37spots.com: The Future of E-Commerce Search Perplexity Hackathon Submission
1) What is the Project? Description: 37spots.com is an AI-driven global shopping directory that reimagines e-commerce search. It allows users and influencers to upload photos, “spot” shoppable products, and discover detailed product and brand information automatically extracted using advanced AI tools like Perplexity Sonar. This system turns unstructured product data across thousands of websites into a unified, searchable catalog.
Technologies:
Frontend: React, Vite, Tailwind CSS Backend: Node.js, Express, PostgreSQL AI & APIs: Perplexity Sonar API, Clarifai, embedding vectors, image analysis models Infrastructure: Docker, Redis, HAProxy, Cloud Storage Key Features: ✅ Upload and spot products in photos ✅ Automatic extraction of product details (name, price, description, features) ✅ Advanced photo analysis (objects, faces, colors, concepts) ✅ Rich brand profiles with warranty, sustainability, and shipping info ✅ Flexible, conversational search with advanced filters ✅ Influencer platform with affiliate tracking (in progress) ✅ Dynamic collections for intuitive browsing
Demo/Preview: Visit Live Demo https://37spots.com Screenshots can be added here once available
2)
Why Does This Project Exist? Motivation: Traditional e-commerce search engines and even big marketplaces struggle to unify product discovery across the global web. With unstructured, scattered data, users face frustration in finding the exact products they want. 37spots leverages modern AI to solve this long-standing problem.
Use Cases:
Shoppers looking to discover products by photo or aesthetic Influencers tagging products in their content Brands seeking a unified discovery platform Researchers analyzing global product trends Goals:
Create a seamless, AI-powered product discovery engine Build the world’s richest brand and product directory Enable new monetization paths for influencers Lay groundwork for future blockchain integration (affiliate payments, ownership)
3) Who is the Target Audience? Primary Users:
Consumers interested in visual, photo-driven shopping Influencers wanting to monetize content without personal sites Brands wanting exposure and fresh discovery channels Developers and researchers curious about AI-driven search
4) Contributors Currently a solo project, but open to:
Developers (Node.js, React, AI integrations) Designers (UI/UX) Data scientists (recommendation systems, embeddings) Documentation writers Assumptions: Some familiarity with modern web stacks (Node.js, React) is useful if contributing.
Thank you for checking out 37spots!
Log in or sign up for Devpost to join the conversation.