Historically, selling a house was an exercise in guesswork. An agent would run “comps” — looking at what a neighbor’s house sold for six months ago — and scribble a net sheet on a napkin: “If we list for $300,000, and we paint the walls, you might walk away with $270,000.”
In an algorithmic world, that approach is dangerously outdated. Relying on six-month-old data is like trying to day-trade stocks with last week’s newspaper. The market moves in milliseconds, not months.
We saw that fragility clearly during the Cloudflare Bot Bug Outage, which temporarily paralyzed data streams across the web. When the centralized feeds glitch, the portals flicker — and you’re reminded that the number on your screen is a best guess, not a guarantee.
When that happens, local intelligence wins. That’s why we pair macro models (like our HSS/API forecasts) with on-the-ground underwriting through Local Home Buyers USA.