Property Scout Platform
Led the architectural migration of a property listing and search platform to Next.js with SSR, achieving a 25% performance improvement. Features advanced filtering, saved searches, and a design system of 40+ components shared across the organization.
Key Achievements
- Improved Lighthouse performance score from 62 to 87 (+25%)
- Reduced Largest Contentful Paint (LCP) from 3.8s to 1.9s
- Built 40+ reusable components, cutting UI dev time by 30%
- Automated performance budgets in CI/CD with Lighthouse CI
Case Study
Challenge: The legacy SPA suffered from slow initial loads and poor SEO. Users abandoned property searches when pages took over 4 seconds to render. The existing jQuery codebase made it impossible to implement server-side rendering without a full rewrite.
Approach: Migrated to Next.js with a hybrid rendering strategy — SSR for search results and listing pages (SEO-critical), static generation for marketing pages. Implemented incremental adoption by wrapping legacy components in React islands. Used code splitting and dynamic imports to keep bundle size manageable during the transition.
Lessons Learned: Incremental migration beats big-bang rewrites. By introducing React alongside jQuery first, we could ship value immediately while reducing risk. The key insight was identifying which pages needed SSR (search results) vs. which could stay client-rendered (user dashboards).
Next.jsTypeScriptTailwind CSSSSRDesign System