Satellites capture rooftops. Street-view cars map highways.What about narrow streets? Neither can see inside the warehouse aisle, the apartment stairwell, the loading bay, or the crowded market street. Robots and Physical AI need real ground truth where life actually happens. That is the blind spot @vangrid_io is solving. That's why my eyes are always exploring more about this project. Instead of expensive fleets, Vangrid turns everyday phone video into verified, privacy-filtered 3D spatial models. Everyday contributors map their surroundings, and the network rewards them directly. How the flywheel works: ➔Everyday people record video ➔ Privacy filters strip personal data ➔ 3D spatial models get reconstructed ➔ On-chain verification confirms proof of location ➔ Contributors get paid in USDC ➔ Real-world AI and robotics teams train on ground-truth data ➔ Loop repeats The impact at scale: - 1.25M+ phone captures turned into 3D models - 450K+ active contributors - 4.7K+ on-chain attestations - $600K+ USDC already distributed Real-world AI cannot live on 2D flat maps. It needs depth, geometry, and real ground truth. Here Vangrind is a real game changer. @vangrid_io