Physical AI is not stuck on compute anymore. It is stuck on places. A lab can film the same table a thousand times. It still has no idea what that loading dock looks like on a Thursday. @vangrid_io treats three billion phones as the sensor network. You do not scrape the world. You commission it. Someone needs a store aisle, a stairwell, a warehouse corner. They post a bounty. A phone on the ground captures it. The file becomes structured spatial data. The proof lands on Base. USDC settles when the work is accepted. Web + Android have been live since July. $9M seed from HashKey, Animoca, Borderless, Crypto.com Capital, Gate Labs, Mapleblock announced after the grid was already moving. Amsterdam. NVIDIA Inception. If the number is real, explorer. vangrid.io will show it. If it is not onchain, it is just another robotics slide. Only discord.gg/vangridio @vangrid_io @NucleusCodes

Sep 24, 2026 · 11:49 AM UTC

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Replying to @sonsakripto @vangrid_io
real world data wins when quality is provable
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Replying to @sonsakripto @vangrid_io
Capturing spatial data transforms physical environments
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Replying to @sonsakripto @vangrid_io
commissioning the world beats scraping it is the right frame
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Replying to @sonsakripto @vangrid_io
Vangrid is building the future
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Replying to @sonsakripto @vangrid_io
Nice to see continued development.
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Replying to @sonsakripto @vangrid_io
Solid take, especially that last part
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Replying to @sonsakripto @vangrid_io
Hey there Seems like exciting times for Vangrid and utilizing phone cameras
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Replying to @sonsakripto @vangrid_io
commissioning real world data through phones feels much more scalable than traditional robotics data collection
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Replying to @sonsakripto @vangrid_io
Real world variation is the hard part.
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Replying to @sonsakripto @vangrid_io
wild vision for phone sensors
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Replying to @sonsakripto @vangrid_io
places are the real physical ai moat
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Replying to @sonsakripto @vangrid_io
Data from three billion phones is powerful
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Replying to @sonsakripto @vangrid_io
This approach to spatial data is intriguing. Using phones as sensors seems like a game changer.
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Replying to @sonsakripto @vangrid_io
Turning everyday phones into a real-world sensor network is a powerful idea
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Replying to @sonsakripto @vangrid_io
Capturing smart fresh data for physical AI
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Replying to @sonsakripto @vangrid_io
Using phones as a sensor net feels wild but privacy worries rise?
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Replying to @sonsakripto @vangrid_io
Leveraging every phone as a sensor turns the world into a living map—yet the challenge is getting enough diverse bounties.
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Replying to @sonsakripto @vangrid_io
USDC settles when submitted work is accepted
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Replying to @sonsakripto @vangrid_io
This creates an interesting bridge between participation and opportunity.
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Replying to @sonsakripto @vangrid_io
Real-world context is essential for AI to truly understand and learn.
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Replying to @sonsakripto @vangrid_io
turning 3 billion phones into freelance spatial mappers is neat until you realize the hard part was never the sensors, its pricing a wet stairwell scan so someone actually gets off the couch
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Replying to @sonsakripto @vangrid_io
How do they verify the scan quality before payout?
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Replying to @sonsakripto @vangrid_io
Love the three-billion-phones sensor network take on physical AI with Vangrid.
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Replying to @sonsakripto @vangrid_io
Someone needs a store aisle, a stairwell, a warehouse corner. They post a bounty.
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Replying to @sonsakripto @vangrid_io
vangrid is onto something bigvangrid really gets it
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Replying to @sonsakripto @vangrid_io
vangrid is onto something big
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Replying to @sonsakripto @vangrid_io
Vangrid id building the future herw
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Replying to @sonsakripto @vangrid_io
I honestly love the collaboration between the two projects fr
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