ai-ohara-systems/model-prism

Model-Prism is a brand-new (3 days old) project with zero adoption signals (0 stars, 0 forks, 0 velocity). The core idea—an OpenAI-compatible gateway with intelligent routing and cost tracking—is well-trodden territory. Established competitors like LiteLLM, Langchain's LLM router, Anthropic's Bedrock, and Azure's OpenAI gateway already ship these exact capabilities. The project claims 'source-available' positioning but lacks any technical differentiation: benchmark-weighted routing and multi-tenant cost tracking are commodity features in this space. Without a live system, user base, or novel approach, this is a DIY clone of mature products. Platform domination risk is HIGH because OpenAI, Google, Microsoft, and Anthropic all have native gateway solutions or are building them; Anthropic's Bedrock-like offerings and OpenAI's own scaling solutions directly compete. Market consolidation risk is HIGH because LiteLLM (well-funded, widely adopted) and cloud-native alternatives own this segment. Displacement horizon is 6 months because the competitive pressure is immediate—any team adopting a gateway solution will default to battle-tested, funded competitors before considering a 3-day-old unknown project. The prototype implementation depth and complete absence of traction make this indistinguishable from a personal weekend project or tutorial repo. There is no moat: routing logic is straightforward, cost tracking is standard, and multi-tenancy is a solved problem. This would need 1000+ active users, a unique approach (e.g., hardware-specific optimization, proprietary benchmark methodology, or regulatory compliance niche), and 2+ years of continuous development to reach defensibility 5.