Carbon’s concept got our interest from day one. Our main challenge was to build something intuitive, educative and fun at the same time. The user-friendly initial questionnaire collects the daily habits data in light format. At the same time, our algorithm uses custom calculations and a pre-defined database to turn each user’s CO2 production into a score.

We developed a user-friendly questionnaire that collects data on users’ daily habits, while our algorithm uses custom calculations and a pre-defined database, to turn each user’s CO2 production into a weighted score.

Sharing the score played a big part on the app’s virality. We developed an easy and engaging score-sharing system that ensured the application to would increase in organic downloads.

Carbon contains a massive amount of complex data such as the North-American Electricity plants, for each zip code and, car emission rates. The challenge was to develop a system that would extract and calculate user’s carbon emissions per criteria efficiently. Our solution was a dynamic server database structure and query system to provide the user with fast calculations.