> For the complete documentation index, see [llms.txt](https://docs.storychain.ai/storychain/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.storychain.ai/storychain/welcome/awards-and-recognition.md). # Awards and Recognition StoryChain has been recognized for its innovative approach, securing several accolades from prestigious hackathons, including: * 2nd Best AI App at BNB Chain Hackvolution * Best AI Project at Chainlink Hackathon Spring 2023 * AWS (Amazon Web Services) Top Projects at Chainlink Hackathon Spring 2023 * Most Creative App at Fantom Hackathon * 2nd Best Covalent App at CovalentHQ A significant milestone in StoryChain's journey of recognition was its acceptance into the prestigious BNB MVB VII Accelerator Program. Selected among 13 projects from over 700 contenders, StoryChain's inclusion in this program marked a pivotal moment, showcasing its potential to impact the blockchain and crypto space significantly. The MVB Accelerator Program, known for identifying and supporting projects with groundbreaking potential, provided StoryChain with a platform to further its mission, refine its technology, and expand its reach within the global crypto community. --- # 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, and the optional `goal` query parameter: ``` GET https://docs.storychain.ai/storychain/welcome/awards-and-recognition.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.