Countr is a NYC-based startup building a social shopping app that combines product discovery, peer recommendations, and multi-retailer checkout in one place. Founder Manon Roux describes how a machine learning-based feed personalizes product discovery across 160+ retailers, letting users shop with friends, earn money for content, and complete purchases without leaving the app. The platform targets younger consumers who rely on social media for product discovery and aims to close the gap between inspiration and checkout.

6m read timeFrom netguru.com
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Product discovery is a crucial element of Countr. How does it work?Does the algorithm also learn from user actions, such as things they like, users they follow, and products they shop?I bet it hasn’t been easy to develop the recommendation system?Was your application inspired by any other apps?What is the business model for the application? How do you plan to profit from it?What is the plan for attracting new users to sign up for the platform?What were the biggest milestones so far

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