Blog
News, tutorials, and updates from the Huxly team.
How to Market a New Mobile App Before Launch
A practical pre-launch marketing plan covering positioning, landing pages, waitlists, content, beta users, app-store assets, and launch measurement.
12 min read
How to Add Analytics and Crash Reporting to a Mobile App
Learn what mobile app events to track, how to measure activation and retention, connect crashes to user impact, and protect analytics privacy.
12 min read
How to Connect Supabase to a Mobile App
Learn how to connect Supabase to a mobile app with authentication, secure database access, Row Level Security, Storage, and server-side functions.
12 min read
How to Fix Common Problems in AI-Generated Mobile Apps
A systematic guide to fixing broken navigation, inconsistent UI, authentication failures, API errors, build issues, and other problems in AI-generated apps.
15 min read
How to Test a Mobile App Built with AI
A practical testing checklist for AI-built mobile apps, covering core journeys, authentication, payments, permissions, accessibility, and real devices.
13 min read
How to Build a Camera-Based AI App
A practical guide to building a camera-based AI app, from capture and image quality to processing, privacy, structured results, and failure handling.
12 min read
How to Add AI Features to a Mobile App Without Making It Gimmicky
Learn how to choose useful AI features, design trustworthy workflows, handle uncertainty, control cost, and measure whether AI improves your app.
11 min read
What Should You Build First in a Mobile App MVP?
A practical guide to choosing the smallest useful mobile app MVP, prioritizing the core journey, and avoiding features that slow down learning.
10 min read
How to Validate a Mobile App Idea Before You Build It
A practical process for testing a mobile app idea before investing in full development, with user research questions, validation experiments, prototype guidance, and a simple decision framework.
12 min read
Huxly vs Emergent for Mobile Apps
Emergent's multi-agent system generates real Expo and React Native code, praised even by critics, but the pipeline stops at generation. What that means, and the credit-burn cost of the AI fixing its own mistakes.
6 min read