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Square Yards

Bigoh helped Square Yards to enable a dynamic property listing experience by building a social feed platform within their mobile app. This feature allows users to post property listings, engage through likes and comments, and interact socially around real estate content. The result is a more community-driven property discovery experience, making it easier and more interactive for users to find and explore listings.

3 Months

Industry: Proptech

Technical Stack Used: J2EE, Spring Boot, Cassandra, Mockito, JMeter, MemCache, JPA, AR, AI/ML

Service: iOS and Android App Development

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100K+Downloads
9,400+Properties Shortlisted via App
1,150+Virtual Tours Initiated

820+Property Bookings Initiated via App
+25%Agent Productivity Increase

About the Customer

Square Yards provides an integrated platform for real estate agents, developers, and financial institutions. As its tagline suggests, “real estate made real easy,” the company offers a smooth experience to customers, helping them find their dream homes with ease. Established in 2014, Square Yards offers solutions ranging from property search and loan advisory to transaction support and dedicated relationship managers. The company has a strong presence in over 9 countries and 100 cities.

Square yards

Project Details

BigOh helped Square Yards enhance the Square Connect app by integrating a new social feed feature that enabled users to discover more engaging and relevant content. The feed intelligently ranked posts based on their popularity, calculated using a mix of likes, comments, views, and the post’s location. To ensure the content remained fresh and timely, theta decay was introduced this concept gradually reduced the visibility of older posts unless they continued to receive high engagement. This addition made the user experience more dynamic, personalized, and focused on trending content.

Client’s Problems

No Personalized Recommendations

Without a social feed platform, users miss out on tailored content, seeing the same generic listings without relevance to their interests or activity.

Limited Showcase and Engagement for Buyers & Brokers

Brokers can’t present listings in an engaging way, and buyers miss out on interacting with posts or asking quick questions.

No Discussion Forum Mechanism

Without a social feed, users can't join ongoing discussions or ask questions—limiting their ability to gather insights and make informed property decisions.

No Smart Discovery or Social Sharing

Users can’t easily discover popular listings or share interesting properties with friends or family.

Lack of Gamification and Social Following

There’s no way to follow trusted brokers or see trending posts, making the platform feel less engaging and connected.

Challenges for Remote Buyers

Buyers who aren’t local struggle to understand the vibe of the property or area without real-time social updates.


Our Strategic Approach

  • Designed a personalized recommendation algorithm to show users the most relevant property posts based on their behavior, preferences, and past interactions.
  • Implemented theta decay logic in the feed algorithm to gradually reduce the visibility of older posts ensuring that fresh, high-engagement content surfaces to the top.
  • Enabled trending properties to be ranked dynamically based on a weighted score of likes, comments, shares, and recency—prioritized through real-time scoring.
  • Built a social interaction layer for property listings, allowing brokers and users to post engaging content (images, walkthroughs, stories) to attract attention.
  • Added features for likes, comments, and follows, turning one-way listings into two-way conversations and community-driven discovery.
  • Developed a discussion thread system to let users ask questions, get feedback, and make better-informed property decisions.
  • Supported remote buyers by surfacing hyperlocal feed content and broker activity—providing a digital feel of the area and current property sentiment.
  • Introduced gamification mechanics such as badges for top brokers, most liked posts, and follower counts to build trust and increase platform stickiness.
  • Enhanced organic property discovery through feed scrolling and content-based recommendations—reducing dependency on manual search.
  • Enabled social sharing of posts within and outside the app, helping users involve family, friends, or decision-makers.

Benefits

  • 40–55% increase in lead generation.
  • More users are reaching out for site visits or inquiries due to better visibility around properties.
  • 3x–5x faster discovery time for relevant listings.
  • Users now discover interesting properties within seconds/minutes instead of long browsing sessions.
  • 65% improvement in broker visibility and engagement
  • Brokers who actively post and engage gain more followers and inquiries via their content.

Meet the Experts Behind This Project

Every successful software transformation is powered by experienced engineers, architects, designers, and AI specialists. Connect with the experts who have delivered scalable digital solutions across healthcare, fintech, retail, manufacturing, education, and other enterprise industries.

GK

G. Kaur

Senior Data Scientist | 4 Years of Experience
4.5/5 | (4.5/5 by 100+ clients)

Specialises in:
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Python
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PyTorch
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MLOps
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Forecasting
RS

R. Sharma

Senior Solution Architect | 4+ Years of Experience
4.5/5 | (4.5/5 by 100+ clients)

Specialises in:
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AWS
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Cloud Architecture
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Microservices
PM

P. Mehta

Lead AI & Data Engineer | 2+ Years of Experience
4.5/5 | (4.5/5 by 100+ clients)

Specialises in:
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AWS
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Generative AI
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ML
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Python
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