The digital world suffers from a profound linguistic disparity, particularly in Africa where a lack of local language content and traditional, Global North-led language technology models fail to meet community needs, often resulting in data extraction and inequitable solutions. In an 18-month research project, in collaboration with the Distributed AI Research Institute (DAIR), we highlight a powerful alternative: a growing grassroots movement of community-based language technology initiatives across Africa that adopt a bottoms-up approach, prioritizing local needs and incorporating indigenous philosophies.