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I was initially confused by the demo.

Potential use cases

1. I have a perfect fitting shoe, I'd like to buy another perfect fitting shoe of a different brand.

2. I haven't found the perfect fitting shoe. I'd like to find one.

I assumed this would be solving problem #2, but it solves problem #1.

I thought I would tell it "I'm currently in shoe X, and it's the right length but chafes on the right side" or something of that nature, and it would tell me a better shoe.



This is actually pretty useful to a small but loyal group: runners. I know folks who run marathons and such, they are fanatical about the right fit and buy 3+ pairs when they find a good fit, because of rapid shoe model obsolescence/changes.

Perhaps with this small but profitable niche they can expand their technology into the mainstream for the likes of you and me.

I'm definitely going to suggest this site to my runner-friends and see what they think.


The founders are runners. Breck did the Boston Marathon in 2:29:36 this year... 73rd place overall.

Oh, and your running friends can already use this over at Running Warehouse, for example: http://www.runningwarehouse.com/descpageMRS-ASKNS3M.html


That sort of help-me-find should be pretty easily possible, it just hasn't been done yet. I'd assume it will come out eventually.

What this solves is that buying shoes online is a total crap-shoot unless you're buying something you've already tried on. It's even worse than buying pants, where waists can vary by several inches off their stated inches. http://www.esquire.com/blogs/mens-fashion/pants-size-chart-0...


The other tricky bit is that the perfect fitting shoe has to be a current model that they have already scanned. And hopefully it fit perfectly when it was bought, not when it was worn in.


Those are great features, but probably not part of their MVP. Maybe you should propose that to them as feedback?




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