Something I find interesting about @vangrid_io is that its network can grow without requiring a dedicated mapping device to be manufactured and distributed to every contributor. That changes the starting point for collecting spatial data. A traditional mapping operation may need specialised equipment,trained crews, transport and scheduled visits. That approach can be useful,but expanding coverage means coordinating more resources before a single new location gets captured. Vangrid takes a different route. People already carry smartphones, and those devices can be used to record environments that need better ground level coverage. The challenge shifts from distributing hardware to getting useful captures from the right places. I think that distinction matters when the world itself is the dataset. A warehouse can change its layout,a passage can become obstructed,and an overlooked building interior may never appear in conventional mapping data. A distributed capture network creates another way to collect those missing observations. On device privacy filtering, quality checks and verifiable capture records each help address a different part of the process. Of course, having millions of phones available does not automatically guarantee complete or accurate 3D data. Capture quality,coverage and reconstruction still determine how useful the result will be. But reducing the dependence on dedicated capture equipment creates room for a different kind of spatial data supply chain,one that can draw on devices people already own. For me, the important shift is not simply using phones instead of mapping vans. It is making the collection of real world spatial data less dependent on deploying an entire operation before a location can be documented. @vangrid_io