Listings with photos, a map, and search filters are all well-documented, mature patterns individually — genuinely one of the more approachable weekend builds once you assemble them.
Build it
Effort: a weekendRunning cost: $0/mo to start
Why CanICodeThis says Build it
A listing (photos, price, address, details) with a public detail page is standard content CRUD
Plotting listings on a map uses a well-documented mapping API — no custom mapping engine needed
Filtering by price, bedrooms, and location is a straightforward query builder
The parts that'll cause problems
Saved searches with email alerts when a new matching listing appears need a background job, not just a database query
Mortgage or affordability calculators are a small but genuine additional feature
Real-time availability sync with an MLS feed (if you need official listing data) is a real, separate integration project
How I'd build this
frontend
Next.js
database
Supabase
hosting
Vercel / Cloudflare Pages
MVP scope
Listings with photos, price, address, and details
A map view plotting all listings
Filter by price range, bedrooms, and location
A public detail page per listing
Postpone to v2
Saved searches with email alerts for new matches
Mortgage/affordability calculator
MLS feed integration for official listing data
What it actually costs to build
AI agent — with a subscription (Claude Pro/Max, Cursor, etc.)
$0 marginal
AI agent — pay-per-use API, no subscription
$43–$86 one-time
Hosting, once it's running
$0/mo (free tier)
Domain name, if you want your own
~$12/yr
The build prompt
Build me a real estate listing site: listings with photos, price, address, and details, shown on a public detail page. A map view plotting all listings using an existing maps API. Filters for price range, bedrooms, and location. Admin page to add/edit listings. Skip saved-search email alerts and MLS integration for v1.