I am open-sourcing a concept for a "Community Engine"—a protocol that converts verifiable acts (tool lending, tutoring, energy sharing) into anonymized impact tokens. It uses a "Fairness-Driven State Machine" to automatically redistribute resources to under-served neighborhoods.

I am not selling anything. I am looking for architectural feedback on the logic.

The Core Logic (The Fairness Formula): The engine uses a dynamic multiplier based on local scarcity. I = (A * Q) * (D / S)

Where: - I = Impact Token Minter - A = Act Base Value (e.g., 10 for tool lending) - Q = Quality/Verification Score - D/S = Demand divided by Supply (The Fairness Multiplier)

If a user shares electricity in a blackout zone (High Demand), the multiplier spikes, incentivizing resource flow to that specific geospatial hex.

The Architecture: 1. Privacy: Zero-Knowledge Proofs to verify "Proof of Residence" without revealing identity. 2. Indexing: H3 Hexagonal Indices to generate policy-grade heatmaps of "Social Resilience" rather than poverty maps. 3. State Machine: Event-driven logic (codenamed Base 44) to handle real-time fluctuations in neighborhood demand.

The RFC (Request for Comments): I am stuck on the "Oracle Problem." How do we verify physical acts (like lending a drill) without a centralized moderator or heavy friction? I am currently looking at IoT smart-locks + QR handshakes, but this seems gameable.

I’m looking for feedback on the formula and the Sybil resistance strategy.