The Brief

Find My Shoes is a web application designed to help users discover and compare barefoot shoes through advanced search capabilities, community reviews, and detailed product information. The MVP focuses on delivering core functionality while establishing a solid foundation for future expansion.

Challenges

1. Pixel-Perfect Design

   Implementing the provided design with precise attention to detail while ensuring responsiveness across all devices.

2. Complex Database Schema Design

   Designing an efficient and flexible database schema to handle complex relationships between brands, shoes, variations, while maintaining data integrity and scalability.

3. Advanced Search Engine Implementation

   Implementing a sophisticated search solution using Elasticsearch to enable weighted keyword matching and faceted filtering across multiple product attributes.

4. Dynamic Content Management

   Creating a flexible system to handle product information, community reviews, ratings, and standalone articles through a headless CMS.

5. Search Performance

   Ensuring fast and accurate search results while managing complex filtering and sorting operations across a large product database.

6. Community Features

   Implementing user-friendly systems for community reviews, ratings.

Solutions

1. Precise Design Implementation

   Working closely with the Barefoot Strength design team, we implemented their provided designs with meticulous attention to detail, ensuring pixel-perfect accuracy while maintaining full responsiveness across all device sizes.

2. Custom Database Schema

   We architected a sophisticated database structure from scratch that efficiently manages the complex relationships between brands, shoe models, and their variations. The schema was designed to handle product relationships while optimizing query performance and maintaining data consistency.

3. Elasticsearch Integration

   We implemented Elasticsearch to power the advanced search functionality, enabling weighted keyword matching and faceted search results similar to Amazon’s filtering system.

4. Headless CMS Architecture

   We developed a headless CMS solution that manages product information, community content, and blog posts.

5. Optimized Search Experience

   The search implementation features dynamic components that work seamlessly with Elasticsearch, providing real-time filtering and sorting capabilities while maintaining optimal performance.

6. Community-Driven Features

   We developed product ratings, reviews, all integrated within the CMS for easy management and moderation.

Technologies

• Next.js
• Elasticsearch
• GraphQL
• Headless CMS
• TypeScript
• TailwindCSS