How I Built a 10,000+ Page SEO Site with Next.js and PostgreSQL

Most broker comparison sites are pay-to-play. Rankings depend on who pays the most, not actual quality. I built BrokerRank to fix this — a transparent, data-driven comparison of 345+ trading brokers with 10,000+ pages. Here's how I did it technically. Tech Stack Next.js 16 (App Router) with TypeScript PostgreSQL (Neon) + Prisma ORM TailwindCSS v4 Vercel for hosting ISR (Incremental Static Regeneration) for SEO The Challenge: 10,000+ Unique Pages The site has: 345 broker review pages 2,400+ broker sub-pages (fees, regulation, platforms, leverage, deposit, alternatives) 6,500+ comparison pages (broker vs broker) 550+ ranking pages (best forex brokers, best by country, etc.) 300+ glossary terms 250+ guides 25 trading calculators with 60 pair sub-pages All generated from a single PostgreSQL database. Programmatic SEO Architecture Every page type follows the same pattern: // app/broker/[slug]/page.tsx export const revalidate = 86400 // 24h ISR export async function generateStaticParams() {