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Real Estate Portal

A Full Property Portal for Hubli — Live in Under 2 Weeks

A complete real estate listing portal for Hubli buyers and sellers — built with Next.js, deployed on Vercel, loading in under 1.5 seconds and capturing leads directly via WhatsApp without any third-party portal commissions.

Next.jsVercelWhatsApp APIMobile-FirstReal EstatePortal
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Project Details

ClientOryx Properties
CategoryReal Estate Portal
Timeline12 days
FrameworkNext.js + Vercel
Lead SystemWhatsApp Direct
StatusLive
<1.5sLoad Time
100%Mobile Ready
GreenCore Web Vitals
DirectWA Leads
0%Portal Commission
12 DaysBuilt & Live
The Challenge

What problem needed solving

Every project starts with understanding the real problem — not just the requested deliverable.

🚫 The Problems
No online property listing platform specific to Hubli — buyers forced to use generic national portals
National portals (99acres, MagicBricks) charge high listing fees and show Hubli properties alongside thousands of unrelated listings
No WhatsApp-native enquiry system — buyers had to call, email or fill long forms
Property photos not showcased effectively — no gallery, no room-by-room breakdown
No city-wise filtering — buyers could not search by Vidyanagar, Gokul Road, Unkal or other Hubli neighbourhoods
Mobile performance poor on existing tools — slow loading killed the mobile buyer experience
✅ Our Solutions
Built a Hubli-specific property portal with neighbourhood filtering from the ground up
Eliminated third-party portal dependency — all listings managed directly on the platform
One-tap WhatsApp enquiry system — every property listing has a pre-filled WhatsApp contact button
Full photo gallery per listing — exterior, interior, floor plan, neighbourhood photos
Neighbourhood-based filtering — buyers can search by Vidyanagar, Unkal, Gokul Road, Navanagar
Next.js SSG for sub-1.5s load time — property images optimised with next/image compression
Project Timeline

How the project unfolded

From the first WhatsApp message to a live, indexed, ranking website.

1
Day 1–2

Requirements & Design

Mapped required property types, filter categories, Hubli neighbourhood taxonomy and WhatsApp enquiry flow.

2
Day 3–4

Next.js Architecture

Set up Next.js project with SSG, routing structure, property data model and Vercel deployment pipeline.

3
Day 5–7

Core Build

Property listing pages, search filters, neighbourhood pages and WhatsApp integration built and tested.

4
Day 8–9

Photo Gallery & Performance

Implemented next/image for automatic compression, lazy loading and responsive sizing. Achieved sub-1.5s load.

5
Day 10–11

Content & Data

Uploaded initial property listings with photos, descriptions, pricing and location data across 5 Hubli neighbourhoods.

6
Day 12

Launch & Verify

Deployed to Vercel, verified Core Web Vitals (all green), tested WhatsApp flow end-to-end, submitted to Google Search Console.

Technology Used

Tools and stack behind this project

Every technology choice was made deliberately — based on what the project required, not what was trendy.

🚀Next.js
🌧Tailwind CSS
☁Vercel
📱WhatsApp Business API
⚡next/image
📊Google Analytics
🔍Google Search Console
🔗Schema.org RealEstate
Before & After

The measurable transformation

❌ Before
❌
National portal listings — high cost, lost in thousands of unrelated results
❌
No Hubli-specific property search
❌
Phone/email-only enquiry — friction, missed leads
❌
Unoptimised property photos — slow, large files
❌
No mobile-optimised experience
❌
No neighbourhood-level search for Hubli areas
✅ After
✅
Dedicated Hubli property portal — zero listing fees
✅
Neighbourhood filtering: Vidyanagar, Unkal, Gokul Road, Navanagar
✅
One-tap WhatsApp enquiry on every listing
✅
next/image compression — property photos load instantly
✅
Sub-1.5s load on mobile — green Core Web Vitals all metrics
✅
Google-indexed property pages ranking for Hubli searches
Results

Measurable outcomes from this project

⚡
<1.5s

Load Time

Fastest property page load in the Hubli market

📈
100%

Mobile Optimised

Designed for phone-based property browsing

✅
Green

Core Web Vitals

All three metrics — LCP, FID, CLS — green

📱
Direct

WhatsApp Leads

Every enquiry lands on owner's WhatsApp instantly

🚀
SSG

Next.js Architecture

Static generation for maximum speed and SEO

🏠
0%

Commission

No third-party portal fees on any enquiry

Key Learnings

What this project taught us

Every project produces insights we carry into the next one — making each project better than the last.

Next.js SSG is the right choice for property portals

Static site generation means each property page pre-renders at build time — delivering instant load even for property pages with 10–15 large photos. This was the single biggest performance win.

WhatsApp is the right lead channel for Hubli real estate

We tested form submissions vs WhatsApp buttons. WhatsApp had 4x higher completion rate — Hubli buyers are more comfortable starting a property conversation on WhatsApp than filling a website form.

Local specificity beats generic portals for engagement

Buyers searching for a flat in Vidyanagar spend 3x longer on a Hubli-specific portal than on 99acres — because they find only locally relevant results rather than filtering through national noise.

Neighbourhood taxonomy from day one is critical

Building the Hubli neighbourhood hierarchy into the data model from day one made it trivially easy to add neighbourhood filter pages and SEO-optimised neighbourhood landing pages later.

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Want a property portal or listing website for your Hubli business?

We built this in 12 days. Whether it is a property portal, a directory, or a business listing site — WhatsApp us and we will scope it for you.

WhatsApp Us → 📞 +91 72599 53308