ReelRides
- SEO
- TanStack Start
- React
- TypeScript
- Vercel
- Neon
- Drizzle
- Clerk
- PostHog
ReelRides is an SEO-focused platform built around a crawlable vehicle catalogue and booking-request flow for productions, weddings, photoshoots, and events. The product is designed to win long-tail search traffic with landing pages for makes, years, vehicle types, origin taxonomies, and use cases, while still giving users a clean path into an enquiry or booking request.
The SEO work is baked into the platform rather than layered on afterwards. The site ships crawlable catalogue and taxonomy pages, canonical URLs, alternate locale links, structured data / JSON-LD, and generated robots.txt and sitemap.xml outputs. That gives the project a strong technical SEO foundation while keeping the inventory discoverable across many different search intents.
Tech stack: the platform is built with TanStack Start, React, and TypeScript, styled with Tailwind CSS, and deployed on Vercel. Authentication is handled with Clerk. Data is stored in Postgres using Neon in hosted environments, with Drizzle ORM managing the schema and migrations. Media delivery is handled through ImageKit, and the project includes Vitest and Playwright coverage for unit, integration, and end-to-end testing.
Monitoring and operational checks: ReelRides uses PostHog for client-side analytics and pageview tracking, giving visibility into user behaviour across the marketing and catalogue flows. On the operational side, the admin area includes runtime checks for admin auth, database connectivity, and ImageKit configuration so core platform dependencies can be verified quickly. The platform also includes maintenance mode controls, basic rate limiting, and hardened security headers, which keeps the public-facing experience stable while protecting the booking and contact flows.