Technology Stack

Our modern cloud-native architecture powering AI-driven product reviews and intelligent recommendations.

🏗️ Architecture Overview

Cloud Architecture Diagram — Frontend (Next.js) → API Gateway → AWS Lambda → DynamoDB → AI/ML (Comprehend + SageMaker)

🖥️ Frontend — Next.js (SSR/ISR)

We use Next.js with Server-Side Rendering (SSR) and Incremental Static Regeneration (ISR) to deliver blazing-fast, SEO-optimized pages.

  • SSR ensures search engines fully index every product review and comparison page
  • ISR keeps content fresh — pages regenerate automatically when new reviews or deals are published
  • React-based component architecture enables rich, interactive UI (comparison tables, dynamic filters, rating widgets)
  • Optimized Core Web Vitals for top search rankings

⚙️ Backend — Serverless Architecture (AWS Lambda + API Gateway)

Our backend runs 100% serverless on AWS, eliminating infrastructure overhead and scaling automatically with traffic.

  • AWS Lambda handles all business logic — review processing, affiliate link tracking, user analytics events
  • Amazon API Gateway provides secure, scalable REST APIs with built-in rate limiting and caching
  • Event-driven architecture processes review submissions, deal alerts, and content updates asynchronously
  • Zero idle costs — we only pay for what we use, making it ideal for a startup

🤖 AI/ML — Amazon Comprehend & SageMaker

We leverage AWS AI/ML services to analyze user behavior and deliver dynamic, personalized content.

  • Amazon Comprehend performs sentiment analysis on product reviews, automatically extracting key phrases, pros/cons, and user sentiment scores
  • Amazon SageMaker powers our recommendation engine — predicting which products and deals are most relevant to each visitor based on browsing patterns
  • Dynamic Content Personalization — homepage, product rankings, and deal highlights adapt in real-time to user preferences
  • Continuous model training with new review data for ever-improving accuracy

🗄️ Database — Amazon DynamoDB

DynamoDB serves as our primary data store for user analytics and real-time metrics.

  • Single-digit millisecond latency for reading/writing user interaction events (page views, clicks, time-on-page)
  • Auto-scaling handles traffic spikes during product launches and deal events
  • Stores user behavior analytics — click patterns, search queries, conversion funnels — powering our AI/ML personalization
  • Global Tables for multi-region low-latency access as we scale internationally
  • Cost-efficient with on-demand capacity mode — perfect for unpredictable startup traffic