# Why HyperEVM We chose **HyperEVM / Hyperliquid** because Hyperliquid is one of the strongest real-usage stories in on-chain derivatives (perp DEX). It consistently attracts active traders and meaningful fee generation — exactly the kind of momentum we want to align with. ## Why Hyperliquid for Baddie Dolls * **Perp DEX leadership & fee engine.** Hyperliquid is widely recognized for strong perpetuals volume and fee generation compared to other on-chain venues. That traction signals real product–market fit and a durable user base. * **Clear narrative & growth.** Perpetuals remain one of the most active areas in crypto markets. Building our NFT brand where traders already congregate gives us a powerful funnel for onboarding and retention. * **EVM compatibility (HyperEVM).** We get the familiarity of EVM (contracts, tooling, libraries) while tapping into Hyperliquid’s audience and momentum. * **Perfect fit for our mechanics.** Referrals, staking, XP and leaderboard rewards align with an ecosystem that’s already performance-driven and social. #### **We’re building on HyperEVM with one goal: becoming a top-3 all-time collection on Hyperliquid and onboarding new users from other chains.** ### What makes Baddie Dolls different * A **fresh, recognizable character style** the space hasn’t seen * Designed **from scratch**; real materials & accessories, realistic details * **Culture-forward**: influenced by fashion, social, and luxury worlds * **Utility-driven**: staking, referrals, leaderboard, and rewards **Ambition:** launch the cult into the masses and make “Baddie Dolls” synonymous with Hyperliquid. --- # 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://baddies.gitbook.io/baddies/baddie-dolls/why-hyperevm.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.