Draftbit is a visual drag-and-drop builder that outputs React Native code. Fastshot is an AI platform that generates React Native code from descriptions. Same output technology, radically different workflows.
Draftbit and Fastshot share something in common: both produce React Native code. Draftbit is a visual builder where you drag and drop React Native components onto a canvas, configure their properties, and connect to APIs. It gives experienced builders fine-grained control over each component.
Fastshot takes the AI-first approach. Describe your app and its features in natural language, and Fastshot generates the complete native mobile project. Instead of manually placing and configuring every component, you let AI make intelligent decisions about layout, navigation, and architecture.
The Draftbit approach works well for developers who want visual control over React Native components without writing code. However, building complex apps with drag-and-drop can become tedious and time-consuming. Each screen, each component, and each data connection must be configured manually.
Fastshot generates entire apps at once, including the backend. This means you get not just UI components but also data models, authentication flows, API integrations, and navigation. The speed difference is dramatic for projects of any significant complexity.
Both platforms produce React Native code, but the development experience differs significantly.
| Feature | Draftbit | Fastshot |
|---|---|---|
| Build Approach | Drag each component onto a canvas manually | Describe the full app — AI generates everything |
| Speed to MVP | Days to weeks depending on app complexity | Minutes to hours for a complete working app |
| Backend Included | No — connect your own APIs and databases | Yes — Supabase with auth, database, and storage |
| Expo Ecosystem | Not a standard Expo project | Full Expo project — EAS Build, OTA updates, native modules |
| AI Assistance | Limited autocomplete and suggestions | Complete app generation from a conversation |
| Full-Stack Scope | Frontend UI only — backend is your problem | Frontend + backend + auth + data models in one step |
| Code Quality | Visual config exported as React Native code | Clean, well-structured code following RN best practices |
| Subscription | From $29/month to access the builder | Per-project pricing — pay for what you ship |
| Developer Handoff | Exportable but may need restructuring | Standard Expo project any RN developer can open |
| Build & Deploy | Export code, then set up builds yourself | One-click cloud builds for APK, AAB, and IPA |
While both produce React Native code, Fastshot offers a faster and more complete development experience.
Building with Draftbit means manually configuring every component, screen, and data connection. Fastshot generates your entire app from a description in minutes, including all screens, navigation, and backend.
Draftbit is frontend-only. You need to build and host your own backend or connect to third-party APIs. Fastshot includes a complete integrated backend with authentication, database, storage, and real-time features.
Draftbit exports code that you then need to build locally or set up CI/CD yourself. Fastshot compiles your app remotely and produces APK, AAB, and IPA files ready for app store submission.
Draftbit requires learning its visual builder interface, component system, and data binding conventions. Fastshot requires only the ability to describe what you want in plain English.
Fastshot generates standard Expo projects, giving you access to the entire Expo ecosystem including EAS Build, push notifications, over-the-air updates, and hundreds of native modules.
Draftbit only generates frontend UI. Fastshot generates the complete stack: frontend components, navigation, state management, backend models, authentication, and API integration.
Elvira Dzhuraeva is an expert in AI mobile app development and React Native. A former Senior Product Manager at Google specializing in AI/ML and Generative AI, she is the Founder of Fastshot (YC-backed) and a founding contributor to Kubeflow.