# 5/3/2022-11/3/2022 Operation 1、Discord community launched lotteries and other small daily activities. 2、Operation of official media platform, our Twitter launched NFT airdrop activity. 3、Metatoys project was included and reported by NEWSBTC as well as other famous websites. 4、Strengthen the cooperation with Kols and related projects, and will soon have the cooperation with the projects that reached the intention on the product side. 5、Expanded the scale of marketing, increase the advertising of various channels. 6、Optimized SEO, increased the cooperation and platform inclusion of a large number of external links and friend chains. 7、telegram community users reached 19000. 8、Discord community users reached 20,000. 9、Twitter followers reached 16000. Technology 1、Optimized the relevant code to achieve fast start. 2、optimized the api interface to improve access speed and reduce gas costs. 3、The wind control system continues to develop and iterate, which reduces the risk factor. 4、Optimized the external data reading process. 5、Used script code to automatically cast MetaToys NFT validation on OpenSea test network. 6、Wrote the script to rack auction MetaToys NFT on OpenSea test network. Plans for next week 1、New global community ambassadors open recruitment, there will be more rewards, easier way to participate. 2、To complete the MetaToys Game's prop NFT contract writing, and batch placement of NFT for verification. 3、External community AMA activity. 4、Strengthen the maintenance of relationship with users. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metatoys.gitbook.io/original/project-weekly/5-3-2022-11-3-2022.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.