> For the complete documentation index, see [llms.txt](https://10k-bruh.gitbook.io/lite-paper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://10k-bruh.gitbook.io/lite-paper/10k-bruh.md). # 10k Bruh 10K Bruh is a Free-to-Play & Move-to-Earn Game on the IOTEX Blockchain. By combining the depth of web3 with incentives, we aim to cater to an experience that allows users to generate value by investing time in improving their health in a decentralised Move-to-Earn economy.​ Why 10k? We want individuals to walk 10,000 steps daily since it equals around five miles per day for most people, or about 30 minutes of moderate activity per day, which meets the CDC's goal of at least 150 minutes of moderate exercise each week.​ ### Zero Entry Barrier​ The established Play-to-Earn & Move-to-Earn games have a very high barrier to entry, marginalising users who cannot afford to make hefty investments to experience the game's functionality. On the other hand, people who can become a part of the ecosystem must invest months or even years to get to breakeven.​ We plan to tackle this problem through a unique Play-to-Earn and Free-to-Play model. So users can start to monetise their health beginning from Day 1. Additionally, non-crypto natives can profit before learning how to utilize a Decentralized Wallet. So 10k Bruh will also be their first foray into the world of Web3.​ --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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://10k-bruh.gitbook.io/lite-paper/10k-bruh.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.