Rental arbitrage - leasing a property long-term, furnishing it, and re-renting it nightly on Airbnb - only works when the numbers actually pencil out. Figuring that out has traditionally meant a weekend of browser tabs: rent listings in one, Airbnb comps in another, a city's short-term-rental ordinance in a PDF, a spreadsheet tying it all together. AirLoom exists to collapse that into one search.
What we build
AirLoom runs an 18-agent pipeline against any US city, state, or zip code: live rental listings, real Airbnb nightly-rate and occupancy comps, crime and safety data, census demographics, per-market short-term-rental compliance research, and a full five-scenario financial underwriting model. Every property that comes out the other side gets a single 0-100 score and, when it clears the bar, a ready-to-send landlord pitch.
How we think about data
We'd rather show you a real number from a real source than a confident-sounding guess. Rents come from live listings, not city averages; Airbnb demand comes from actual nearby listings via Inside Airbnb, not a citywide multiplier. Where a market genuinely has no data - a smaller city Inside Airbnb doesn't cover, for instance - we estimate, and we say so plainly rather than presenting an estimate as fact.
What we're not
AirLoom is a research and productivity tool, not legal, investment, financial, or tax advice. We surface the signals; you (and, where it matters, a lawyer or accountant) make the call. See our Terms of Service for the full picture.
Get in touch
Questions, feedback, or a market you think we should look at? Contact us or email us directly at ceo@airloom.dev.