Hong Kong LongTech: While others are making grand statements in their white papers, they have actually produced an AI smartwatch
@LongTech官方 This year, the concept of Web4 suddenly became popular, but most projects only did one thing—wrote white papers.
The narratives are grander and grander, but the implementations are lighter and lighter. Where are the users? Where does the data come from? Where does the money come from? Very few can answer.
LongTech did not take this path. They focused on three things: a short video app with millions of users, a testing network that is already running, and an AI smartwatch released in August.
The logic is not complicated. You wear the watch; while you sleep, your heart rate, and when you run, daily data is encrypted by a chip and turned into on-chain assets. AI companies want to train models? Advertisers want precise targeting? Pay up. You go about your life, and the data generates income in the background. No need to understand wallets, no need to care about gas fees, just wear the watch.
Their short video app is called Shortchall, and the user count has already exceeded a million. Watching videos and posting content, behavioral data is recorded and verified, and users don’t even need to know what blockchain is. Recently, they launched a global challenge themed around the hit Indonesian song “Jodohku,” where participants create one-minute short videos with a total prize pool of about $6,000.
The on-chain layer has not lagged behind either. The testing network was launched in mid-March, the token went online in April, and the watch was released in August. The roadmap is pushed quarterly, and there have been no delays.
In the Web4 arena, LongTech focuses on the hardware entry point. Real data collected from sensors like running, heart rate, and sleep is much more solid than app click counts. The watch is equipped with a VDPU data processing unit and ZKP zero-knowledge proof technology, processing raw data in a trusted environment and only outputting privacy proofs externally.
In terms of token economics, real income is used to buy back and burn LTT. A portion of the money paid by AI companies and advertisers is used to buy back LTT to create deflation, and part is used to incentivize users to contribute data with LTC. There is commercial revenue backing it up, not relying solely on emotions.
These days, there are not many teams in Web3 that are honestly making products. LongTech did not make grand claims, they only did one thing: made the product real. The testing network is running, millions of users generate real behavioral data every day, the token went online in April, and the watch was released in August. The rest will be pushed forward gradually
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