Offline P2P Mapping
summary
Field-proven offline peer-to-peer mapping stacks collect GPS, photos, voice notes and drone imagery in places with spotty satellite or cellular caps, transfer by USB or local Wi‑Fi, and use an OpenStreetMap-like model with cryptographic IDs. Communities report 250+ observations of illegal activity with >50% traced to mining; a prototype syncing a quarter‑million records taking 15 minutes forces performance redesigns. Matteo and p2p DB use hypercore/hyperlog ideas, materialized spatial indexes, and a $50k grant supports further work; communities adopt the maps and elders use local icons.
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