Describe your agency and Fastshot builds an iOS and Android property app with listing search, a map, photo galleries, favorites, viewing requests and agent profiles. Your listings live in the app database.
Describe the app to Fastshot and approve the plan. In about 5 to 7 minutes you have a property app with filtered search, map pins, photo galleries, favorites and viewing requests. Agents add listings from an admin screen, and the listings are stored in your own Supabase tables. Publish it to the App Store and Google Play from the same project.
Last updated: November 4, 2026
Three groups build property apps. Independent agents want clients to carry their listings and contact details in a pocket. Small brokerages want one branded app for ten agents instead of ten separate Instagram pages. Developers selling units off plan want buyers to see floor plans and request a visit. All three need the same loop: someone finds a home, saves it, asks about it, and books a viewing.
That loop sets the screen list. Search must filter by price, bedrooms, bathrooms and property type, because buyers throw away anything outside their range in seconds. A map matters as much as a list, since location decides most purchases. The detail screen has to carry photos first and facts second. And the inquiry has to arrive where the agent already works, which for most agents is their phone.
The listings are your data, not a purchased feed. Agents type them into an admin screen inside the app, add photos from the camera roll, and mark a home as sold when it goes. Each listing is a row in the app database, so you can change a price and every buyer sees the new number on the next open.
MLS data is a different arrangement. Brokers get it through their MLS under its own licence and rules, and the modern transport for it is the RESO Web API. If you hold such a feed, it is a separate agreement between you and your MLS. The app displays whichever listings are in its tables.
One card per screen, in the order a buyer meets them.
Featured homes on top, then new listings and a row of neighborhood shortcuts. A search bar jumps straight to filtered results.
Price range slider, bedrooms, bathrooms, property type (house, condo, land, rental) and status (for sale, for rent, sold). Results update as the filters change.
Pins at each listing's latitude and longitude, drawn with react-native-maps, which shows Apple Maps or Google Maps on iPhone and Google Maps on Android. Tapping a pin opens a small price card.
A swipeable photo carousel, a facts grid (beds, baths, size, year built), the description, the agent card and a monthly payment estimate.
A heart on every listing and a Save this search button on the filter screen. Saved searches are what later trigger an alert.
The buyer picks a date and time and adds a note. The request goes to the agent with a pending status and the buyer watches it change to confirmed.
Price, down payment, interest rate and term in. Monthly payment out, using M = P x r(1+r)^n / ((1+r)^n - 1), where P is the loan amount, r the monthly rate and n the number of payments.
Buyers see the agent's photo, bio, active listings and a call button. Signed-in agents also see an admin screen to add a listing, upload photos, edit the price and read inquiries.
Listing data stays in your database. This is the structure a property app usually gets.
| Table | Key columns | What it stores |
|---|---|---|
| agents | user_id, full_name, phone, bio, photo_url, agency | Agent profiles shown on listings and the people allowed to add listings |
| listings | agent_id, title, status, property_type, price, bedrooms, bathrooms, area_sqm, lat, lng, address, description, listed_at | The homes themselves, one row per property |
| listing_photos | listing_id, storage_path, sort_order | Image files in storage and the order they appear in the carousel |
| neighborhoods | name, city, cover_url | The shortcut row on Home and a way to group results |
| favorites | user_id, listing_id, unique (user_id, listing_id) | The hearts each buyer has tapped |
| saved_searches | user_id, min_price, max_price, bedrooms, property_type, neighborhood_id, notify | Filter sets a buyer wants alerts for |
| inquiries | listing_id, user_id, message, phone, created_at | Questions sent from the detail screen |
| viewings | listing_id, user_id, requested_for, status (pending, confirmed, declined) | Viewing requests and the agent's answer |
Replace the agency name and city with yours.
Create a real estate app for Harbor & Pine Realty in Lisbon, for iOS and Android. Clean white layout with a teal accent and large photos.
