惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - Franky
D
Docker
Jina AI
Jina AI
The GitHub Blog
The GitHub Blog
博客园 - 聂微东
B
Blog RSS Feed
大猫的无限游戏
大猫的无限游戏
M
MIT News - Artificial intelligence
Vercel News
Vercel News
Microsoft Security Blog
Microsoft Security Blog
博客园 - 叶小钗
爱范儿
爱范儿
D
DataBreaches.Net
Hugging Face - Blog
Hugging Face - Blog
IT之家
IT之家
Recent Announcements
Recent Announcements
U
Unit 42
腾讯CDC
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
宝玉的分享
宝玉的分享
量子位
Stack Overflow Blog
Stack Overflow Blog
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Microsoft Azure Blog
Microsoft Azure Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
React Native и App Store — почему похожие приложения полу...
Apporig · 2026-05-29 · via DEV Community

Apporig

Apporig

Posted on • Edited on

React Native and App Store — Why Similar Apps Get Rejected

We published 8 React Native apps in two months. Five looked completely different—different colors, layouts, features. Four got rejected.

All four rejections: 4.3(a) Design: Spam.

The problem isn't what you think

First instinct: change the UI more. We redid icons, rewrote copy, changed the color scheme. Resubmitted.

Rejected again. Same reason.

Turns out Apple doesn't just look at screenshots. They analyze the binary. And when you're building multiple apps from the same React Native codebase—even with different features enabled—the structural similarity screams "copy-paste".

What Apple actually checks

After digging into rejection patterns across studios, here's what triggers 4.3 for React Native apps:

Component structure and hierarchy: If App.tsxMainNavigatorHomeScreenProfileCard looks identical across apps, that's a flag. Even if ProfileCard renders different content.

Hook names and patterns: Custom hooks like useAuth(), useFetchData(), useTheme() with the same signatures across apps. Apple's tooling can detect this.

Navigation setup: React Navigation route configs that mirror each other. Same screen names, same stack structure, just different content.

Dependencies: Identical package.json with the same set of libraries at the same versions. This one's subtle but contributes to the overall "sameness" score.

What didn't work

Changing variable names manually—too error-prone and time-consuming. You miss things, break stuff.

Using different component libraries per app—adds bloat, inconsistent dev experience, doesn't solve the structural similarity problem.

Randomizing file names—doesn't change the AST (abstract syntax tree), which is what actually matters.

What actually works

I built apporig.com because I got tired of the rejection roulette. You upload a ZIP or connect a Git repo. It analyzes:

  • Component tree structure
  • Function and hook signatures
  • Navigation patterns
  • Package dependencies

Output: similarity percentages and a status for each layer:

  • COPY: > 85% similar—Apple will likely reject
  • RELATED: 60-85%—risky, needs review
  • OK: < 60%—safe to submit

You see exactly which parts of your codebase are too similar before Apple does. For React Native specifically, it checks both JS/TS structure and the native module setup.

Practical takeaways (even without apporig)

  1. Vary component hierarchies: Don't just swap content inside the same component tree. Restructure screens entirely. Use tabs in one app, drawer nav in another.

  2. Rename custom hooks meaningfully: Not just useDatauseData2, but actually different abstractions. useProductCatalog, useServiceList—names that reflect different domains.

  3. Diversify dependencies: If one app uses React Query, try SWR in another. Different state management libraries create different structural patterns.

  4. Unique screen flows: Don't copy-paste screen sequences. If one app has Onboarding → Home → Profile, make another go Dashboard → Settings → Profile.

Before every submission now, I run the check. Saved us probably 30+ hours of rejection cycles in the last quarter alone.

If you're publishing multiple RN apps, check similarity before Apple does: apporig.com/react-native-code-uniqueness