Multilingual Next.js Platform for Data-Driven Social Change

WLL encourages the integration of the UN's Sustainable Development Goals into education, empowering children to play a role in creating a more sustainable future. Through initiatives focusing on equality and climate change, students worldwide are invited to illustrate their selected data point for a goal and share it on the Fact-ivist gallery.

Teaming up with MakerChange, our goal was to create a multilingual, interactive platform that motivates students to participate, offers educators valuable resources, and fosters meaningful interaction with statistical data.

The main technical challenge with this project was choosing a CMS that could seamlessly manage thousands of submissions, facilitate easy review and publishing workflows for non-technical editors, and support robust multi-language capabilities.

After evaluating various headless CMS options, I proposed using DatoCMS with Next.js which provided the scalability and flexibility required to manage our substantial volume of submissions effectively, while ensuring fast and efficient content retrieval and filtering capabilities within the web application. To speed up the development process, I used Webflow DevLink to visually create production-ready React components directly within the Webflow environment. This allowed me to develop a high-performance, multilingual Next.js web application in a remarkably short timeframe of under a month.