I built Vynix, a cross-platform mobile app (iOS/Android) that aggregates 100+ AI models into a single interface. Instead of switching between different AI apps, you get image generation, video creation, TTS, music generation, and LLM chat all in one place.
Tech stack:
- Kotlin Multiplatform + Compose Multiplatform (shared UI across iOS & Android)
- Firebase (Auth, Firestore, Cloud Functions)
- Backend proxies to Replicate and fal.ai APIs
- Credit-based system — no subscriptions required
The app adds new models within days of their public availability. Currently includes models for:
- Text-to-image (multiple styles: photorealistic, anime, digital art)
- Text-to-video and image-to-video
- Text-to-speech (50+ voice options)
- AI music generation
- LLM chat (multi-modal)
Free to try — you get 40 credits on signup + daily free credits.
Tech stack: - Kotlin Multiplatform + Compose Multiplatform (shared UI across iOS & Android) - Firebase (Auth, Firestore, Cloud Functions) - Backend proxies to Replicate and fal.ai APIs - Credit-based system — no subscriptions required
The app adds new models within days of their public availability. Currently includes models for: - Text-to-image (multiple styles: photorealistic, anime, digital art) - Text-to-video and image-to-video - Text-to-speech (50+ voice options) - AI music generation - LLM chat (multi-modal)
Free to try — you get 40 credits on signup + daily free credits.
Website: https://vynix.app
Happy to answer questions about the KMP architecture, the API aggregation approach, or anything else.