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Real EstateAutomationCustom Dev

PropTrack

Property tech · Singapore

Key outcomeListing sync errors dropped to zero
0
Listing errors since launch
8 portals
Synced from one system
< 60s
Cross-portal update time
The challenge

What needed
solving

A Singapore property tech company was pushing listings to 8 regional portals manually. Mismatched prices, outdated availability, and missing images appeared on portals 24–48 hours after changes, leading to agent complaints and lost enquiries.

The solution

What we built

We built a unified listing management API layer using Node.js and PostgreSQL. Any change to a listing propagates to all 8 portals within 60 seconds. Slack alerts notify the ops team of any portal rejection or API failure.

Tech stack
Node.jsPostgreSQLBayut APIPropertyFinder APIn8nSlack API
Sector
Real Estate
Category
Real EstateAutomationCustom Dev
Results

The numbers

Concrete, measurable outcomes delivered in production.

0
Listing errors since launch
8 portals
Synced from one system
< 60s
Cross-portal update time
How we work

From brief to production

01

Discovery & scoping

We map the problem, understand the existing stack, and write a fixed-price proposal. No surprises.

1–3 DAYS
02

Build & weekly demos

You see working software every week. Feedback is incorporated immediately — not at the end.

2–6 WEEKS
03

Testing & QA

Every integration is stress-tested before go-live. Edge cases handled, fallbacks in place.

3–5 DAYS
04

Go live & handover

Full documentation, team training, monitoring setup, and 30-day post-launch support.

1 WEEK

Build something similar?

Book a free 30-minute call. We'll assess your situation and tell you exactly what we'd build — and what it would cost.

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