Housing data & analysis · Colorado
Buyer and renter segments, price points, absorption pace, with confidence intervals attached.
Submarket definition, competitive supply, pricing and product fit for a specific site.
We rebuild the financials, stress the assumptions, and report what actually drives the outcome.
Reconcile an inherited spreadsheet against its own logic. Find where it disagrees with itself.
Census, State Demographer forecasts, FRED, permits: fetched, dated, staleness-flagged.
When the analysis needs to be run again next quarter, we build the tool instead of the deck.
Rural Homes Colorado · 2026
Their demand model, the thing that decides where they build, was a hand-maintained Excel workbook. We rebuilt it as a live tool their analysts open in a browser, that automatically pulls data from the Census and other sources.
Bill Ray
Bill spent four years building machine learning systems and data pipelines at companies like Kitware, Vaisala, and Seagate, before deciding the interesting problem was housing.
MS in Computer Science, UMass Amherst; MS in Real Estate and the Built Environment, University of Denver. While at DU, his teams won 2nd and 3rd nationally in the 2025 and 2024 NAHB Student Competitions. He has previously consulted at John Burns Research and Consulting.
Barn Swallow is small on purpose. There is no junior analyst you'll be handed to.
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Photo by Bill Ray
