Real Estate Business Platform

A complete ecosystem for property buying, selling, and real estate management.

🔴 The Problem

The client’s real estate business was operating via fragmented systems—WhatsApp for client communication, Excel for property listings, and physical folders for documents. This created massive inefficiencies, lost leads, and a disjointed experience for potential buyers trying to view properties online.

🟢 The Solution

We developed a unified Real Estate Platform serving as both a public property portal for buyers/renters and a private CRM for the agents. The platform features advanced search filters, interactive maps, and high-quality image galleries.

💡 Why & What I Solved

Advanced Search & Filtering: Buyers needed to find properties based on highly specific criteria (price range, amenities, location radius). I implemented a performant search system using Supabase's full-text search capabilities.
Agent Dashboard (CRM): Agents can now log in, upload new property listings, track leads, and manage client communications in one place.
Image Optimization: Real estate relies heavily on imagery. I set up an automated image optimization pipeline using Next.js Image component and Supabase Storage.

🛠️ How to make the same (Setup Instructions)

To build a similar real estate ecosystem:

1. Tech Stack

Frontend: Next.js (React), Tailwind CSS
Map Integration: Mapbox or Google Maps API
Database/Storage: Supabase
Auth: Clerk

2. Database Schema (Supabase)

You'll need tables for properties, agents, and leads.

properties: id, title, description, price, location, features (JSONB), images (Array).

3. Implementation Steps

Set up your Next.js project and install map libraries (e.g., react-map-gl).
Configure Supabase Storage buckets for handling high-res property images.
Create the filtering logic by leveraging URL search parameters (?priceMin=X&priceMax=Y) to keep the UI in sync with the server state.
Build the Agent Dashboard using Clerk for role-based access control.