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- 🎉 Hey Gate Square friends! Non-stop perks and endless excitement—our hottest posting reward events are ongoing now! The more you post, the more you win. Don’t miss your exclusive goodies! 🚀
1️⃣ #ETH Hits 4800# | Market Analysis & Prediction: Boldly share your ETH predictions to showcase your insights! 10 lucky users will split a 0.1 ETH prize!
Details 👉 https://www.gate.com/post/status/12322612
2️⃣ #Creator Campaign Phase 2# |ZKWASM Topic: Share original content about ZKWASM or its trading activity on X or Gate Square to win a share of 4,000 ZKWASM!
Details 👉 https://www.gate.com/post/st - 📢 Gate Square #Creator Campaign Phase 2# is officially live!
Join the ZKWASM event series, share your insights, and win a share of 4,000 $ZKWASM!
As a pioneer in zk-based public chains, ZKWASM is now being prominently promoted on the Gate platform!
Three major campaigns are launching simultaneously: Launchpool subscription, CandyDrop airdrop, and Alpha exclusive trading — don’t miss out!
🎨 Campaign 1: Post on Gate Square and win content rewards
📅 Time: July 25, 22:00 – July 29, 22:00 (UTC+8)
📌 How to participate:
Post original content (at least 100 words) on Gate Square related to
The StaFi protocol is entering the Staking AI Finance phase and has launched two AI Agents.
ChainCatcher news, the StaFi protocol is transitioning from Staking Finance to a new phase of Staking AI Finance, integrating AI technology into Liquid Staking as a Service (LSaaS) infrastructure. The protocol has developed an AI code generation tool based on the validator selection mechanism and Eliza AI Agent, allowing developers to quickly deploy liquid staking tokens (LST) within the LSaaS framework using natural language instructions. The StaFi protocol will soon launch two AI Agents: Staking Code Agent and Staking Assistant Agent. The Staking Code Agent integrates the StaFi LSaaS framework with large language models to achieve automatic code generation, streamline the development process, and enhance LST deployment efficiency. The Staking Assistant Agent optimizes the staking experience through natural language processing and large language models, simplifying staking operations and optimizing yield strategies, allowing users to achieve high returns with simple commands.