I independently developed and launched a mobile application from scratch — from idea to Google Play Market.
What's inside:
#Flutter #Dart #CloudflareWorkers #Firebase #Firestore #AI #OpenAI #GPT #MobileApp #FullStack #Android #Kotlin #TypeScript #REST #Figma
Architecture: — Flutter 3.44 (Dart) — client: UI/UX, collage generation, credit management, push notifications — Cloudflare Workers (TypeScript) — proxy server with Firebase token verification, anti-fraud, rate-limiting, queues — Firebase (Firestore + Auth + Storage + Crashlytics + Analytics) — full backend — Integration of 3+ AI providers with real-time switching via admin panel
Key features: — AI photo analysis: scene recognition, style matching, recommended format — through multimodal LLM — Collage generation from photo input — Credit system: free / paid / daily bonus / for watching ads — Firestore Security Rules — strict server-side validation of each transaction (anti-bypass) — Admin panel in the app: user management, promo codes, newsletters, switching AI providers — In-App Purchases (Google Play Billing 8.0) — AdMob (Rewarded) with UMP consent — 4 languages (UA/RU/EN + auto-detection) — EDGE-to-EDGE, Crashlytics, App Update
Numbers: — 20+ releases on Google Play — 23+ active users in the first month — 5+ AI models integrated — 0 API key leaks (all through Cloudflare Worker)
Technical challenges solved: — Secure AI integration without key leaks through proxy on Cloudflare — Server-side verification of credit bookings in Firestore Rules (no bypass possible) — Auto-rotation of 12 API keys at rate-limit — Quick switching of AI providers through Firestore without redeploying
The app is live and working on Google Play. The code is mine, the architecture is mine, from the first line to the release.
If you need someone who can independently create an app from idea to release in the store — from client to server to DevOps — let's collaborate.
What's inside:
#Flutter #Dart #CloudflareWorkers #Firebase #Firestore #AI #OpenAI #GPT #MobileApp #FullStack #Android #Kotlin #TypeScript #REST #Figma
Architecture: — Flutter 3.44 (Dart) — client: UI/UX, collage generation, credit management, push notifications — Cloudflare Workers (TypeScript) — proxy server with Firebase token verification, anti-fraud, rate-limiting, queues — Firebase (Firestore + Auth + Storage + Crashlytics + Analytics) — full backend — Integration of 3+ AI providers with real-time switching via admin panel
Key features: — AI photo analysis: scene recognition, style matching, recommended format — through multimodal LLM — Collage generation from photo input — Credit system: free / paid / daily bonus / for watching ads — Firestore Security Rules — strict server-side validation of each transaction (anti-bypass) — Admin panel in the app: user management, promo codes, newsletters, switching AI providers — In-App Purchases (Google Play Billing 8.0) — AdMob (Rewarded) with UMP consent — 4 languages (UA/RU/EN + auto-detection) — EDGE-to-EDGE, Crashlytics, App Update
Numbers: — 20+ releases on Google Play — 23+ active users in the first month — 5+ AI models integrated — 0 API key leaks (all through Cloudflare Worker)
Technical challenges solved: — Secure AI integration without key leaks through proxy on Cloudflare — Server-side verification of credit bookings in Firestore Rules (no bypass possible) — Auto-rotation of 12 API keys at rate-limit — Quick switching of AI providers through Firestore without redeploying
The app is live and working on Google Play. The code is mine, the architecture is mine, from the first line to the release.
If you need someone who can independently create an app from idea to release in the store — from client to server to DevOps — let's collaborate.