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Case study
Work / 01

Flatmatey

AI-matched flatmate finder for web and mobile, in development. Its waitlist is live.

The problem

Flatmate hunting in Indian cities runs on Facebook groups and WhatsApp forwards: unverified listings, no way to check who you’d share a home with, and hours of scrolling. Flatmatey needed a product that matches people on lifestyle and budget, and verifies every profile before anyone moves in together.

What we did

  1. 01

    Matching people on lifestyle and budget, not just location, so every suggestion is someone worth messaging.

  2. 02

    Making verification part of sign-up, so every profile in a match has been checked.

  3. 03

    Building the web app on Next.js and Node.js with MongoDB, so listings and profiles share one data model across web and mobile.

  4. 04

    Building the mobile app in React Native with Firebase for chat and notifications, so it reuses the web build’s logic.

  5. 05

    Opened a waitlist at flatmatey.com first, to gather demand before launch.

Results

Waitlist

live at flatmatey.com ahead of launch

2

apps in development: web and native mobile

flatmatey.com
Flatmatey screenshot

Stack: Next.js, TypeScript, Node.js, MongoDB, Tailwind CSS and Vercel on the web; React Native and Firebase on mobile

Next step

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