# Business Model ## Uniquely own-to-earn Drifto is an entertaining racing game based on realistic 3D graphics, completely free for everyone to participate in, but it integrates the own-to-earn system in its metaverse. The track system in the game will be minted into small pieces at the beginning for investors to own. 36 tracks correspond to 6 different levels of challenge, the rarer the track, the more beautiful and appealing it will be, the longer and more difficult it will be to a race, more shortcuts, more turns, and of course profit earned from difficult tracks will be higher. The number of tracks is limited and we can change and upgrade regularly but after 8,888 track pieces are sold out, new investors who want to own them will have to buy them back on the Open Sea marketplace. ## The next level of play-to-earn We had seen the proliferation of NFTs across several blockchains in 2021, as well as the popularity of play-to-earn games like Axie Infinity, REVV, and others. Although there are various other new GameFi initiatives in the works, our team saw the potential for blockchain gaming on Ethereum.\ \ Unlike casual P2E games on the market, which work in the form of pay to win, the players who own a lot of strong NFTs will win and also take most of the prizes and profits from the game. This profit will have to be reinvested in the game so that players can keep their rank in the game and continue to make money. Drifto rewards players with good skills, mindsets, and luck also. Although they do not have strong NFTs compared to others, with the mindset and skills, they can still win the race and bring back the well-deserved reward. --- # 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://pocolandwhitepaper.gitbook.io/drifto/the-basics/business-model.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.