Rocket
Last Updated on: Feb 8, 2026
Rocket
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AI Code Assistant
AI Code Generator
AI Code Refactoring
No-Code & Low-Code
Code Explanation
AI App Builder
AI UI/UX Design
AI Website Builder
AI Website Designer
AI Workflow Management
AI Task Management
AI Project Management
AI Knowledge Management
AI Product Management
AI Log Management
AI Contract Management
AI Productivity Tools
AI Scheduling
AI Assistant
AI API Design
Design Assistant
What is Rocket?
Rocket.new is an AI-powered app development platform that allows users to build full-stack web and mobile applications from simple natural-language prompts. It generates backend, authentication, database schema, UI and deploy pipelines—all in minutes rather than months. The platform targets creators who want production-ready applications without extensive engineering overhead.
Who can use Rocket & how?
  • Startup Founders: Rapidly prototype and launch product ideas without large engineering teams.
  • Product Teams: Build MVPs or internal tools quickly with minimal code.
  • Developers & No-Code Enthusiasts: Build full-stack apps using natural language and minimal developer effort.
  • Agencies & Designers: Create client web/mobile apps faster and focus on user experience rather than boilerplate code.
  • Educational Programs: Teach app creation and prototype building with reduced infrastructure overhead.
  • Enterprise Innovators: Internal teams building proof-of-concepts and internal tools rapidly.

How to Use It?
  • Enter Your Idea: Describe in natural language what app you want to build.
  • Let the Platform Generate: It creates backend, database, UI, integrations and ready-to-deploy code.
  • Review & Customize: Adjust code, UI or logic as needed using the auto-generated scaffold.
  • Deploy in Minutes: Use the built-in deployment pipeline to launch web, backend, mobile.
  • Iterate & Scale: Update features, add modules and deploy new versions rapidly.
  • Own the Code: The generated code is yours to modify, extend or host independently.
What's so unique or special about Rocket?
  • From Idea to App Quickly: Eliminates lengthy dev cycles by automating much of the build process.
  • Natural-Language Driven: Users specify requirements in plain English rather than writing full specs.
  • End-to-End Stack: From database to UI to deployment—handled by the platform.
  • Production-Ready Output: Not just prototypes; apps are designed for real-world use and scale.
  • Ownership & Control: Users retain generated code and can modify beyond the platform.
Things We Like
  • Significantly faster app development.
  • Accessible to non-engineers or small teams.
  • Generates full-stack apps—not just front-end prototypes.
  • Reduces time-to-market and resource cost.
  • Allows ownership and extension of code base.
Things We Don't Like
  • Complex custom features may require manual coding still.
  • Generated code quality and maintainability depend on platform maturity.
  • May not replace full engineering teams for large, complex applications.
  • Pricing and scalability need evaluation for enterprise use.
Photos & Videos
Screenshot 1
Pricing
Freemium

Free

Free

What you get
1M tokens
Public projects
Data used to train our model
Templates

Personal

$ 25.00

What you get
5M tokens
Credit rollover
Private projects
Unlimited custom domains
Code download
Remove Rocket branding
Opt out of data training
Templates

Rocket

$ 50.00

What you get
10.5M tokens (5% bonus tokens)
Credit rollover
Private projects
Unlimited custom domains
Code download
Remove Rocket branding
Opt out of data training
Templates

Booster

$ 100.00

What you get
22M tokens (10% bonus tokens)
Credit rollover
Private projects
Unlimited custom domains
Code download
Remove Rocket branding
Opt out of data training
Templates
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Popular Mention

FAQs


Yes — it supports both web and mobile application generation.

Yes — generated code is exposed and owned by the user.

No — the platform is designed for minimal coding, but coding knowledge helps for custom extensions.

Yes — the apps are designed to be production-ready, including backend, deployment and integrations.

Not completely — for highly custom or large-scale projects, engineering input may still be needed.

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Editorial Note

This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.

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