EstateMap

Visual no-code mapper for real estate data between legacy and proptech.

Score: 7.7/10AustraliaMedium BuildReady to Spawn
Brand Colors

The Opportunity

Problem

Enterprise real estate teams face a nightmare when integrating modern proptech solutions with legacy systems, leading to endless delays and frustrated teams.

Solution

EstateMap provides a drag-and-drop interface to visually map data fields from legacy ERPs to proptech platforms, handling schema differences automatically. Teams validate mappings with live previews before deploying. It runs scheduled batch syncs, cutting manual ETL work by 90%.

Target Audience

IT and operations teams in large enterprise real estate firms using legacy systems

Differentiator

AI-assisted field matching tailored to real estate schemas (leases, tenants, properties).

Brand Voice

supportive

Features

Visual Mapping Canvas

must-have25h

Drag-drop fields with auto-suggest matching.

Schema Previewer

must-have20h

Live data preview post-mapping.

Batch Sync Scheduler

must-have20h

Cron-based data transfers with history.

AI Field Matcher

must-have18h

Suggests mappings based on real estate ontology.

Validation Tester

must-have15h

Run sample batches to catch errors.

Transformation Rules

nice-to-have12h

Simple JS-like rules for data cleaning.

Multi-source Maps

nice-to-have10h

Merge data from 2+ legacy systems.

Export Templates

nice-to-have8h

Shareable mapping templates.

Total Build Time: 128 hours

Database Schema

users

ColumnTypeNullable
iduuidNo
emailtextNo

maps

ColumnTypeNullable
iduuidNo
user_iduuidNo
source_schematextNo
target_schematextNo

Relationships:

  • β€’ user_id references users(id)

field_mappings

ColumnTypeNullable
iduuidNo
map_iduuidNo
source_fieldtextNo
target_fieldtextNo
transformationtextYes

Relationships:

  • β€’ map_id references maps(id)

sync_runs

ColumnTypeNullable
iduuidNo
map_iduuidNo
run_timetimestampNo
records_syncedintNo
successboolNo

Relationships:

  • β€’ map_id references maps(id)

API Endpoints

POST
/api/maps

Create new map

πŸ”’ Auth Required
POST
/api/maps/:id/preview

Preview mapped data

πŸ”’ Auth Required
PUT
/api/field-mappings/:mapId

Update mappings

πŸ”’ Auth Required
GET
/api/sync-runs

List sync history

πŸ”’ Auth Required
POST
/api/sync/:mapId

Trigger manual sync

πŸ”’ Auth Required

Tech Stack

Frontend
Next.js 14 + Tailwind + shadcn/ui + React Flow
Backend
Next.js API + Supabase Edge
Database
Supabase Postgres
Auth
Supabase Auth
Payments
Stripe
Hosting
Vercel
Additional Tools
OpenAI API for AI matching

Build Timeline

Week 1: Auth and canvas UI

40h
  • βœ“ User flow
  • βœ“ Basic visual mapper

Week 2: Schema loader

35h
  • βœ“ API connectors
  • βœ“ Preview pane

Week 3: AI matcher + tester

30h
  • βœ“ Auto-suggest
  • βœ“ Validation

Week 4: Sync engine

30h
  • βœ“ Scheduler
  • βœ“ History UI

Week 5: Features + payments

25h
  • βœ“ Rules, Stripe

Week 6: Refine + deploy

20h
  • βœ“ Tests, landing

Week 7: Beta polish

15h
  • βœ“ Feedback iter

Week 8: Launch

10h
  • βœ“ PH ready
Total Timeline: 8 weeks β€’ 205 hours

Pricing Tiers

Free

$0/mo

1k records/mo

  • βœ“2 maps
  • βœ“Manual syncs

Pro

$25/mo

50k records/mo

  • βœ“Unlimited maps
  • βœ“AI matching
  • βœ“Scheduled syncs

Enterprise

$99/mo

Unlimited

  • βœ“All + Priority, Multi-source

Revenue Projections

MonthUsersConversionMRRARR
Month 1405%$50$600
Month 625010%$625$7,500

Unit Economics

$35
CAC
$500
LTV
6%
Churn
90%
Margin
LTV:CAC Ratio: 14.3xExcellent!

Landing Page Copy

Map Real Estate Data Visuallyβ€”No Code Required

Drag-drop legacy fields to proptech. AI matches 80% automatically.

Feature Highlights

βœ“Visual canvas
βœ“Live previews
βœ“AI suggestions
βœ“Batch scheduling
βœ“Real estate optimized

Social Proof (Placeholders)

"'Mappings in minutes, not days' - Real Estate Ops, Hines"

First Three Customers

Post in proptech Slack/Discord communities with free mapping demo video; DM IT managers at mid-size REITs via LinkedIn, offering custom map for first sync project.

Launch Channels

Product Huntr/proptechLinkedInHacker News

SEO Keywords

real estate data mapping toollegacy proptech field mapperno code etl real estateyardi data sync

Competitive Analysis

Tray.io

tray.io
$500+/mo
Strength

Workflows

Weakness

Steep learning, no RE focus

Our Advantage

Visual RE-specific at $25

🏰 Moat Strategy

User-generated map templates create marketplace.

⏰ Why Now?

Data silos exploding with AI proptech; 60% firms report integration as top barrier (2024 CRE survey).

Risks & Mitigation

technicalmedium severity

Complex schema mismatches

Mitigation

AI + manual override

marketmedium severity

Adoption inertia

Mitigation

Free quick-wins

Validation Roadmap

pre-build5 days

Survey 15 ops teams

Success: 8/15 interested

mvp35 days

Beta with 3 maps

Success: User retention 70%

Pivot Options

  • β†’General no-code ETL
  • β†’Proptech reporting layer

Quick Stats

Build Time
205h
Target MRR (6 mo)
$800
Market Size
$400.0M
Features
8
Database Tables
4
API Endpoints
5