Building an AI wellness iOS app with SwiftUI, GPT & ElevenLabs voice
What it takes to hire for an AI wellness product: conversational GPT flows, ElevenLabs voice, personalized journeys, Firebase, GCP, RevenueCat, and App Store launch.
Guides on Mixpanel and mobile analytics, plus notes on AI-powered products and backend systems.

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Freelance guide to shipping AI media apps: multi-model integrations (OpenAI, Kling, Seedance), Node.js APIs, Firebase, admin dashboards, subscriptions, and Google Cloud—what founders should plan for.
What it takes to hire for an AI wellness product: conversational GPT flows, ElevenLabs voice, personalized journeys, Firebase, GCP, RevenueCat, and App Store launch.
Hiring guide for Screen Time productivity apps: app blocking, focus modes, SwiftUI architecture, Apple entitlements, Firebase, RevenueCat, Mixpanel, and App Store review tips.
Product analytics for mobile teams: SDK setup, event taxonomy, funnels, retention, and revenue tracking on iOS and Android — without polluting your codebase.
Step-by-step patterns for Mixpanel on iOS: SDK install, typed event helpers, identity, super properties, and App Store–safe tracking.
Mixpanel on Android with Kotlin: Gradle setup, lifecycle-safe tracking, identity, ProGuard rules, and feature parity with your iOS event schema.
Hire for AI keyboard apps: extension architecture, LLM integration, secure backend proxy, Firebase, and App Store constraints for keyboard products.
How to ship fitness apps with live camera rep counting, Vision/Core ML, Firebase leaderboards, and engagement loops—what to budget when hiring an iOS developer.
Freelance iOS audio development: batch conversion, multi-channel pipelines, waveform UI, and metadata export for pro workflows—without blocking the main thread.
Hiring for social mobile games: Firestore state, Cloud Functions, live voting, RevenueCat subscriptions, AdMob, and scalable room-based architecture.
What founders need from a ride-hailing or logistics iOS app: live tracking, Socket.IO, Google Maps, PayPal payments, and reliable updates on poor networks.
How to connect Python backends and LLM APIs to native iOS apps—architecture patterns, latency, and what to ship first. Ideal for founders hiring full-stack AI mobile help.
Using FastAPI for mobile app backends: auth, validation, rate limiting, and patterns that work well with iOS and Android clients—hire-ready architecture notes.
Scoping AI-powered products that can grow from MVP to production without a full rewrite—for founders planning hire vs. build.