Work / AI · Social

Project Nova: an AI-powered social discovery platform

A multi-platform community product for the UK, built to launch and engineered to grow: native iOS and Android apps, a web platform and one shared backend.

3Client apps on one backend
20+Product modules
EN / AREnglish and Arabic

The challenge

Project Nova needed more than a fixed-feature MVP: a community product for iOS, Android and the web, with AI-assisted discovery, messaging and trust and safety, on a foundation that could keep growing after launch.

What we built

Project Nova was engineered as a multi-platform community ecosystem combining AI-assisted discovery, experience sharing, reputation, messaging, location-aware experiences, analytics, and trust and safety. The engineering foundation includes modular business domains, real-time messaging, content publishing workflows, moderation tools, behavioural analytics, English and Arabic localization, QA validation, regression testing, production releases and performance monitoring.

The result

A scalable product foundation designed for continuous product evolution rather than a fixed-feature MVP. The platform connects three client applications, more than 20 product modules and 7+ core business domains on one shared backend platform.

Built with. Native mobile, a modern web platform and one shared backend.

Native iOS and Android

Mobile apps for both platforms.

React and Next.js

The web platform.

Ruby on Rails

One shared backend serving all three apps.

PostgreSQL and Redis

Product data and fast, real-time features.

Firebase and AWS

Cloud infrastructure and app services.

Amplitude

Product and behavioural analytics.

At a glance.

Native iOS and Android apps plus a React and Next.js web platform

20+ product modules across 7+ core business domains

AI-assisted recommendations, real-time messaging and location-aware discovery

Trust and safety, moderation tools and product analytics

English and Arabic localization

Planning a product for mobile and web?

Ready to turn your vision into reality?

Tell us the problem, the data, and where manual effort sits today. We'll map the path from MVP to scale.

Or email contact@avinyalabs.co

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