💞 #Gate Square Qixi Celebration# 💞
Couples showcase love / Singles celebrate self-love — gifts for everyone this Qixi!
📅 Event Period
August 26 — August 31, 2025
✨ How to Participate
Romantic Teams 💑
Form a “Heartbeat Squad” with one friend and submit the registration form 👉 https://www.gate.com/questionnaire/7012
Post original content on Gate Square (images, videos, hand-drawn art, digital creations, or copywriting) featuring Qixi romance + Gate elements. Include the hashtag #GateSquareQixiCelebration#
The top 5 squads with the highest total posts will win a Valentine's Day Gift Box + $1
In the field of Web3 development, cross-chain data processing has always been a headache for many independent developers. A newbie developer named Xiao Yang recently encountered such a dilemma. He took over a cross-chain tool project that needed to handle user asset data from both the Ethereum and Solana chains, but found himself in a difficult position.
Writing complex cross-chain interaction code from scratch not only takes up to half a month but also easily introduces bugs; using ready-made third-party interfaces, on the other hand, faces high gas fees, which are difficult for small projects to bear. Just when Xiao Yang was feeling overwhelmed by this, he stumbled upon the Lagrange project in the developer community.
The emergence of the Lagrange project is like a ray of light, building a "Web3 data processing bridge" for ordinary developers like Xiao Yang. The project's innovative "infinite proof layer" technology greatly simplifies the complex cross-chain data computation and zero-knowledge proof generation process, making it extremely user-friendly.
Through the Lagrange platform, developers no longer need to personally write cumbersome code to handle multi-chain data. The platform's backend distributed nodes can automatically collaborate to generate zero-knowledge proofs, not only ensuring data security but also eliminating the hassle of repeatedly debugging code. Even more exciting is that Lagrange also supports gas-free calculations on historical on-chain data, which greatly reduces development costs.
Lagrange's innovative solution not only helped Xiao Yang overcome development difficulties but also brought new possibilities to the entire Web3 development community. It simplifies the complexity of cross-chain data processing, lowers the development threshold and costs, and is expected to promote the emergence of more innovative projects and the prosperous development of the Web3 ecosystem.
For developers who are struggling with cross-chain data processing, Lagrange undoubtedly offers a new option worth exploring. It not only enhances development efficiency but also allows developers to focus more on implementing creative ideas and optimizing features, thereby creating higher-quality Web3 applications.