in Engineering

Shopsy is a shopping engine that puts consumer goods in context. We use your Style DNA to deliver head-to-toe custom outfit recommendations that you can search, filter, lock in items, dynamically REMIX by price or color in seconds, and of course buy and share. www.shopsy.com

Shopsy is about 3 things: 1) making shopping FUN, 2) making shopping FAST, 3) making shopping RELEVANT. Fifty-seven percent of all online purchases begin at a search engine and it is up to you to filter through the trillions of single items to find things that go with other things — doesn't this seem antiquated and flawed? Shopsy creates efficiencies that will streamline purchases by building a retail graph that is mapped against our users Style DNA to provide greater context & relevance as the system scales. We are launching in women's fashion, and will roll out in other verticals because our tech applies to any consumer goods that can be subjectively grouped into a meaningful set. Shopsy allows you to buy what you need/want more quickly while discovering new products/retailers, so that you can get back to living your life.

Lisa is a serial entrepreneur with over 15 years helping B2B/B2C companies from start-ups to F500 (Coca-Cola, Nexxus, P&G, Jeanne Jarvaise, etc) maximize their website conversions via multi-channel brand strategy, site development, and extension. Keith has over 26 years in engineering and development, eleven of which he served as VP of Search Technology at Ask.com — the original semantic search engine. Steve Mu has over 11 years working in Silicon Valley as a UX designer and front end developer for numerous startups, including Reflect.com, where he was an employee on Lisa's team.

Virtual team. Work in your jammies, just pants up for Skype calls. ;0)