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Development of a Map-Based Social Media Travel App with Personalized Recommendations

miquido.com

Hospitality & leisure

Technology

Social Media

Challenges in MVP Development and Map Integration

The client required reconciliation of a complex MVP idea with business goals, implementation of a unique map-based social experience, and ensuring scalability while maintaining UX consistency. The solution needed to balance artistic design with technical feasibility and address legal/technical challenges in map data caching.

About the Client

A social media startup targeting Generation Z, combining travel exploration with peer-to-peer recommendations and map-based experiences.

Key Project Goals

Develop a scalable MVP for iOS and backend systems
Create an intuitive, visually appealing UX for millennial users
Implement map-based peer-to-peer recommendation functionality
Integrate analytics for data-driven decision-making
Ensure technical debt management for future scaling

Core System Functionalities

Fast account creation via email/social platforms
Real-time activity feed with follower interactions
Location-based personalized content recommendations
Map-driven exploration of Points of Interest
In-app notifications for user engagement
User-generated mini-guides for city attractions
Content reporting and moderation system

Technology Stack

Swift (iOS development)

Node.js with Nest.js framework (backend)

PostgreSQL with PostGIS extension

AWS ECS for containerization

Firebase Analytics and Google Analytics

External System Integrations

Map providers (e.g., Google Maps, Apple Maps)
Social media authentication (Facebook, Google, Apple)
AWS Personalize for recommendation engine
Third-party analytics platforms

Non-Functional Requirements

High scalability for global user base
Low-latency geospatial data processing
Robust security for user data and authentication
Cross-platform compatibility for iOS and backend
Modular architecture for future microservices

Expected Business Impact

The solution is expected to reduce user registration drop-off by 6.5%, increase user retention through personalized recommendations, and enable rapid feature iteration via modular architecture. Scalability improvements will support global expansion to major cultural centers, while analytics integration will drive data-informed product optimization.