$HAN 5.85m dyor 0x3746a5ebca295dee695dd1bcba50a8626df3099c okx wallet: A decentralized platform specifically designed to build high-quality motion training data networks for humanoid robots and Physical AI. In simple terms, it is building a "Hugging Face for robot training data + a decentralized verification factory." It allows ordinary people to contribute robot "learning materials": Text-to-motion: users describe an action in natural language, and the AI model quickly generates joint angle sequences Real human demonstration data: users record videos of themselves performing everyday tasks Automatic physical verification: the self-developed Hydra World Foundation Model runs the data in a physics simulator to check if it is "physically real and feasible." After verification, the data is stored with on-chain proof. Enterprises, labs, and research institutions can pay to license this data to train their robots Economic incentives: contributors are rewarded with the native token HAN This addresses the biggest bottleneck for humanoid robots today: high-quality, diverse, and physically realistic training data. Traditional collection methods are extremely expensive, and the data is often not physically realistic, closed off, and lacks diversity Humanoid Network uses crowdsourcing + AI automated quality inspection + on-chain proof to drastically lower the barrier, allowing anyone globally to participate while ensuring data quality is verifiable and traceable. Tokens are also used as rewards Current App data: approximately 46,893 foundation episodes, over 123,000 registered users, covering 157+ countries, with over 99.9 million training files uploaded The above content is entirely my personal understanding and analysis (dyor). If you have other opinions, feel free to discuss them in the comments
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$HAN 5.85m dyor 0x3746a5ebca295dee695dd1bcba50a8626df3099c okx wallet: A decentralized platform specifically designed to build high-quality motion training data networks for humanoid robots and Physical AI. In simple terms, it is building a "Hugging Face for robot training data + a decentralized verification factory." It allows ordinary people to contribute robot "learning materials": Text-to-motion: users describe an action in natural language, and the AI model quickly generates joint angle sequences Real human demonstration data: users record videos of themselves performing everyday tasks Automatic physical verification: the self-developed Hydra World Foundation Model runs the data in a physics simulator to check if it is "physically real and feasible." After verification, the data is stored with on-chain proof. Enterprises, labs, and research institutions can pay to license this data to train their robots Economic incentives: contributors are rewarded with the native token HAN This addresses the biggest bottleneck for humanoid robots today: high-quality, diverse, and physically realistic training data. Traditional collection methods are extremely expensive, and the data is often not physically realistic, closed off, and lacks diversity Humanoid Network uses crowdsourcing + AI automated quality inspection + on-chain proof to drastically lower the barrier, allowing anyone globally to participate while ensuring data quality is verifiable and traceable. Tokens are also used as rewards Current App data: approximately 46,893 foundation episodes, over 123,000 registered users, covering 157+ countries, with over 99.9 million training files uploaded The above content is entirely my personal understanding and analysis (dyor). If you have other opinions, feel free to discuss them in the comments
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@HumanoidNetwork Welcome to $HAN Mark!
$HAN (CA 0x3746a5ebCA295Dee695dd1bcba50A8626Df3099C) adapt, Triple, Kain Veyra, Citrus, romewasntbuiltinaday.eth, Kien Nguyen are top holders. Top holders have 57% and 15.6% of the supply. Bubblemap doesn't show any major clusters. Top 10 holders have 78.1%, 975 holders with an average bag at $9.35k (high, red flag). Nfa