【ChainWen】Pundi AI has recently made a big move by partnering with daGama, a real-world location platform.
What does daGama do? Simply put, it connects your real-world activities—travel check-ins, restaurant visits, local discoveries—to Web3. You check in, review, share, and the platform gives you tangible rewards. They have already connected over 360,000 wallets, and mobile users are still rapidly increasing, making it one of the fastest-growing consumer-grade Web3 applications.
What’s special about this collaboration? daGama provides trusted location data, while Pundi AI offers verifiable data infrastructure. The two sides hit it off immediately. Every review, check-in, and exploration action of yours can become an AI signal with on-chain provenance. The key is that data contributors can truly own the value of their data—your explorations no longer go to waste and can be directly converted into economic benefits.
What are the future plans? They are preparing to launch joint products: verifiable experience proof datasets, AI agents trained on travel and merchant data, and new incentive mechanisms for global merchants and explorers. The goal is clear—build an open AI ecosystem, leave traces of real-world behavior on the blockchain, and enable ordinary users to share in the data economy.
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CrashHotline
· 42m ago
Wow, can we really make money just by eating, drinking, and having fun now? It still feels safer if there's on-chain provenance.
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ForkTongue
· 12-11 15:11
Finally, someone has digitized the value chain of the real world. It should have been done this way a long time ago.
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IntrovertMetaverse
· 12-10 12:11
Wait, can the things I review really be worth money? I have to try...
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HalfBuddhaMoney
· 12-10 12:10
Wow, finally there's a platform that dares to make our data valuable. We've been clocking in for so long for nothing before.
You can earn on-chain assets just by签到? I love this logic, but it depends on how the rewards are split.
A wallet of 360,000 is actually less than I imagined, there's still a lot of room for growth.
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NFTRegretter
· 12-10 12:09
My data finally has value. I couldn't make money from reviews on Xiaohongshu before.
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BearWhisperGod
· 12-10 12:07
Staking data on the chain is indeed appealing, but I'm worried it might just be another scam to fleece investors. Can Pundi's current move be trusted?
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BearMarketBuyer
· 12-10 12:06
My goodness, someone has finally put real-world consumption data on the blockchain. Previously, check-ins were just free for the platform; now, truly owning data value is what Web3 is supposed to do.
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MemeKingNFT
· 12-10 11:47
360,000 wallets? That number sounds like a bottom-building consensus... need to keep watching how the on-chain data develops.
Pundi AI teams up with daGama: Turn your travel check-ins into on-chain assets
【ChainWen】Pundi AI has recently made a big move by partnering with daGama, a real-world location platform.
What does daGama do? Simply put, it connects your real-world activities—travel check-ins, restaurant visits, local discoveries—to Web3. You check in, review, share, and the platform gives you tangible rewards. They have already connected over 360,000 wallets, and mobile users are still rapidly increasing, making it one of the fastest-growing consumer-grade Web3 applications.
What’s special about this collaboration? daGama provides trusted location data, while Pundi AI offers verifiable data infrastructure. The two sides hit it off immediately. Every review, check-in, and exploration action of yours can become an AI signal with on-chain provenance. The key is that data contributors can truly own the value of their data—your explorations no longer go to waste and can be directly converted into economic benefits.
What are the future plans? They are preparing to launch joint products: verifiable experience proof datasets, AI agents trained on travel and merchant data, and new incentive mechanisms for global merchants and explorers. The goal is clear—build an open AI ecosystem, leave traces of real-world behavior on the blockchain, and enable ordinary users to share in the data economy.