DATAHEDGE
82 posts

DATAHEDGE
@DATAHEDGEAI
24M+ app distribution foundation. Building consent-based AI data infrastructure for the LLM era. $DATA CA:AyLn7YdHqh3pGSNC1YrdEtEdSCVjG7BxQedxBvkTpump

Official Announcement Data Hedge ($DATA) has achieved its first real business milestone just two days after launch. We have agreed to a two-way data sharing partnership with eKYSS / MyPool, an IT company operating language-learning and data-driven education services. ekyss.co.kr mypool.kr This marks our first customer acquisition and an important validation of the Data Hedge model. Data Hedge was built to turn user-consented AI and interaction data into useful, structured data infrastructure for the AI era. Now, real companies are beginning to recognize that value. This is only the beginning. More details will be shared soon.





🎉HTE X DATA HEDGE Strategic Partnership & AI Data Ecosystem Expansion🎉 Hello, HTE Community Members. 📣 As a powerful puzzle piece to complete the ‘AI Data Economy’ vision that HTE envisions, we are thrilled to share that we have entered into a strategic partnership with ‘DATA HEDGE,’ an innovative AI usage data layer platform for the LLM era. DATA HEDGE is a next-generation AI data platform that allows users to voluntarily archive their conversation histories from LLM services such as ChatGPT, Claude, and Gemini, and transform them into secure data assets. This partnership marks a significant milestone that will elevate the HTE ecosystem to the next level, and both companies will cooperate closely in the following key areas: 📌 Key Collaboration & Synergy Points ✔️ Building a Secure AI Data Refinement Infrastructure: DATA HEDGE possesses powerful anonymization technology that automatically detects and redacts sensitive personal information, such as emails, phone numbers, and wallet addresses. Various user behavioral data generated within the HTE ecosystem will pass through DATA HEDGE's refinement pipeline to be reborn as high-quality 'AI-ready datasets' while ensuring privacy is thoroughly protected. ✔️ Assetization of High-Value Data: Real human-AI interaction data, including users' prompt patterns, AI workflow data, and response preferences, is a high-value asset essential for training next-generation AI models. Both companies will establish a system where the value of this data is transparently and fairly recognized. ✔️ Expanding Ecosystem & Token Utility: By combining HTE's ecosystem with DATA HEDGE's point system—which focuses entirely on the intrinsic value of data contribution—we plan to design a virtuous cycle of value that allows users from both platforms to engage organically and expands the use cases for the HTE token. 🔥 This partnership signifies HTE's evolution beyond a simple reward-based platform into an 'economic powerhouse where user behavior and participation become core assets of the massive AI era.' Based on strict privacy protection, we will respect user rights and continue to realize a practical data economy. We ask for your continued interest and support for the future that HTE will build together with DATA HEDGE. Thank you. 🌐 Official Website: datahedge.app 📱 Official Twitter (X): x.com/datahedgeai Caution: There are currently no DEX or P2P exchanges officially selling HTE tokens. Please beware of scams!

Hello @elonmusk First, this is not a clickbait post or an attention-seeking message. If possible, we want to provide @Grok with 1 billion pieces of user-based AI data and build an open-source autonomous AI agent that can collect data independently while helping develop next-generation AGI-like autonomous AI systems. I do not know if this post will reach you, but we have already succeeded in developing a Grok-based engine for collecting high-quality LLM and AI user data. Users are already using it through a Web3 reward model. This may be one of the first real products in the world built around Grok for AI data collection. If this post catches your attention, we would like to open-source this transparently, work with many developers, and experiment with 1 billion pieces of user-based AI data to explore what can be built for the future of AI.














