WashBuddy is a car wash discovery and comparison platform I designed and built end to end. It closes a real gap in local search, which is that Google Maps will tell you where a car wash is but not what a specific wash package costs, what equipment it runs, or whether the self service bays are worth the drive. WashBuddy structures that data and makes it filterable.

The consumer side is a location first search experience. Users detect their location or enter a ZIP code and get nearby washes with per package pricing, wash type, photos, and filters built around the things that actually differentiate a wash, meaning package tiers, chemicals, and equipment rather than generic business categories. The marketing site runs on Astro for static performance and SEO, and the application itself is a separate Next.js front end against a Django API.

The other half of the product is an operator portal. Car wash owners claim their listing, publish verified pricing, upload photos, and manage offers themselves. That side needed a claim and verification flow, role based access, and a data model that keeps operator submitted pricing distinct from crowd sourced data so the two never silently overwrite each other.

Reviews, a rewards layer, and a standalone mobile build are in progress.