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Fast track the screening process by solving our little challenge: curl http://challenge.shopcurbside.com

Curbside is enabling a new way to shop, built for the era of instant mobile commerce. The Curbside app makes it easy to find, buy and pickup products at nearby stores. Curbside searches realtime local inventory across retailers and uses location-based technologies to alert stores when a customer is arriving for a pickup. Curbside helps consumers quickly get what they need and helps retailers better serve their increasingly mobile centric customers. The Curbside Merchant Console enables alerts to staff as customers arrive to pick up orders and also manages online order workflow.

Curbside’s investors and advisors include Index Ventures, Jerry Yang’s AME Cloud Ventures, Eric Schmidt’s Innovation Endeavors, O’Reilly AlphaTech Ventures, Gil Elbaz & David Waxman’s TenOneTen and Chicago Ventures.

Tech Stack: Clojure, Python, Javascript, iOS, Android, Elasticsearch

Problem space: mobile commerce, big data, search, machine learning, reverse engineering, distributed systems, location services, user experience.

http://www.shopcurbside.com/jobs • Palo Alto, Ca. • Relocation Available

Curbside is open to sponsoring existing H-1B’s, new E-3, O-1, and TN’s; however at this time we are not sponsoring new H-1B’s.



It takes an engineer to solve that challenge? Anyone with a bit of CS background and HTTP knowledge could do this.


That's their screening, not their interviewing. It's the equivalent of fizzbuzz.


Nice challenge!


wow still struggling to get this trough, any hint?


Where are you stuck? I looked at the beginning, and don't want to to give too much away. You'll probably benefit from https://stackoverflow.com/questions/356705/how-to-send-a-hea... if you are stuck really early on.


No that part was easy, it's the next that troubles me ahah


Wrote a recursive scraper, yet?


Do the "next" session IDs not work for anyone else?




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