■ web app to native mobile app
You vibe-coded a web product. Now you want it on the App Store and Play Store. We reuse your existing backend, database and APIs and rebuild the frontend in React Native or Flutter — so you ship a real native app, not a wrapped website. Already done for GravityOne and Style Cypher.

■ Who this is for
■ Probably not a fit
■ Two paths from web to native
Most projects we take on fall into one of two shapes. The work and the timeline change meaningfully between them. We'll tell you which path you're on in the first call.
Path A · 8–12 weeks
You built a real web product on Lovable, Claude, Bolt, v0 or AI Studio. There's a Supabase / Firebase / Postgres / MySQL database, an auth layer, API endpoints that already serve the web app, and probably a billing integration. We reuse all of it.
Path B · 12–18 weeks
The vibe-coded version got you a beautiful frontend and a clear product idea — but the data lives in fake state, the login is fake, and the payments never went live. We take the UI as the product reference and build the backend, the database and the API surface properly, then build the native app on top.
Case Study · Web to Native
Backend reused from web
One React Native codebase
Stack
React Native · TypeScript · Supabase · Node.js
■ Real work
GravityOne came to us with a working web product built on Lovable. The database, the auth layer and the API endpoints were already in production and serving real users on the web. The question was how to get the same product into the App Store and Play Store without rebuilding everything from scratch — and without ending up with two diverging codebases six months later.
We reused the entire backend. The same Supabase database, the same RLS policies, the same API endpoints. We extracted the validation schemas and the API client into a shared TypeScript package so the React web app and the new React Native app could import from the same source. New features ship to both surfaces in the same sprint because the business logic only lives in one place.
The two engineering decisions that paid off most: investing early in a tested offline read layer with SQLite + sync, so the app feels instant even on patchy connections, and being deliberate about which screens needed native gestures (the feed and the messaging surface) versus which could lean on the standard navigation primitives. The build hit both stores on the first submission with no rejections.
■ React Native vs Flutter
Lovable, Claude, Bolt, v0 and AI Studio all output React. That tilts the default toward React Native because the language, the type system and the component model carry across. Flutter is a great alternative — but the case for it has to be specific. Here's how we choose.
Same language as your existing React web app, same component model, same type definitions. The validation schemas, the API client and a meaningful chunk of business logic move across the boundary without rewriting. Expo's bare workflow gives us EAS for builds and OTA plus full access to native modules when we need them.
Flutter wins when you already have Dart expertise, when pixel-identical rendering across platforms is a hard requirement, or when the design language depends on highly custom canvas-style UI. We've shipped Flutter when it was the right call. Most AI-built web products are not in that category — React Native carries more of the work across.
Both clients hit the same endpoints. The mobile app does not get its own duplicate API surface that drifts from the web one over six months. We add mobile-specific endpoints only where the payload genuinely needs to differ (lighter list responses, push token registration, app-version gates).
Supabase Auth, Firebase Auth, Clerk, Auth0 — whatever the web app uses, the native app uses too. Stripe billing reused via the same customer IDs. File uploads reuse the same buckets. Users don't get a second account because they downloaded the app — they sign in and pick up where they left off.
Zustand or Redux Toolkit for state. React Query for server state. SQLite via WatermelonDB for anything that needs to be readable offline. We avoid clever sync-by-magic libraries — the conflict logic always becomes a debugging tax later. Explicit sync that the next engineer can read and reason about ages well.
EAS for builds, signing and submission to both stores from a single config. EAS Update or CodePush for OTA updates of the JavaScript bundle so a typo fix ships the same day instead of waiting on store review. Native module changes still need a real store update — we are deliberate about which change goes which path.
■ Real work
Style Cypher came to us with a beautiful AI-built web frontend and almost nothing behind it. The product idea was clear from the UI — a fashion and style discovery experience — but the data was mocked, the login was a stub, and there was no API layer. They wanted the same product on iOS and Android, and they wanted the web app to actually start working too.
We took the vibe-coded UI as the product reference and designed the data model around it. PostgreSQL schema, migrations, an authenticated REST API, image storage, search, and the AI-powered recommendation surface that the product was promising. The same API now serves both the rebuilt web app and the new React Native app — one backend, two clients, no duplication.
The decision we made early that paid off: treating the AI generated UI as a reference design, not as production code. We rebuilt the components inside a proper design system so the React web app and the React Native app could share the same primitives and the same look. Six months later, the team is shipping features to both surfaces in the same sprint instead of fighting two diverging UIs.
Case Study · UI-only to Full Stack
Backend built from scratch
Shared by web and native
Stack
React Native · Node.js · PostgreSQL · TypeScript
■ How we work
One week. We read the existing Lovable / Claude / Bolt / v0 / AI Studio codebase end to end, document the data model, the API surface, the auth, the billing and the third-party integrations. Output: a written architecture, what we can reuse, and what needs hardening.
If the backend exists and is healthy, we go straight to mobile architecture. If the backend is UI-only state, we plan the backend build in parallel. Either way, the decision is documented before we start writing production code.
Shared TypeScript package for types and validation. Shared API client. Shared design tokens. The native app does not duplicate logic that already exists on the web — it imports it. Mobile-specific endpoints get added to the same API, not a parallel one.
Two-week sprints. Internal builds shared via TestFlight and Firebase App Distribution after every sprint. Scope changes get re-baselined at sprint boundaries, not mid-sprint. The web app and the native app stay in lockstep on shared business logic.
Performance pass on real low-end Android devices, offline scenarios tested deliberately, push notification flows verified end to end, store listing copy and screenshots prepared, privacy declarations filled in, App Tracking Transparency wired up where needed. Crash reporting and analytics live before submission.
We submit to both stores, handle reviewer back-and-forth, and stay on full availability for the first month after launch. Real users surface issues no internal test catches. Then we move into a standard maintenance and feature retainer covering web and native together.
■ Honest comparison
| Wrap-in-WebView | Rebuild from scratch | Freelance RN dev | Appycodes | |
|---|---|---|---|---|
| Reuses your existing backend | Yes | No — full rebuild | Sometimes | Yes |
| Feels native on iOS / Android | No | Yes | Depends | Yes |
| Survives App Store review | Often rejected | Yes | Depends | Yes |
| Time to both stores | 2-4 weeks | 6-12 months | Variable | 8-18 weeks |
| Web and native stay in lockstep | By accident | Diverges fast | No | Yes — shared logic |
| Continuity if someone leaves | Low risk (small surface) | High risk | High risk | Built in |
| Owns code, backend and IP | Yes | Yes | Mixed | Yes — fully |
None of these options is universally wrong. A WebView wrapper is fine for an internal-only tool with five users. A full rebuild is right when the web app has been a throwaway. We tend to be the right call when you want the native version of your existing product shipped quickly, with the backend reused, and with one team holding the line on web-native parity afterwards.
■ Related research
Three of our 2026 research reports back the choices behind this service — the production cost of AI prototypes, the App Store rejection patterns we plan around, and how OTA updates affect post-launch velocity.

About the author
Ritesh leads engineering at Appycodes and has spent the last decade shipping web and native mobile products for funded startups across the UK, US, India and Australia. His focus is on production engineering for AI-built products — taking Lovable, Claude, Bolt and v0 codebases past the prototype boundary and onto real users' phones.
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