What if the next big challenger to Google wasn’t a billion-dollar tech giant, but a guy coding in his laundry room? Meet Ryan Pearce, an ambitious programmer who’s taking on one of the world’s most powerful companies—armed with little more than two home computers and a dream.

Ryan Pearce is no rookie. With a background in enterprise software and game development, he’s decided to build his own search engines—Searcha Page and its privacy-first alter-ego, Seek Ninja—powered not by a massive data center, but by hardware stacked on stools in his utility room. If that’s not the spirit of Silicon Valley in the suburbs, what is?

According to Fast Company, Pearce’s engines have already indexed more than 2 billion database entries. Sure, that’s just a tiny sliver of Google’s mind-boggling 400 billion, but for a one-man show, it’s a jaw-dropping feat. Pearce’s next goal? Double that number in just six months. And get this—the whole operation is running on a used 32-core AMD EPYC 7532 CPU, originally launched in 2020 as a high-performance workstation chip. Pearce snagged his for under $200, sidestepping the usual Raspberry Pi setups in favor of raw power—though he admits he could’ve gone for an even beefier chip if it weren’t for the risk of turning his bedroom into a sauna.

That heat problem? Solved with pure DIY grit. Pearce drilled holes in his walls and strung extension cords and network cables through his house, finally relocating the whole setup from his bedroom to the laundry room. With a vented door and some creative airflow management, he’s keeping things just cool enough for his servers to crunch away.

But hardware is just the start. Pearce’s true secret sauce is how he’s using AI. While most new search engines lean hard on giant language models to summarize results, Pearce is going a different route. He’s using machine learning to boost keyword expansion and context recognition—delivering smarter, sharper results without needing Google-scale resources. Over 150,000 lines of code, and countless iterations on more than half a million lines, have whittled his system into a lean, efficient, AI-generated newscast about search innovation.

Pearce’s modular design means the search engines run smoothly, without the usual AI chaos. Now, he’s considering moving his laundry-powered empire to a mini data center, but he’s keeping it local—cloud services, after all, just don’t jibe with his hands-on approach. For now, it’s all about small-scale ads and big, bold ambition. If you ever wondered what an AI generated newscast about search engines built on pure passion and laundry-room ingenuity looks like, Ryan Pearce’s story is it.