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Development of a Closed-Community Property Sharing Platform

instinctools.com

Real estate

Hospitality & leisure

Market Gap in Trusted Property Sharing

Property owners with underutilized second homes face challenges in finding trustworthy platforms to share their properties, while potential guests struggle to access quality accommodations through traditional rental platforms that lack social trust mechanisms.

About the Client

Accommodation startup focused on peer-to-peer property sharing within trusted social networks

Core Business Goals

Create a secure platform for property owners to share their properties within trusted networks
Establish a closed community verification system for member onboarding
Implement automated property exchange scheduling
Develop community-driven content management features
Ensure equal property value perception through standardized valuation metrics

Platform Functional Requirements

Social network-based user authentication
Property listing management with multimedia support
Dynamic calendar-based booking system
Community recommendation engine
Post-moderated comment system for property reviews
Administrative dashboard for community management
Automated cleaning service coordination
Property damage reporting workflow
User profile management with social verification

Technology Stack

Node.js

MongoDB

Angular.js

System Integrations

Third-party calendar synchronization
Payment gateway for cleaning services
Insurance policy verification API
Social media recommendation engine

Non-Functional Requirements

End-to-end encryption for user data protection
Horizontal scalability for community growth
99.9% system availability SLA
Multi-tenancy architecture for property management
Responsive design for cross-device compatibility

Business Impact Projections

The platform will enable property owners to maximize asset utilization while maintaining trust through social connections, creating a unique market position in the sharing economy. Expected outcomes include 40% higher property occupancy rates compared to traditional platforms and 65% reduction in community management overhead through automated verification processes.