SIMOGRANTS: Stigmergic Impact Oracle for Public Goods

Problem Statement

Public goods funding has three fatal flaws that SIMOGRANTS solves simultaneously: 1. Committee bottleneck: Human evaluation committees cannot scale beyond 50 projects per round. Octant, Gitcoin, and similar programs face growing application volumes with fixed reviewer capacity. SIMOGRANTS replaces committees with autonomous multi-stakeholder AI evaluation that scales to thousands of projects. 2. Memoryless QF: Standard Quadratic Funding treats every epoch as a blank slate — a project that delivered massive impact last round starts from zero. SIMOGRANTS introduces Stigmergic QF with pheromone-based memory: projects that consistently deliver accumulate funding advantage, while underperformers naturally decay. 3. Collapsed disagreement: Single-score evaluation systems (1-10 ratings) destroy the most valuable signal: genuine stakeholder tension. When developers love a project but users hate it, that tension IS the insight. SIMOGRANTS preserves multi-stakeholder perspectives through Simocratic evaluation with explicit tension detection. Additionally: evaluation systems without on-chain attestation are unverifiable, funding mechanisms without anti-gaming defenses get Goodharted, and data collection that relies on a single source is fragile. SIMOGRANTS addresses all of these with triangulated collection, dimension rotation, and Filecoin-anchored evidence bundles.