By Malik Chohra
AI Mobile Launcher: the React Native boilerplate for AI-native apps
AI Mobile Launcher is a production React Native AI boilerplate. Expo, RevenueCat, Supabase, on-device LLM, and a Claude Code pipeline in three tiers. Ship an AI app fast.
AI Mobile Launcher is a production React Native AI boilerplate. It is a real codebase, not a template generator, that you buy once off aimobilelauncher.com and then own outright. It ships on Expo with the New Architecture turned on, a type-safe design system, auth and payments already wired, and an .claude/ spec-driven pipeline so Claude Code is productive on the codebase from the first prompt. The AI Pro tier adds cloud LLM routing and an on-device model, so “AI-native React Native” means the AI plumbing is part of the repo, not something you bolt on later.
I am Malik, a mobile engineer with 9 years on React Native, and I build this thing full-time. The rest of this article is what it actually generates, how the three tiers differ, and whether it is genuinely AI-native or just AI marketing on a normal Expo starter.
What is AI Mobile Launcher, exactly?
It is a React Native AI boilerplate built on Expo (~55) and React Native 0.83.6 with the New Architecture enabled. TypeScript runs in strict mode. The intent is narrow: get a founder or CTO from “I have an AI app idea” to “it is in TestFlight” without re-wiring the same five infrastructure pieces every project needs.
The pieces it wires for you: @shopify/restyle for type-safe theme tokens, Redux Toolkit with RTK Query for state and data fetching, MMKV (encrypted) for fast local storage, Supabase for auth plus biometric unlock, RevenueCat for in-app purchases, and Firebase for analytics. Sixty-plus components sit on a single design system, so screens look like one app instead of a Tailwind starter that someone tried to theme at 2am.
One detail people miss: RevenueCat is bundled so you can monetize your app. It is not me charging you a cut. It is the paywall infrastructure pre-configured in the repo you bought, ready to point at your own products.
What does the React Native AI boilerplate generate?
Every repo ships an .claude/ folder: a spec-driven development pipeline made of sub-agents and slash commands. You describe a feature, the pipeline plans it, then writes it against the conventions already in the codebase. Because the architecture is feature-first and indexed, Claude Code does not have to guess where things go. The video below walks through that workflow end to end.
The design system is the other thing it generates against. Sixty-plus components, one Restyle theme, type-safe spacing and color tokens. When Claude Code builds a new screen it reaches for those components instead of inventing inline styles, so the app stays coherent as it grows. Here is the component library as a Storybook walkthrough.
Put those two together and the path from idea to a shipped app gets short. The clip below is a real run of that loop, from a prompt to a working feature in one of my own apps (Morrow Self).
How do the three tiers differ?
One codebase, three feature sets. You pick the tier that matches what you are building. The tier name is “Standard”, by the way. There is no “Starter”.
Lite (free, MIT, 5 features)
Auth, home, onboarding, settings, and todos. Enough to see the architecture, the design system, and the Claude Code pipeline in a real working app. MIT licensed, so use it however you want. This is the honest try-before-you-buy tier, not a crippled demo. See it on the React Native boilerplate page.
Standard ($99, 12 features)
Everything in Lite plus analytics, an education module, gamification, push notifications, a paywall, remote config, and store-review prompts. This is the tier for a founder shipping a paid consumer app that needs monetization and retention loops on day one. Details on the Expo boilerplate page.
AI Pro ($199, 18 features)
Everything in Standard plus the AI layer: an AI analyser, an AI hub, attribution, dynamic onboarding, generative UI, and a local LLM running via llama.rn and Wire RN. AI Pro routes cloud models (Gemini and OpenAI) and runs an on-device model, so you can mix server inference with offline, private, zero-latency inference on the phone. This is the tier the “AI-native” label is really about. See the AI Expo page.
All three are one-time purchases. You check out on the website, you get access to the codebase, and that is the transaction. It is not a subscription and there is no per-seat or per-build fee.
Is it AI-native or AI bolted-on?
Fair question, because most “AI” boilerplates are a normal Expo starter with an OpenAI fetch call in one screen. Two things make AI Mobile Launcher different.
First, the codebase itself is built for AI to work on. The .claude/ pipeline, the feature-first folder structure, and the indexed conventions exist so a coding agent can extend the app reliably. That is AI-native at the development layer, and it is in every tier including the free one.
Second, AI Pro ships the runtime AI plumbing as features, not as a tutorial. Cloud routing between Gemini and OpenAI is wired. An on-device model runs through llama.rn. Generative UI is rendered through Wire RN. Dynamic onboarding uses a two-phase LLM flow. None of that is a code sample you copy. It is part of the repo you bought. If you want the deeper dives, I have written separate posts on cloud LLM routing in React Native and running an on-device LLM with llama.rn.
Who should buy this (and who should not)
Buy it if you are a founder or CTO who already knows you want RevenueCat plus Supabase plus RTK Query and you do not want to wire that stack for the tenth time. Buy AI Pro if the product is genuinely AI-first and you want on-device inference without spending two weeks fighting native build config.
Do not buy it if you want to make every architectural decision yourself, or if you are learning React Native and the value is in wiring it by hand. The opinions here are the point. If you disagree with the opinions, the free Lite tier lets you check before you spend anything. You can also browse the full stack breakdown first.
FAQ
Is AI Mobile Launcher a subscription?
No. It is a one-time website checkout that gives you access to the codebase. Lite is free, Standard is $99, AI Pro is $199. You pay once and you keep the code. There is no recurring fee.
What is the tech stack?
Expo (~55) and React Native 0.83.6 with the New Architecture on, TypeScript strict, @shopify/restyle for type-safe tokens, Redux Toolkit and RTK Query, MMKV (encrypted), Supabase auth with biometrics, RevenueCat for IAP, and Firebase analytics. Sixty-plus components on one design system.
What does the AI Pro tier add over Standard?
Six AI features on top of Standard: AI analyser, AI hub, attribution, dynamic onboarding, generative UI, and a local LLM via llama.rn and Wire RN. AI Pro routes cloud models (Gemini and OpenAI) and runs an on-device model, so you get both server and offline inference.
Can I monetize the app I build with it?
Yes. RevenueCat is bundled so you can run your own paywall and in-app purchases. The payment infrastructure is pre-configured in your repo and points at your own products. I do not take a cut of what your app earns.
Is it really AI-native or is the AI bolted on?
Both layers are covered. The codebase is built for a coding agent to extend (the .claude/ pipeline ships in every tier), and AI Pro includes the runtime AI features as part of the repo. It is not an Expo starter with one OpenAI call.