Superlocal
Superlocal is an AI-powered local discovery platform connecting users with nearby events and services through personalized recommendations and an intuitive map interface.
Client
Superlocal
Type
Front-End Development
Date
7 weeks
Services
Project Overview
Build an AI-powered local discovery platform that reduces information overload through intelligent personalization. Develop a recommendation engine that suggests familiar interests while introducing 30% new experiences to encourage exploration. Create a map-first interface with community-driven content verification, achieving 85% user engagement through relevant, timely local information.
Problem & Context
Users struggle to discover local events and services relevant to their interests. Existing solutions show everything indiscriminately, leading to information overload and missed opportunities in their community.
Target Audience: Active community members, event organizers, local business owners, and people looking to connect with their neighborhood.
Research & Discovery
- •Surveyed 200+ users about local discovery habits and pain points
- •Analyzed competitor platforms to identify gaps in personalization
- •Created wireframes and mockups in Figma for the map-first interface
- •Tested AI recommendation algorithms with diverse user groups
Development Process
Designed complete UI/UX in Figma, focusing on a map-first interface with intuitive filtering. Created wireframes and high-fidelity prototypes for the AI-powered recommendation system. Developed responsive frontend using React and TailwindCSS, implementing modern design patterns and seamless user experience.
Key Features
AI-Powered Discovery
Smart recommendations based on your interests, past activities, and location patterns
Interactive Map View
Visual exploration of local events and services with real-time updates and filtering
Community Hub
Connect with local businesses and event organizers to stay informed about what's happening nearby
Challenges & Solutions
Balancing personalization with discovery
Created hybrid recommendation engine that suggests familiar interests while introducing 30% new experiences
Ensuring data freshness in real-time
Integrated multiple data sources with automated verification and community-driven updates
Technologies Used
Results & Impact
Superlocal successfully delivers a personalized local exploration experience, enabling users to connect with their communities through an intuitive and engaging interface.
Key Learnings
- •Personalization increases engagement but must include serendipitous discovery
- •Map-based interfaces need careful information architecture to avoid visual clutter
- •Community-driven content requires strong moderation and incentive systems