Gallery Tracking Optimizer

Create an API that allows companies with an ecommerce to generate a customizable and optimizable product gallery.

About this Challenge

Most of the e-commerces have a product gallery on their website, where they show their products to the customers trying to sell them but showing how other buyers are using/consuming it. These galleries, most of the time, are a good complement for their websites, as the conversion rate is better than fake plain product images.

Despite that, most of the companies that offer these services (creating a gallery from the e-commerce catalogue) has a very weak and poor technology behind. So, we want to create an amazing API where the companies can create a gallery for their website and optimize it based on user interest.

Ideal for

Mid - Senior developers

Available stacks

Python · Java · Ruby · TypeScript · JavaScript

Required experience

Intermediate knowledge
  • Solve the challenge and show your potential
  • Defend your solution by explaining your code.
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  • Create an app and test your coding skills
  • Feedback from our expert Tech Mentors
  • A complete report of your skills - with the possibility of sharing it
  • Your own technical portfolio to use in job interviews


Mauro Gómez

Mauro Gómez is the CTO and Co-Founder of Rviewer. Software Engineer with more than 7 years of experience both as a developer and as a researcher in the field.

He has done research in prominent places such as the Barcelona Supercomputing Center, and worked in leading companies such as Adsmurai, as Team Lead and Big Data Developer, or Sabentis, evolving its SaaS platform.

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