Stylekick

Thanks @guygal! Here to answer any questions you may have about @Stylekick :)

Awesome team. Awesome product!

hey @karnsaroya there's been a lot of pushback in, say, music, against the idea that algorithms can pick better than people. how do you think this matches up in fashion? side note: my sister's a personal stylist :P

@eriktorenberg The idea is not to replace human intuition around style and fit, but to make finding what's right for you easier (solves the digging problem). Our iPhone app tries to predict the outfits/items you'd be interested in by taking into account your actions on previous outfits (i.e. double-tap on a specific item etc.). We're seeing success here, the propensity to like outfits/items goes up dramatically the more you use the app.

@guygal We're building a company that will power dynamic search and product recommendations across all apparel and footwear e-commerce properties. There are plenty of fashionistas on the team and we're all sold on pushing forward this generational shift for A&A e-commerce. Under the hood of our consumer products, you'll find tech that can dynamically reorganize product grids to reflect the tastes and preferences of each customer. For example, you and I both visit JCrew.com, and see the same static product grid for a search of 'black v-neck sweater'. Stylekick will create a distinct experience on the site for each of us, and every other JCrew customer based on our observed style and fit preferences. Our app helps us to refine our learnings across thousands of brands right from the start - something no one else in the personalization space can say.

The tagline for this seems to be misleading. The site makes me think DashHudson more than TrunkClub (that the tagline makes me think).

@miles_matthias Yea, I think the closest analogue is probably Thread.com. We're Pandora-style recommendations for fashion.