In Hangzhou, China, Xiao Ye is a recent computer science graduate with a low starting salary. Every day after finishing his construction project, he goes home to self-study new blockchain technologies. He accidentally saw the content reward activity from Lagrange at Binance Square—by sharing technical content such as off-chain computation, Coprocessor, and LA tokens, he could earn LA incentives. Xiao Ye decided to give it a try.
He delved deep into the working principles of the Lagrange Coprocessor and discovered that this system uses zk-STARK proofs to make off-chain tasks (like AI inference, data aggregation, and cross-chain verification) transparent and trustworthy. Xiao Ye wrote down his study notes and shared his understanding of VRF random task allocation, LA staking penalty mechanisms, governance voting, and more in a simple way. Soon, his articles received likes in the community, and he got several private messages from peers and friends seeking advice.
More importantly, by writing articles and participating in task staking, Xiao Ye not only earned LA rewards but also gained technical confidence, adding impressive experiences to his interviews and career development. He realized that Lagrange actually provides a platform for ordinary young people in China to gain new opportunities and increase their income through hard work and sharing.
