Case Study: SEO-Ready Job Board
A Next.js application demonstrating SEO, performance, server-side rendering, and clean API integration.
Goal
Build a realistic job board that recruiters can see as production-level work. Focus on:
- Strong SEO for discoverability
- Fast initial load with server rendering
- Dynamic content from API without client overload
- Maintainable code structure
Key Tech Decisions
Chose Next.js App Router because:
- Built-in support for server components → less JS shipped to client
- Dynamic metadata per page for SEO (title, OG tags, etc.)
- Easy parallel routes and loading/error states
- Streaming for progressive rendering on slow APIs
Tailwind for rapid, consistent styling without CSS bloat. TypeScript everywhere to catch errors early.
Challenges
Async API data handling
External job API could be slow or fail. Needed good loading UI and error fallback without blocking the page.
SEO for dynamic pages
Each job detail page needed unique title, description, OG image for social sharing.
Performance on mobile
Large lists of jobs could slow down if not optimized.
Solutions
Server Components + Suspense
Fetched data on server. Used Suspense boundaries for streaming fallbacks (skeletons while loading).
Metadata API
Generated dynamic metadata in page.tsx for each job: title, description, open graph tags.
Image optimization
next/image with sizes and lazy loading for company logos/job images.
Results
- Page loads under 2s on 3G (Lighthouse 95+ performance)
- Full SEO crawlability (no hydration issues)
- Clean separation of concerns: server vs client code
- Easy to extend (add search, filters later)