The bottleneck is not another model.
It is the last twenty meters.
A robot can reason cleanly and still stall at a door it has never seen, a dock that changed this week, or a walkway that does not match last year’s map.
Training on text does not fix that. Training on a roof photo does not fix that either.
@vangrid_io is collecting the missing layer: ground-level footage of named places, taken by people who are already standing there.
A contributor records a short clip on a normal phone.
Faces and plates are blurred on the device.
The clip is fingerprinted, reconstructed into a 3D model, and verified on-chain on Base.
If the spot is not covered yet, a requester posts a bounty, funds it, and pays the accepted submission in USDC.
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Why that matters
Ground-level data, not another map
A delivery robot does not enter through the storefront.
It needs alley width, ramp pitch, and whatever changed since last quarter.
Someone has to stand there at human height and record it.
You can scrape text.
You cannot scrape a service alley.
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Coverage grows by request
A requester describes the place, funds a bounty, reviews submissions, and accepts one.
Reconstruction comes back as a textured mesh.
That is how the network fills gaps: by commission, not by waiting for a mapping van.
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Agents can hire humans
Software can post a bounty and pay for a capture.
An agent does not need a survey fleet.
It can pay a person to go look. —————————————————
Proof starts on the phone
Unblurred frames are not supposed to leave the device.
Each capture carries a content hash, coarse location, and timestamp.
Batches are anchored on Base so a buyer can check the record instead of trusting a dashboard. —————————————————
Where to look
Capture at
app.vangrid.io.
Post or fulfill bounties at
data.vangrid.io.
Android is live.
The explorer is there so activity can be inspected, not screenshotted.
I am not watching Vangrid because it sounds like another DePIN slogan.
I am watching it because Physical AI is starving for dated, human height ground truth, and this is one of the few networks collecting that layer with phones people already own.