collecting real world data is one challenge making sure someone actually needs that data is another thats what makes the approach from @vangrid_io interesting rather than building a huge dataset first and looking for buyers later, vangrid lets requesters define a specific location, fund a bounty in usdc and pay for a capture once its accepted the workflow connects three pieces buyers specify the information they need contributors go out and capture the actual environment the network turns that contribution into a deliverable that can be reconstructed as a 3d model this demand first approach could make a difference for physical ai, where a general map isnt always enough and the exact details of a particular place matter but the real test goes beyond getting bounties funded can the network consistently capture the right location, deliver sufficient quality and produce results worth paying for? one successful bounty shows that the workflow can work repeat buyers would show that it solves a problem people genuinely @quipnetwork