Screens:
1. Home: featured listings, new this week, neighborhood chips.
2. Search: filters for price range, bedrooms, bathrooms, property type and status (sale, rent, sold). List view and a Map view with pins from latitude and longitude.
3. Listing detail: swipeable photo carousel, facts grid, description, agent card with call button, Save heart, Request a viewing button, and a monthly payment estimate from down payment, rate and term.
4. Favorites and Saved searches. Saved searches can have alerts switched on.
5. Request a viewing: date and time picker plus a note. Show the status (pending, confirmed, declined) in a My viewings list.
6. Agent admin, only for users in the agents table: add or edit a listing with up to 12 photos, mark as sold, see inquiries and viewing requests.
Backend with Supabase: tables agents, listings, listing_photos, neighborhoods, favorites, saved_searches, inquiries, viewings. Buyers sign in with email, Google or Apple. Anyone can read listings that are not drafts. Only the owning agent can edit a listing.
Notifications: tell the buyer when the agent confirms a viewing, and when a listing that matches a saved search is added.Name the city, the property types you sell and whether the app is for one agent or many. These choices change the filters. A rental-only agency gets monthly rent and lease length, a land seller gets plot size.
Fastshot may ask whether buyers need an account to browse. Open the plan and confirm the filter list matches how your buyers search. Anything missing is a one-line chat request.
Sample listings are in the app from the first build. Drag the price slider, switch to the map and tap a pin. The browser preview shows a web version of the map, and Expo Go on a phone shows the real one.
Accept the backend connection, sign in with Apple, Google or email, and add yourself as an agent. Open the admin screen, create a listing and upload its photos. The new home shows up on the buyer side right away.
Notifications tell a buyer when you confirm a viewing and when a new listing matches their saved search. Install the build on your phone, send a test from the Notifications tab, and check that tapping it opens the listing.
Fastshot builds the iOS and Android files on its own machines. You publish with your Apple Developer account ($99 a year) and Google Play account ($25 one-time), with the agency name as the seller, and can send a TestFlight build to your team first.
Community apps in the same space, from search to rent tracking.
A property marketplace with filtered search, categorized sections and a favorites list. See HOLOL in the gallery.
A landlord dashboard for rent collected, arrears and occupancy across a portfolio. See ZimRent Manager in the gallery.
A lead tracker that sorts prospects by stage and priority with call and WhatsApp shortcuts. See Property Bazaar in the gallery.
The first version appears in about 5 to 7 minutes after you approve the plan. Loading your real listings and photos is the part that takes your time. An agent with twenty homes can usually finish that in an afternoon.
The app shows the listings stored in its Supabase tables. MLS data comes through your MLS under its own licence and display rules, and the standard feed format today is the RESO Web API. If your MLS grants you access, that is a separate agreement from building the app.
ChatGPT writes code but cannot compile or publish it, so you would still need Xcode and Android Studio to ship. Fastshot builds and publishes the iOS and Android app itself. The long answer is in can ChatGPT build an app.
The usual routes are leads that become commissions, paid placement for featured listings, and a subscription for agents who want more listings or analytics. Fastshot supports subscriptions through Adapty or RevenueCat. See how to monetize an app for the options.
Yes. A saved_searches row stores the filter values, and when an agent adds a listing that matches, the backend sends a push notification to that buyer. The buyer can switch the alert off per search.
Yes. Each agent signs in with their own account, and database rules let an agent edit only the listings they created. Buyers see every agent's active homes, and each listing shows the right agent card.
No. Search, map and detail screens can be open to everyone. Favorites, saved searches and viewing requests ask for a sign-in, which is how the agent knows who to answer.
See how Fastshot builds iOS and Android apps from one prompt.
Track leads and follow-ups for the buyers your app brings in.
Listings, search and seller accounts for any kind of marketplace.
Start with search and inquiries, then add alerts and agent tools.
Use Cases
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Use Cases
Describe your agency and get a real estate app for iOS and Android with search, maps and viewing requests.