https://github.com/tonykipkemboi/5090-gpu-tracker
A project built by Anthropic Claude's Claude Code in 10 minutes at Harvard Kennedy School cafeteria.
https://github.com/tonykipkemboi/5090-gpu-tracker
Last synced: 3 months ago
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A project built by Anthropic Claude's Claude Code in 10 minutes at Harvard Kennedy School cafeteria.
- Host: GitHub
- URL: https://github.com/tonykipkemboi/5090-gpu-tracker
- Owner: tonykipkemboi
- Created: 2025-03-01T21:26:27.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-03-01T21:54:28.000Z (8 months ago)
- Last Synced: 2025-06-20T05:45:02.915Z (4 months ago)
- Language: JavaScript
- Size: 211 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NVIDIA 5090 GPU Price Tracker
## About This Project
This project was created by Tony Kipkemboi as a demonstration during his guest speaking engagement at Harvard Kennedy School. As the invited speaker, Tony built the entire application during a lunch break to showcase how AI can accelerate app development. It serves as an educational example of rapid prototyping and is not intended for production use.
A web application that monitors and tracks the prices of NVIDIA 5090 GPUs across multiple online retailers.
## Features
- Real-time price tracking from major retailers (Amazon, Newegg, Best Buy)
- Price history visualization with charts
- Price statistics (lowest, highest, average)
- Price alerts when GPUs fall below a specified price
- Mobile-responsive interface
## Getting Started
### Prerequisites
- Node.js (v14 or higher)
- npm (v6 or higher)
### Installation
1. Clone the repository
```
git clone https://github.com/yourusername/nvidia-5090-price-tracker.git
cd nvidia-5090-price-tracker
```
2. Install dependencies
```
npm install
```
3. Start the development server
```
npm run dev
```
4. Open your browser and navigate to `http://localhost:3000`
## Usage
- View current prices on the main dashboard
- Set price alerts by entering your desired price threshold
- Refresh prices manually using the refresh button
- View price history and trends on the chart
## How It Works
The application uses web scraping to collect pricing information from various retailers. The data is then processed and displayed on a user-friendly dashboard.
- **Backend**: Node.js with Express
- **Scraping**: Axios and Cheerio
- **Frontend**: HTML, CSS, JavaScript with Bootstrap and Chart.js
## Notes
- **Demo Purpose**: This application was built by Tony Kipkemboi as a rapid prototype during a lunch break while serving as a guest speaker at Harvard Kennedy School. It demonstrates AI-assisted development capabilities and showcases how quickly functional applications can be created with modern tools.
- The web scraper is configured for demonstration purposes and may require adjustments based on changes to retailer websites.
- This application is for educational purposes only. Be sure to respect the terms of service of the websites you are scraping.
- The NVIDIA RTX 5090 is a fictional GPU used for this demo (as of 2024, the latest consumer GPU is the 4090 series).
- This project serves as an example of what can be accomplished in a short time frame with AI assistance.
## License
[MIT](LICENSE)