Turning gaming PCs into a distributed computing network
$5,000+ Raised20 Machines Connected~25% Efficiency Gain Through Optimization
Early mining rig hardware and components.
When I was 14, I became fascinated by cryptocurrency mining.
Most people saw gaming PCs as a way to play games. I saw them as underutilized computing power.
I started by building and optimizing my own mining rigs, learning everything from hardware assembly and cooling to overclocking, undervolting, profitability modeling, and system monitoring. Through aggressive tuning, I was able to improve mining efficiency by roughly 25%, extracting significantly more performance from the same hardware while reducing power consumption.
As I learned more, I realized many of my friends already owned powerful gaming PCs that sat idle for most of the day.
Rather than simply building more rigs myself, I recruited friends to contribute spare computing power and built a small distributed mining operation spanning roughly 20 machines. I handled setup, optimization, monitoring, troubleshooting, and operations while continuously improving performance across the network.
The original mining rig setup.
Live mining terminal with hashrate, power, and efficiency data.
During the GPU shortage, I also built bots and monitoring tools to track inventory and pricing, helping source hardware that was nearly impossible to purchase at retail.
What started as curiosity quickly became my first real lesson in scaling systems. I learned how to coordinate people, optimize incentives, manage hardware, and think about operational efficiency.
When the war in Ukraine began, I redirected the project's proceeds toward organizations supporting Ukrainian refugees and humanitarian relief efforts.
By the end of the project, the operation had raised over $5,000 for charity.
Looking back, this was the first time I experienced the process of identifying an overlooked opportunity, building systems around it, coordinating contributors, and scaling something beyond myself. Many of the lessons I learned from that project continue to influence how I approach startups today.
Key takeaways
What the project taught me
Built and optimized GPU mining infrastructure
Improved mining efficiency by ~25% through hardware tuning
Coordinated a distributed network of 20 contributor machines
Built automation tools to source hardware during GPU shortages
Raised $5,000+ for Ukrainian refugee relief
First experience building and operating a scalable system
