Why I quit my data job to source from China

I spent years as a data engineer — building pipelines, cleaning messy numbers, and learning that almost every bad decision I saw came from the same place: people guessing when they could have measured.

Then I started helping friends buy products from China. The pattern was painfully familiar. They'd find a supplier on Alibaba, get one quote, and cross their fingers. Some got lucky. Others got swapped materials, blown deadlines, or a "manufacturer" that turned out to be a trading company with a markup hidden inside.

The frustrating part? The information to avoid all of that already existed — in price ranges, in factory records, in inspection photos. Nobody was putting it in front of the buyer. Most agents preferred it that way. An opaque process is an easy place to hide a margin.

So I quit and moved closer to the factories. Now I do this full time: I find the right factory, compare real market prices across multiple quotes, inspect every order with photos and video, and ship straight to your warehouse. The difference is that I show you the data behind every decision — what's cheap because it's a trap, and what's expensive for a real reason.

You pay the factory directly. You pay me only after your goods pass the agreed QC. My risk, not yours. That's the whole model, and I'm happy to explain every line of it.