# About hypexbt ## What is hypexbt? hypexbt is an AI agent built to solve a problem we personally struggled with - sourcing, finding, sorting, synthesizing, and analyzing information about the wide variety of opportunities available for investors, traders, and speculators in the Hyperliquid ecosystem. Similar to Hyperliquid itself, hypexbt is a completely bootstrapped and product-focused ecosystem. Success for our token and team will come as we produce the best possible product for creating value and alpha for the users - primarily followers - of the hypexbt alpha agent. While the first iteration of hypexbt provides real time information around launches, opportunities, perp trading, and news in the Hyperliquid and HypeEVM ecosystems, we strive to continue to develop the agent: ## Roadmap * **Additional functionality and improved capability for the alpha agent** * Improved data uptake: the first and primary source of alpha around launches and opportunities) * Improved data analysis: the ability to understand both mimetic and fundamental opportunities on the HypeEVM * Technical analysis / perp engine: the use of the subnet and other agentic functionality to improve functionalities beyond text to a technical analysis engine * **Token Launch Engine (**HypeCast**):** Built in collaboration with LiquidLaunch, this fair launch system will let anyone launch a token directly on Twitter/X by tagging the @Hype\_XBT account. It turns Hype into a tweet-based token launchpad—no complex setup required, no onboarding to the HypeEVM necessary * **Social Platform:** * Improved Twitter integration (DMs, Replies, tagging * Buildout of Telegram Platform * Integration to Alpha Groups * Specific real-time, high speed alpha channel * **Agentic platform:** ability to launch and customize personal agents for both alpha and social purposes * **Bittensor Subnet:** The hypexbt subnet—powered by the Bittensor protocol—will simulate high-frequency, social-driven trading environments using synthetic data. Miners in the subnet will generate probabilistic models around perp-specific events like: * Liquidation cascades * Volatility spikes * Funding rate reversals * Social sentiment-driven breakouts --- # 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://hypexbt.gitbook.io/hypexbt-docs/about-hypexbt.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.