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Creator Discovery Platform
About The Project
About The Project
Art&Found is a minimal, text-focused creator discovery platform designed to help users find designers, artists, and creators based on skill, style, profession, and location. The platform delivers fast, intuitive, and relevant search results through a MongoDB Hybrid Search pipeline enhanced with Reciprocal Rank Fusion (RRF).
The project was developed using an AI-assisted development workflow, where AI supported code generation, architecture decisions, frontend implementation, and backend logic translation from UI designs into functional features.
The result is a clean, lightweight, highly optimized web application built for real-time discovery.
Client Requirements
A modern creator discovery system
Users should be able to instantly find creators with searches like:
“graphic designer in mumbai for brand identity in minimalist style”
“motion designer in melbourne specializing in 3d animation”
“underwater cinematographer in philippines for tourism ad film”
A creator onboarding system
Creators can set up a clean structured profile including:
Primary username/handle
Social links
Profession
Location
Skills (list)
Keywords describing their content
Content categories
Visitors can search for creators instantly using natural language or keyword-based queries.
The system must support
Fast API responses
Minimalistic UI
Mobile-first design
Secure login and OTP authentication
Include essential public pages
Home
About
Privacy Policy
Terms of Service
Secure authentication
Gmail option
Email OTP login
JWT-based session management
A fast, SEO-friendly, responsive user experience
Accessible across mobile, tablet, and desktop. Enable creators to manage their profiles easily with a guided onboarding experience.
Our Solution
Jhavtech Studios designed and built a complete digital ecosystem for Art&Found.
AI tools were integrated throughout the build process to accelerate and optimize development
Generating UI component code from design references
Assisting with TypeScript types & data structures
Automating repetitive API boilerplate, Refactoring backend logic for scalability
Improving UI copy and flows
Speeding up profiling, debugging, and function rewrites
AI was not used in the search engine itself—it supported the development lifecycle, ensuring faster delivery with higher consistency.
We chose Next.js for the frontend due to its:
SEO Advantages
Server-Side Rendering (SSR) ensures pages are pre-rendered for search engines
Metadata, OpenGraph, and structured data SEO optimizations
Fast page loads → improved ranking potential
Automatic search engine–friendly routing
Edge-friendly architecture for global performance
These benefits are especially critical for a discovery platform where public creator pages and informational content need to be searchable by external users and search engines.
Performance Benefits
Optimized bundle splitting
Server Components for faster loads
Image optimization
Built-in caching & revalidation
All combined to create a lightweight, high-performance platform.
The backend was built with Node.js + TypeScript, providing:
Fast, event-driven architecture
Strong typing for maintainability
Modular, scalable code
Clean REST API structure
The backend exposes RESTful APIs for:
Authentication
Profile creation
Search queries
We implemented a Hybrid Search model combining:
Keyword search
Semantic relevance signals
Custom boosted fields (profession, location, skills)
Reciprocal Rank Fusion (RRF)
RRF merges and re-ranks results from multiple search pipelines by combining:
Keyword match score
Vector similarity
Field-weighted metadata match
This produced dramatically improved search quality—especially for broad or ambiguous queries.
The UI approach was:
Text-first
Minimalist
Zero visual clutter
Designed to make content readable and scannable
This allowed users to focus purely on what matters: discovering creators quickly.
Design Process
Discovery & Research
We explored:
Target creator categories
Search behavior of users
Minimalistic web design patterns
Information hierarchy and readability
Information Architecture & Wireframing
Home → Login → Profile Setup → Search → Results
A simple flow with clear action items
Wireframes focused on layout clarity
Visual Design
We developed a visual system based on:
Monochrome palette
Strong typography
Generous spacing
Reduced visual noise
The entire design system mirrors Art&Found’s identity—clean, bold, minimal.
Development Process
Discovery & Requirements
- Workshops, requirement analysis, and feature documentation
- System architecture and technology stack finalization
UI/UX Design
- Wireframes and high-fidelity mockups
- Optimized flows for onboarding, preferences, and chat
AI-Supported Architecture & Coding
AI tools were used to:
- Translate UI mockups into React components
- Auto-generate form validators
- Create TypeScript interfaces
- Assist with routing and SSR logic
- Recommend optimization strategies
Next.js Frontend Development
Built with:
- Server Components
- App Router
- Reusable UI blocks
- Controlled form flows
- Minimal CSS + Tailwind
Backend Development
Backend system builds with Node.js API with TypeScript and includes:
- Database architecture design
- Secure OTP authentication and user management
- Creator profile APIs
- Search aggregation endpoints
- Input sanitization & validation
MongoDB Search Pipeline
Hybrid search using:
- Text indexes
- Embeddings
- Scoring boosts
- Reciprocal Rank Fusion (RRF) for final ranking
Testing & QA
- Responsiveness testing
- Search ranking evaluation
- Security and vulnerability checks
Deployment
- Cloud deployment of frontend and backend applications.
Key Features
A comprehensive platform built with cutting-edge technology, minimal design philosophy, and user-centric features for seamless creator discovery.
Hybrid Search with RRF Ranking
Keyword + vector hybrid search with accurate and relevant creator suggestions. Multi-signal ranking unified via RRF for optimal results.
- Keyword + vector hybrid search
- Accurate and relevant creator suggestions
- Multi-signal ranking unified via RRF
Creator Onboarding
Guided profile setup with comprehensive fields including username, profession, skills, keywords, social links, and location.
- Username
- Profession
- Skills
- Keywords
- Social links
- Location
Simple, Minimal UI
Clean typography with zero distraction. Pure black-and-white aesthetic designed for maximum clarity and focus.
- Clean typography
- Zero distraction
- Black-and-white aesthetic
Secure Login
- Gmail login
- Email-based OTP authentication
Search Results Page
- Creator bios
- Specializations
- Style keywords
- Pagination system
Informational Pages
- About
- Privacy Policy
- Terms & Conditions
Fully Responsive Design
Optimized for all screen sizes with adaptive layouts ensuring seamless experience across desktop, tablet, and mobile devices.
- Optimized for all screen sizes.
Technology Stack
Frontend
Tailwind CSS
Next.Js
TypeScript
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Backend
Node.Js
Express.Js
TypeScript
Database
MongoDB Atlas
Hybrid Search + Vector Search
RRF merging
Tools & IDE
VS Code
AI-assisted coding tools
Conclusion
Art&Found demonstrates how minimal design, modern web architecture, and optimized hybrid search can come together to create an elegant and effective creator discovery platform.
By using AI as a development accelerator, Next.js for SEO, and MongoDB Hybrid Search with RRF ranking, we delivered a robust system that is fast, responsive, and highly intuitive to use.
See it in Action
