# 1 Introduction Spotting the next big crypto project can be a daunting task. With thousands of projects to choose from, it's essential to conduct thorough research into a project's fundamentals, including its technology, team, idea, progress, and other important factors. Great projects solve real problems with innovative technologies and are run by capable and dedicated teams. However, conducting thorough research takes time, making it unlikely that you'll find the best projects on your own. Narrowing down the search by market cap also isn't helpful, as highly ranked coins are already too expensive. Getting recommendations from publications or influencers is another approach, but it can be difficult to trust these centralized entities, as they often promote tokens they plan to sell. Our solution is to create an open, decentralized, and secure knowledge-sharing platform. Imagine a community where thousands of analysts rate projects and share their research, making it easy to spot the best projects among thousands. You wouldn't have to trust a single source, as highly rated projects are reviewed by many analysts. Cyrator is a decentralized crypto research community where analysts get rewarded for sharing their insights. Analysts can rate projects on the most important categories and include a review for each rating. The more a review is upvoted, the more the analyst is rewarded with CURE tokens. Users can browse the highest-rated projects and read through their reviews. They can also follow top analysts, chat with community members, or become analysts themselves. Accessing ratings on the platform is completely free. Cyrator will use a sustainable token model to attract skilled analysts and support its token value with highly monetizable products, including a launchpad, private project reviews, premium listings and more. --- # 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://docs.crowd.news/whitepaper/1-introduction.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.