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Fyrebit – HackWave
πŸ† Hackathon WinnerNext.jsReactJavaScript (ES6+)+5 more

Fyrebit – HackWave

Hackathon-winning fashion web scraping platform with an integrated social media experience.

Timeline

Hackathon (48 Hours)

Role

Full Stack Developer

Team

Team Project

Status
πŸ† Hackathon Winner

Technology Stack

Next.js
React
JavaScript (ES6+)
Puppeteer
Node.js
Tailwind CSS
Headless Chrome
Modern UI/UX

Key Challenges

  • Dynamic Web Scraping
  • Handling JS-heavy Fashion Websites
  • UI Performance with Large Datasets
  • Social Media Feature Integration
  • Time-bound Hackathon Development

Key Learnings

  • Advanced Puppeteer Scraping Techniques
  • Handling Dynamic DOM & Lazy Loading
  • Designing Product-first UIs
  • Integrating Social Features in Web Apps
  • Rapid Prototyping Under Pressure

πŸ† Fyrebit – HackWave

Hackathon-Winning Fashion Discovery Platform

Overview

Fyrebit – HackWave is a hackathon-winning web platform that combines real-time fashion web scraping with a fully integrated social media application.

The project was built to go beyond traditional scrapers by focusing on product thinking, visual design, and user engagement β€” which ultimately led to it winning the hackathon.


πŸ₯‡ Hackathon Achievement

  • Winner – HackWave Hackathon
  • Recognized for innovation, UI/UX excellence, and product vision
  • Praised for turning raw scraped data into a social-first experience

🌟 Key Highlights

  • πŸ† Hackathon Winner
  • Real-time fashion scraping using Puppeteer
  • Next.js-powered fast & responsive UI
  • Full social media experience inside the platform
  • Product-first approach with premium UI/UX
  • Built end-to-end under extreme time constraints

🧠 Core Concept

Most fashion scrapers focus only on data extraction.

Fyrebit reimagines this by:

  1. Scraping fashion data from dynamic websites
  2. Structuring it into visually appealing cards
  3. Converting scraped items into shareable social posts

This approach turns fashion discovery into a community-driven experience.


πŸ•·οΈ Web Scraping Engine

Puppeteer-based Scraping

  • Uses headless Chrome to handle JavaScript-heavy sites
  • Supports lazy-loaded content and dynamic DOM updates
  • Extracts:
    • Product names
    • Images
    • Pricing
    • Trend metadata

The scraped data flows directly into the UI and social feed.


🎨 UI & UX Design

UI was a key judging factor and one of Fyrebit’s strongest aspects.

Design Focus

  • Fashion-inspired layouts
  • Clean typography and spacing
  • Smooth animations and hover effects
  • Fully responsive, mobile-first design

The platform intentionally feels like a premium fashion social app, not a scraper tool.


πŸ‘₯ Social Media Integration

Fyrebit includes a native social layer, allowing users to:

  • Post fashion discoveries
  • Share scraped products
  • Like, comment, and engage
  • Discover trends through community activity

This feature played a major role in the project’s hackathon win.


🧩 Architecture & Flow

Frontend

  • Built with Next.js
  • Component-driven UI architecture
  • Tailwind CSS for rapid styling
  • Optimized rendering for performance

Backend Logic

  • Lightweight Node.js setup
  • Puppeteer scripts for scraping
  • Efficient data flow from scraper β†’ UI β†’ social feed

πŸ† Why It Won

  • Combined technical depth + product thinking
  • Exceptional UI/UX compared to typical hackathon projects
  • Clear real-world use case
  • Seamless integration of scraping and social interaction
  • Polished, demo-ready product within limited time

πŸš€ Future Enhancements

  • User authentication & profiles
  • AI-powered trend detection
  • Saved collections & wishlists
  • Influencer & creator pages
  • Multi-source scraping expansion

πŸ“Œ Final Takeaway

Fyrebit – HackWave proves that hackathon projects don’t have to feel rushed or incomplete.

By blending Puppeteer-based scraping, Next.js performance, and a social-first product mindset, the project stood out β€” and won the hackathon.


Built under pressure. Designed like a product. Delivered like a winner. πŸ†πŸ”₯

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