Real Estate & Construction
Build a Real Estate Agent CRM with AI - in Hours
ProjectCode generates a complete, production-ready Real Estate Agent CRM from a single natural language prompt. In hours instead of months, you get a React frontend, NestJS REST API, PostgreSQL database, and authentication - fully integrated, live-previewed, and deployed to a URL you own.
Free to start · No credit card required
The Challenge
Why building a Real Estate CRM from scratch is hard
Building a Real Estate Agent CRM from scratch requires months of development time and significant engineering resources. Teams struggle to coordinate frontend, backend, database, and authentication while managing real estate crm-specific business logic, integrations, and role-based access rules.
What's Included
Everything your Real Estate CRM needs
ProjectCode generates a production-ready Real Estate CRM with all the modules your team needs from day one.
Architecture
How it's built
The generated Real Estate CRM follows production-grade architecture patterns.
React 18 + TypeScript frontend with role-based dashboards tailored for real estate crm workflows
NestJS REST API with dedicated real estate crm modules, DTOs, validators, and service layer
PostgreSQL relational schema with normalized tables for all real estate crm entities
JWT + Google OAuth authentication with granular permission gates per role
Real-time Socket.IO events for live real estate crm status updates and notifications
Managed hosting with one-click deploy, custom domain, and auto-SSL
Database
PostgreSQL schema designed for Real Estate CRM
ProjectCode generates a normalized, indexed PostgreSQL schema with the right tables and relationships for your use case. You own the schema and can evolve it freely.
- leads (id, name, email, phone, type, source, budget_min, budget_max, preferred_areas jsonb, timeline, score, stage, assigned_agent_id, created_at, workspace_id)
- interactions (id, lead_id, agent_id, type, notes, property_id, outcome, scheduled_at, completed_at)
- property_alerts (id, lead_id, criteria jsonb, last_sent_at, match_count, is_active)
- commissions (id, agent_id, deal_id, property_id, sale_price, commission_rate, total_commission, expected_at, received_at)
-- Generated by ProjectCode -- Real Estate Agent CRM schema CREATE TABLE leads__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE interactions__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE property_alerts__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns ); CREATE TABLE commissions__id ( id UUID PRIMARY KEY DEFAULT gen_random_uuid(), created_at TIMESTAMPTZ DEFAULT NOW(), updated_at TIMESTAMPTZ DEFAULT NOW() -- ... auto-generated columns );
Tech Stack
Production-ready from day one
Every generated app uses a battle-tested stack you can deploy anywhere and own completely.
Frontend
React 18 + TypeScript + Tailwind CSS
Backend
NestJS 10 + Node.js + TypeScript
Database
PostgreSQL (managed or Supabase)
Auth
Email OTP · Google OAuth · GitHub OAuth
Deployment
Managed hosting · Custom domain · Auto-SSL
AI Models
Claude Sonnet · Claude Opus · Kimi
Try It Now
Example prompt to get started
Copy this prompt into ProjectCode and get a working app in minutes.
Build a real estate agent CRM for a brokerage with 50 agents. Include lead capture from website, Zillow, and Realtor.com with source tracking, buyer preference profiles for property matching alerts, lead scoring by budget and timeline, a pipeline Kanban with stages from Lead to Closed, automated email sequences for cold leads and recent showings, text message integration for fast response, showing scheduling coordination, a commission tracker with expected vs received tracking, and a leaderboard dashboard showing each agent's active leads, closings this month, and year-to-date commission.
Deployment
Deploy your Real Estate CRM anywhere
Managed hosting
One-click deploy to a live URL managed by ProjectCode.
Custom domain
Connect your own domain with auto-provisioned SSL via Cloudflare.
GitHub export
Push to your GitHub repo and self-host or deploy via Vercel, Railway, or AWS.
Docker ready
Export a Dockerfile and docker-compose for any containerized environment.
Pricing
Start free, scale as you grow
No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.
Free
$0
Start building your first app. Live preview, managed hosting, and full code export included.
Token Packs
From $5
Purchase token packs that roll over every month. Build more, pay only for what you use.
Enterprise
Custom
Custom models, SLA, SSO, and private cloud deployment for large teams.
FAQ
Common questions about building a Real Estate CRM
Each buyer lead has a saved preference profile (areas, price range, bedrooms, property type). When a new listing is added matching those criteria, the system generates a property alert email to the lead with a preview of the matching properties and a link to schedule a showing.
Related
More apps you can build
Build your Real Estate CRM in hours, not months
Start free. No credit card. Your first app is live in minutes.
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