend language is sufficient and not necessarily less scalable than Go or Rust.
• SQLite is not suitable for production databases due to its limitations, and alternatives like Postgres are preferred.
• The simplicity of Go and its deployment process make it a better choice for small projects and startups.
• The use of local AI and GitHub Copilot can significantly reduce costs and improve development efficiency.
• The importance of distinguishing between 'easy' and 'simple' when evaluating the complexity of a tech stack.
• The author's approach to keeping infrastructure simple is effective for small-scale projects, but may not be suitable for larger applications.
• The choice of programming language and tech stack depends on the specific needs and goals of the project.
• Using a single VPS and SQLite can be a viable option for small projects, but may require additional considerations for larger applications.