TL;DR: If you searched for “Free AirDNA,” you’re looking for short‑term rental (Airbnb) market data without a paywall. Chalet is a 100% free STR analytics suite for investors: market dashboards, revenue/occupancy/ADR trends, a deal analyzer, regulation guides, and instant agent/lender connections in 200+ markets—all free. Start here: /airbnb-analytics.
Why people search “Free AirDNA” (and what it actually means)
When investors type Free AirDNA, they want reliable market insights—occupancy, ADR, revenues, comps—without a credit card. AirDNA offers powerful data, but most deep‑dive metrics require a paid plan. If you want free access to actionable STR market data and calculators, Chalet is the best place to start.
Chalet vs. AirDNA (at a glance)
| Feature | Chalet (Free) | AirDNA (Free view) |
|---|---|---|
| Price | $0 | Limited free exploration; deeper data typically paid |
| Market coverage | 200+ US markets (expanding) | Global coverage (full insights paywalled) |
| Core metrics shown free | Occupancy, ADR, revenue ranges, booking trends, supply analysis | Preview/limited market exploration |
| Address‑level deal analyzer | Yes — STR calculator with rev/ROI estimates | Rentalizer (deeper detail usually paid) |
| Regulation guides | Yes — curated Airbnb law pages per market | Educational resources |
| Realtor network | Yes — investor‑savvy agents in each market | Not a focus |
| Lender network | Yes — DSCR/STR lenders | Not a focus |
| Mid‑term rental data | Yes (select markets) | Not core |
| Cost seg & tax content | Yes — investor guides | Varies |
Bottom line: If you need free STR analytics + real human help (agents/lenders), Chalet is the fastest on‑ramp.
What you can do for free on Chalet
1) Scan markets
Explore occupancy, ADR, seasonality, supply growth, demand drivers, and revenue ranges by city or region.
→ Start here:
2) Analyze any address
Paste an address into our STR calculator to estimate revenue, occupancy, nightly rates, expenses, cash flow, and ROI—then adjust assumptions to fit your plan.
→ Try it:
3) Check local rules
Read plain‑English Airbnb regulation guides for each market with links to official resources.
→ Browse Airbnb Rental Regulations:
4) Get real help
Match with investor‑savvy realtors and STR lenders who actively close Airbnb deals in your target market.
→ Airbnb-friendly Real Estate Agents:
→ Airbnbs for sale:
→ Sell your STR:
How to use Chalet as your “Free AirDNA” (step‑by‑step)
- Pick a market: Open Chalet Analytics and select your city.
- Read the story of demand: Note occupancy %, ADR trendlines, seasonality, booking lead time, and supply growth.
- Pressure‑test an address: Open Chalet Airbnb Calculator, paste your address, and review revenue + occupancy estimates and comps.
- Reality‑check regulations: Confirm if your use case is allowed at /resources/rental-regulations/.
- Validate with a local pro: Click “Get Matched” to connect with a vetted STR realtor/lender for boots‑on‑the‑ground feasibility (neighborhood rules, HOAs, permit timelines, DSCR terms).
- Decide fast: If the numbers/regulations check out, ask your agent for active/pocket listings and move.
Data you’ll see (free) on Chalet
- Occupancy Rate by month and rolling averages
- Average Daily Rate (ADR) trends
- Revenue ranges by property size/type
- Supply growth and amenities impact in select markets
- Booking windows and seasonality curves
- Neighborhood comps (where available)
- STR calculator outputs: revenue, operating costs, NOI, cap rate, cash‑on‑cash, loan scenarios
Tip: Bring your own taxes/insurance/utilities numbers for sharper underwriting. The calculator lets you tweak assumptions live.
Why Chalet is different (and free)
- We’re investor‑first. Our platform connects you to the best STR‑savvy realtors and lenders in the country. That partner network funds our business so your tools stay free.
- No paywall. We believe early underwriting shouldn’t require a subscription. Get market intel, then talk to a local pro when you’re serious.
- Built for action. Data → calculator → vetted agent/lender → offer. We collapse the research → execution gap.
