RigScouter-AI is an autonomous PC hardware deal intelligence platform engineered to eliminate manual price searching, deceptive retailer "sales", and missed flash drops.
By unifying multi-retailer web scrapers, a real-time Server-Sent Events (SSE) deal radar, quantitative AI deal scoring, and automated daily digests, RigScouter-AI helps gamers and PC builders pinpoint verified historical lows and secure optimal component pricing across major hardware retailers.
- Live price drops and newly scouted discounts streamed directly to your browser via Server-Sent Events (SSE).
- Visual flash badges indicate instantaneous price drops and newly verified deals without manual page refreshes.
- Continuously tracks live hardware inventory and pricing across Amazon and eBay, with dedicated scraper pipelines rolling out for Micro Center, Newegg, Best Buy, and B&H Photo.
- Automatic canonical normalization transforms brand-specific partner SKUs (e.g. ASUS Dual, MSI Ventus, Gigabyte Gaming OC) into base canonical silicon models (e.g. GeForce RTX 4070 Super).
- Cuts through manufactured discounts by analyzing:
- Variance against official manufacturer MSRP.
- Delta against 90-day rolling lowest price floors.
- Cross-retailer pricing spreads.
- Stock availability and historical pricing volatility.
- Enter your total budget, primary use case (Gaming, Productivity, Streaming, Balanced), and target resolution (1080p, 1440p, 4K).
- Groq-powered AI engine recommends compatible component configurations while evaluating estimated system wattage, socket compatibility, and bottleneck margins.
- User authentication and persistent hardware watchlists secured by Supabase Row-Level Security (RLS).
- Set custom target price thresholds per component; the engine arms automated triggers the moment market prices drop below your threshold.
- Direct database query optimization provides instant sub-20ms dashboard loads.
- Automated scheduled digests dispatched directly to your Email (via Resend) or Discord webhook.
- Highlights biggest 24-hour drops, 7-day trends, 30-day deltas, and All-Time Low (ATL) milestones with AI-generated executive summaries and cost-saving alternative recommendations.
RigScouter-AI applies an objective, algorithmic deal scoring formula to help you distinguish genuine deals from artificial discounts:
| Score | Tier | Description | Action |
|---|---|---|---|
| 90 – 100 | 🔥 Epic Deal | All-time low or deep price drop below 90-day floor. | Immediate Buy |
| 80 – 89 | ⚡ Great Deal | Significantly below average market price and MSRP. | Strong Value |
| 65 – 79 | ⚖️ Fair Price | Standard retail pricing near normal MSRP. | Hold / Monitor |
| < 65 | Above MSRP, scalped, or low price-to-performance ratio. | Avoid |
RigScouter-AI operates as a high-performance modern decoupled system:
graph TD
subgraph Client["Next.js 15 Frontend"]
UI["Landing & Features UI"]
DASH["User Dashboard"]
RADAR["Deal Radar (SSE Stream)"]
WATCH["Watchlist Manager (RLS)"]
BUILDER["AI Rig Builder"]
end
subgraph BackendAPI["Next.js Edge & Node API Routes"]
CRON["/api/cron/* (Digest & Price Sync)"]
SCRAPE_API["/api/scrape & /api/search"]
NOTIF["/api/notifications/*"]
end
subgraph DataEngine["Backend Scraping & Intelligence Daemon"]
SERVER["Python / FastAPI Backend"]
SCRAPERS["Multi-Retailer Scrapers\n(Amazon, eBay, Newegg, Micro Center)"]
POOLER["Database Connection Pooler"]
end
subgraph ExternalServices["Cloud Infrastructure & APIs"]
SUPABASE[("Supabase PostgreSQL\n+ Row Level Security (RLS)")]
GROQ["Groq LLM Engine\n(Fast Inference)"]
TAVILY["Tavily Search API"]
RESEND["Resend Email Service"]
DISCORD["Discord Webhooks"]
end
Client --> BackendAPI
RADAR <-->|SSE Stream| SERVER
SERVER --> SCRAPERS
SCRAPERS --> POOLER
POOLER --> SUPABASE
BackendAPI --> SUPABASE
BackendAPI --> GROQ
BackendAPI --> TAVILY
CRON --> RESEND
CRON --> DISCORD
- Framework: Next.js 15 (App Router)
- Language: TypeScript
- Styling: Tailwind CSS
- Database & Auth: Supabase (PostgreSQL with RLS)
- ORM: Prisma (
@prisma/client,@prisma/adapter-pg) - AI / LLM: Groq SDK (Llama 3 / Mixtral for instant digest generation & compatibility checks)
- Scraping & Discovery: Tavily & Custom Scraping Engine
- Notifications: Resend & Discord Webhooks
- Edge Deployment: Cloudflare Pages /
@cloudflare/next-on-pages& Wrangler
RigScouter-AI/
├── public/ # Static assets and favicons
│ ├── logo.png # RigScouter-AI brand logo
│ ├── favicon.ico # Multi-resolution favicon
│ ├── favicon.png # 32x32 standard favicon
│ ├── icon-192.png # Web app icon (192x192)
│ └── icon-512.png # Web app icon (512x512)
├── src/
│ ├── app/ # Next.js App Router
│ │ ├── api/ # API routes (scrape, notifications, cron, components)
│ │ ├── dashboard/ # Watchlist & Deal Digest dashboard
│ │ ├── features/ # In-depth architectural feature showcase
│ │ ├── layout.tsx # Root layout & meta tags
│ │ ├── page.tsx # Interactive landing page & deal preview
│ │ └── globals.css # Global styling & custom themes
│ ├── components/ # Reusable React components
│ │ ├── DealRadar.tsx # Live SSE real-time price drop feed
│ │ ├── WatchlistManager.tsx# Watchlist CRUD with target price triggers
│ │ ├── DailyDigestPreview.tsx # AI digest viewer & frequency selector
│ │ ├── RigBuilderChat.tsx # Interactive AI PC assembly & wattage checker
│ │ └── AuthModal.tsx # Supabase email sign-in / registration
│ └── lib/ # Core utilities & services
│ ├── ai/ # Compatibility checker & digest generator
│ ├── db/ # Supabase client, admin client, & Prisma setup
│ ├── scrapers/ # Live scrapers & trending hardware engines
│ └── types/ # Hardware TypeScript interfaces & schemas
├── prisma/
│ └── schema.prisma # Prisma data models (HardwareComponent, WatchlistItem, DailyDigest)
├── supabase/ # Supabase configuration & cron keep-alive SQL
└── wrangler.jsonc # Cloudflare Pages deployment configuration
Contributions, issues, and feature requests are welcome! Feel free to open an issue or submit a pull request:
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
This project is open-source and licensed under the MIT License.