Rental Insight Pro
Austin Airbnb Analytics

A comprehensive case study showcasing advanced analytics for Austin's Airbnb market. Built with Next.js 15, tRPC, Supabase, and modern web technologies to deliver unparalleled insights into rental property performance.

Predict Your Airbnb Nightly Rate

Use our AI-powered predictor to estimate optimal pricing for your Austin property. Get data-driven insights based on 7,000+ listings and advanced market analytics.

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Technical Excellence

Built with cutting-edge technologies and best practices for performance, scalability, and developer experience

Next.js 15 & Static Routes

Leveraging App Router with static generation for optimal performance. Routes compiled at build time for instant loading and superior SEO.

tRPC & Advanced Filtering

Type-safe API layer with tRPC enabling complex dashboard queries. Real-time filtering across price, location, ratings, and amenities.

Supabase & PostgreSQL

Serverless PostgreSQL database with real-time subscriptions. Drizzle ORM for type-safe database operations and migrations.

Static Image Optimization

Automatic optimization of remote Airbnb images. WebP conversion, responsive sizing, and lazy loading for optimal performance.

Vercel Deployment

Global CDN distribution with edge functions. Automatic scaling, preview deployments, and analytics integration.

Interactive Maps & Charts

Leaflet-powered interactive maps with clustering. Real-time data visualization with custom charts and filtering capabilities.

Deep Dive: Technical Implementation

Static Site Generation & Performance

Our featured listings page demonstrates Next.js 15's static generation capabilities. All data is fetched at build time using server components, resulting in pre-rendered HTML that loads instantly. This approach eliminates database queries on the client-side for static content while maintaining dynamic capabilities where needed.

export const dynamic = "force-static";

export default async function FeaturedPage() {
  const listings = await getTopRatedListings(6);
  // Data fetched at build time, cached as static HTML
}

tRPC for Type-Safe APIs

tRPC provides end-to-end type safety between frontend and backend. Our dashboard uses complex filtering logic that benefits from automatic type inference. The filtering system supports multiple criteria including price ranges, locations, property types, and host characteristics.

// Type-safe API with automatic inference
const { data } = trpc.listings.getFiltered.useQuery({
  filters: {
    minPrice: 100,
    maxPrice: 500,
    propertyTypes: ['Apartment', 'House']
  }
});

Image Optimization Pipeline

Remote Airbnb images are automatically optimized using Next.js Image component. Images are converted to WebP format, resized responsively, and served via CDN. This reduces bandwidth by up to 70% while maintaining visual quality.

<Image
  src="https://a0.muscache.com/remote-image.jpg"
  alt="Listing"
  width={388}
  height={388}
  className="rounded-lg"
/>

Database Architecture

Supabase provides a PostgreSQL database with real-time capabilities. Drizzle ORM ensures type-safe queries and migrations. The schema includes comprehensive listing data with relationships for hosts, reviews, and location information.

export const listings = pgTable("listings", {
  id: serial("id").primaryKey(),
  name: text("name").notNull(),
  price: integer("price").notNull(),
  // ... comprehensive schema
});

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