Built With MongoDB: Price.com

RJ Jain founded Price.com after realizing the potential savings and environmental benefits of buying used items, inspired by his own experience of finding a cheaper, second-hand version of a newly purchased couch. Price.com is a platform designed to help users save money and time by comparing prices across different product conditions, utilizing coupons, price alerts, and a cash-back rewards program. The platform has grown rapidly, listing over one billion products through 2,000 retail partnerships, and experiencing a 30% monthly user growth. Backed by notable investors such as Founders Fund and Social Capital, Price.com employs a proprietary algorithm and deep learning models to enable quick product matching and discovery, even allowing users to find the best purchase location by simply taking a picture of the desired product. Vasco Morais, the Director of Engineering, discusses the platform's backend, emphasizing the use of MongoDB for its scalability, ease of creating indices, and support for geospatial queries. Despite being new to MongoDB, Morais found the transition smooth and noted the database's efficiency compared to relational databases, highlighting its role in reducing development time.