# wShiba - A Pure Yield Farm Meme Token ### ### :feet:The role of wShiba is as a yield farming token that generating returns from long-term holdings, while building a Zoopad (launchpad) for meme projects. A simple & transparent & effective project. {% hint style="info" %} The beginners just need to understand simply that yield farming allows you to earn yield by staking your assets into a platform. {% endhint %} ### In the context that the the whole world still struggles against one of the most serious health crises in human history, spreading rapidly of Covid-19 pandemic, we witnessed many miserable stories. But when seeing from a different perspective, there are many touching stories of those who have gold hearts, which ignites the rays of light from warm humanitarian activities. Nowadays, the more society develop and innovate, the more people have richer lives, they tend to give more meaning to their lives through community charity activities. We can not ignore the explosive development of Crypto & Blockchain will be closely associated with human activities. So why not combine the great power of Crypto community to charity activities to put efficiency to maximum. wShiba project aims to create an iconic, entertaining environment with a noble mission - to build a better world through charitable activities. The project will use 70% of profits from Zoopad for charity. In the future, when wShiba has become popular such as listing CMC, CEX, CG, having big community... we will form connection with celebrities, communication channels to organize charity fundraisers on a larger scale. ![](/files/-Maukj-y00AtrEiTSWOm) --- # 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://wshibatoken.gitbook.io/wshiba/master.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.