Austin Tool Company / Austin Data Solutions

Alex Kilka was working as a management consultant at Accenture when he heard an intriguing story that would change his trajectory. A colleague mentioned finding Beats headphones selling for $300 on Amazon but only $250 on eBay. The entrepreneur simply left his Amazon listing active, bought from eBay whenever an order came in, and pocketed the $50 difference repeatedly. "I thought, wow, this is interesting. I didn't realize such arbitrage opportunities existed between these two marketplaces," Alex recalls. The idea struck him as a clever way to generate income without the constant travel and stress of consulting.

Alex and a partner decided to automate the process with code. They built a scraping system that crawled Amazon's top-selling products by category, then looked up matches on eBay to find price discrepancies. The initial parameters were simple: only pursue items with at least a $5 price spread, focus on electronics initially. They used machine learning to score product similarity based on titles and images, filtering out obvious mismatches. A real-time monitoring script adjusted inventory counts and prices as items sold on both platforms. However, they quickly learned that matching products across marketplaces was harder than expected—SKUs, refurbished variants, color differences, and missing boxes created constant friction. Seller reliability on eBay and customer behavior on Amazon (returns outside the eBay return window) added complexity.

Alex didn't need to find customers—he was the customer, executing the arbitrage himself. Over three years, he discovered that power tools were the "golden goose." Milwaukee power tools had excellent model numbers for matching, a deep pool of quality eBay sellers, and buyers who were power tool veterans rather than first-time buyers. A typical power tool would sell for $240-$250 on Amazon but cost $180-$210 on eBay—margins of $30-$70 per unit. He created a branded company called Austin Tool Company specifically for this category. He also sold DVD/cassette combo players ($200 on Amazon, $120-$150 on eBay) and other electronics.

Volume proved the model worked. Over three years, Alex sold at least 5,000 power tools and north of 5,000 additional units across all categories, generating between $4,000 and $10,000 in gross profit per month depending on seasonality. Total dollar volume exceeded $1 million. One clever tactic: he made all customer service reps female in email correspondence because "people tend to be nicer to them." What didn't work was fighting Amazon's system changes. When Amazon shifted its return policy to automatically issue return labels to a default address, returns would arrive back to Alex after the eBay return window had closed—creating a financial trap. Rather than navigate the added complexity of specifying return addresses per SKU or storing inventory, he decided to shut it down. "I don't have anywhere to store it," he explained, and his consulting business was growing anyway.

Alex now runs Austin Data Solutions, a five-person consultancy in downtown Austin solving business problems with data analysis, NLP, and computer vision. They work with clients like coffee companies on logistics optimization. The arbitrage business proved something important to him: small, calculated risks and consistent execution can generate real revenue without venture capital. "Don't let fear hold you back," he advises. "Take calculated risks. It'll work out."