SpecGauge was a product comparison and price-forecasting web app that helped users compare cars, phones, electronics, and other products side-by-side using scraped specification data and projected future pricing.
The project also grew into a content-driven product experiment through @SpecGauge on Instagram, reaching 20,000+ followers through short-form videos generated with a custom video automation pipeline.
- Instagram: @SpecGauge
- Backend Repository: SpecGauge-Firebase
- Web Scraper Repository: Web-Scraping
- Short-Form Video Automator: Short-Form-Video-Automator
SpecGauge.Demo.mp4
- Side-by-side product comparison interface for cars, phones, electronics, and other products
- Future price forecasting tool for estimating long-term product value trends
- Web-scraped product specification database
- Firebase/Firestore-backed data storage and retrieval
- Interactive charts and visualizations for price projections
- Search and comparison flows for browsing large product datasets
- Compressed JSON/data tooling for handling large scraped datasets efficiently
- Social media growth pipeline connected to product-generated short-form content
- Custom short-form video automator used to generate viral comparison/price prediction videos
- Frontend: React, Vite, JavaScript
- Backend/Database: Firebase, Firestore
- Data Processing: Custom web scraping pipeline, compressed JSON tooling
- Built a full-stack product comparison platform with React, Firebase, and Firestore.
- Created a custom web scraper to build a structured product specification database.
- Developed a price forecasting system to visualize projected product value over time.
- Built a short-form video automation tool that generated comparison and price prediction videos for social media.
- Grew the SpecGauge Instagram page to 20,000+ followers using automated short-form product content.
- Designed the project as both a software platform and growth experiment, combining web development, data collection, forecasting, and social media distribution.
Some features may not work as originally deployed because:
- Firebase authentication and cloud-saving functionality are deprected
- Backend logic is stored separately in the SpecGauge-Firebase repository
- Web scraping and video automation tools are stored in separate repositories
- The original production environment is no longer maintained
If you would like to use all of the cloud features, start a new firebase project using the backend repo and hook it up.
- Clone the repository
- Install dependencies:
- Start the development server
- Open the local Vite URL in your browser.
- Restore or replace Firebase configuration if you want backend features to work.
Backend code and Firebase-related functionality for SpecGauge.
https://github.com/RiddhRam/SpecGauge-Firebase
Custom scraping pipeline used to collect and structure product specification data.
https://github.com/RiddhRam/Web-Scraping
Automation tool used to generate short-form product comparison and price prediction videos for social media growth.