what is go-eazy fr?

GoEazy is a real estate web application built to help students and working professionals in Uttarakhand, India find housing, specifically in the cities of Dehradun and Srinagar. The README describes the goal as connecting landlords and renters directly, cutting out brokers who often control access to listings and hide the real condition or price of a room. Renters can search and filter listings in real time, view property photo galleries built with a slider component, and switch between a compact list view and a larger grid view of results. Landlords get a separate dashboard where they publish listings, and going live with a new listing costs a fixed fee of 199 rupees, paid through Razorpay and verified on the server before the listing is created. Landlords can also see basic view and profile analytics for their listings. There is a separate admin panel for platform staff that reviews and verifies documents from local service providers and shows overall metrics like user and property counts. On the technical side, the frontend is built with React 19, the Vite build tool, Tailwind CSS for styling, and Framer Motion for animations. The backend runs on Supabase, using its Postgres database, authentication system, and Edge Functions, with Row Level Security policies restricting each user to only their own data. Property creation happens through a server side function that checks the Razorpay payment signature before writing anything to the database, rather than allowing the client to create listings directly. The README also lists several measures meant to make it harder to copy content from the site, including disabling text selection, right click, image dragging, and browser developer tools shortcuts. A rolling 72 hour window automatically prunes old "recently viewed" records from the database to keep it from growing indefinitely. The project began as a hackathon submission and has since gone through several versioned releases adding features like a mandatory sign in step before viewing search results, an onboarding flow for new users, and a property review and ratings system.