Open Arsenal

A map of real-world affordability.

OpenRange is an open source civic intelligence platform designed to map the real cost of living across every town and city in the United States and connect that data directly to jobs, income, and opportunity. It is built to move beyond averages and assumptions by grounding every recommendation in transparent, reproducible data. The system is structured as modular infrastructure, allowing each component—cost analysis, job matching, forecasting, and AI reasoning—to operate independently while contributing to a unified understanding of economic reality.

At its core, OpenRange analyzes the full spectrum of living expenses, including housing, food, utilities, transportation, insurance, and local tax burdens. It standardizes this data across locations to produce comparable “Town Profiles” that allow users to evaluate affordability with consistency and clarity. Instead of presenting single-point estimates, OpenRange uses ranges, volatility indicators, and confidence scores to reflect real-world variability in cost data.

Beyond cost analysis, OpenRange integrates a job matching engine that connects user skills and experience to real employment opportunities, both local and remote. Salaries are normalized against local cost of living and after-tax income to reflect true spending power rather than nominal wages. This allows the system to identify whether a job is truly sustainable in a given location and how it fits into a broader economic picture.

A key differentiator of OpenRange is its AI-driven budget and life planning system. Users can describe their financial situation, household needs, and career background in natural language, and the system translates this into structured constraints. It then simulates viable locations, estimates affordability gaps, and provides actionable relocation or upskilling pathways. This is paired with forecasting models that project changes in rent, wages, and regional economic stability over time.

Finally, OpenRange is built with transparency at its foundation. Every recommendation is fully explainable through an audit layer that exposes data sources, model logic, and decision pathways. Users can see exactly why a location or job was suggested, what data influenced the result, and how different assumptions would change the outcome. This combination of open data, AI reasoning, and auditability positions OpenRange as a public infrastructure tool for understanding economic opportunity in a clear and accountable way.