Rocket.new

Rocket.new is a full-stack AI app builder that turns natural-language prompts and Figma designs into production-ready web and mobile applications. Built by Rocket USA Inc. (formerly DhiWise, a Surat, India-based developer tooling company founded by Vishal Virani, Rahul Shingala, and Deepak Dhanak), the platform launched in beta in June 2025 and raised a $15 million seed round from Salesforce Ventures and Accel in September 2025. Where most AI builders stop at web prototypes, Rocket generates native Flutter apps for iOS and Android alongside Next.js web apps, making it one of the few vibe-coding tools with genuine cross-platform output.

The platform's core loop covers three stages: research (market analysis and decision support for what to build), build (app generation from prompts or Figma with full-stack backend), and intelligence (post-launch competitor monitoring). The build stage is the main draw: Rocket connects natively to Supabase for database, auth, and file storage; supports Stripe payments; generates multi-page apps with page suggestion and selection; handles Figma-to-code conversion for both web and mobile; and exports editable code with two-way GitHub sync. The token-based pricing model means costs scale with how much AI processing your builds require, and iterative debugging is where that adds up.

What Rocket.new actually does in June 2026

Rocket.new's build pipeline takes a plain-English prompt (or an uploaded Figma file) and produces a runnable application in roughly 25 minutes. That's slower than Bolt.new's near-instant previews, and intentionally so: the platform is configured for completeness over speed, with backend logic, database schema, auth flows, and integrations included in the initial generation rather than left for post-build wiring.

The output types cover: web apps in React/Next.js, landing pages, SaaS tools, internal tools and dashboards, native iOS/Android apps via Flutter, and multi-page sites. The Figma import feature handles both mobile and web layouts with responsive output, converting design files to functional code rather than static HTML. Over 25,000 templates are available for common app patterns. One-click deployment to staging and production environments is built in, and the generated codebase is exportable, meaning you're not locked into Rocket's infrastructure long-term.

Under the hood, Rocket combines LLMs from Anthropic, OpenAI, and Google Gemini with proprietary deep-learning systems trained on the founders' prior DhiWise dataset of Flutter and React codebases. This is where the mobile output quality comes from: the team built Figma-to-Flutter tooling for years before pivoting to the consumer-facing product, giving their Flutter generation a head start over competitors who bolt on mobile as an afterthought.

Where Rocket.new sits versus Lovable and Bolt.new

Rocket.new versus Lovable: Lovable is a React/Supabase-first web builder with deep native Supabase integration (auth, database, storage wired automatically) and real-time team collaboration for co-editing. It does not produce mobile apps. Rocket's Supabase integration is present but is one option within a broader integration set that also covers OpenAI, Stripe, Resend, Netlify, Gemini, and Anthropic APIs. Rocket supports Figma conversion for both web and mobile with responsive output; Lovable handles web Figma imports only. If your target is a production web app with a strong Supabase backend and team editing, Lovable's depth may suit better. If you need a Flutter mobile app or a wider integration surface, Rocket has no direct competitor in this tier.

Rocket.new versus Bolt.new: Bolt uses StackBlitz's WebContainers technology, running a full Node.js environment inside your browser tab so code previews appear in seconds. This in-browser execution model makes Bolt faster for rapid iteration but limits what it can generate (web only, no native mobile, no Flutter). Bolt's backend generation covers the basics but reviewers flag it needs cleanup for complex apps. Rocket's server-side pipeline takes longer per generation cycle but outputs cross-platform code with a more complete initial state, exportable with GitHub sync included on all paid plans rather than gated at higher tiers. The practical difference: Bolt for quick-turn web experiments; Rocket when mobile output or production readiness matters from the start.

v0 by Vercel sits in a different lane: it's a UI-component generator optimized for React/shadcn/Tailwind output that feeds into existing Vercel workflows, not a full-stack app builder. v0 is a developer tool that complements a codebase; Rocket is a zero-to-one builder for people without one.

"Rocket.new managed to take a relatively complex project brief and turn it into a high-quality, responsive, and functional web application in less than 15 minutes. The design quality is miles ahead of any other AI builder I've tried." - UI/UX designer, Reddit, 2025

What the build workflow reality looks like

The standard Rocket.new session starts with a prompt: describe your app, its users, and the key features you need. The platform runs a generation cycle (expect 20-30 minutes for an initial full-stack build) and presents a live preview alongside the generated code. From there, you iterate in natural language: "add a dashboard with these charts," "connect the sign-up form to Supabase auth," "change the color scheme to dark mode." Each iteration consumes tokens from your plan's monthly allowance.

The Figma import path is distinct: you upload a design file, Rocket parses the layers and components, and generates code that matches the design with responsive behavior for both web and mobile breakpoints. Teams that already have a design system in Figma describe this as the fastest path from mockup to deployed app they've found, though pixel-perfect fidelity at complex design-system scale remains a limitation.

Where the workflow breaks down is in the fix loop. When the AI's first pass produces bugs, the natural response is to prompt for fixes. Each fix attempt burns tokens, and reviewers across platforms describe a pattern where fixing one issue surfaces a different one, running through credits without converging on a working state. The APK generation path (for Android) has specific documented failures where builds fail repeatedly, consuming multiple rounds of credits before resolving (or not). This is the sharpest edge in the Rocket.new experience and the source of most one-star reviews.

"All that happens is you refuel tokens then have to go through fix after fix." - Anonymous Verified Director, Slashdot review, September 19, 2025

The support team receives mixed reviews: some users report fast, step-by-step help and even token refunds when platform errors caused the consumption; others report 24+ hour response times with no resolution. The contrast tracks with the polarized Trustpilot rating (4.2 TrustScore across 116 reviews as of early 2026, with nearly equal clusters of five-star and one-star reviews).

Who Rocket.new is built for

Rocket.new fits non-technical founders who need a real product, not a mockup. If you're validating a startup idea and want a working web app plus a mobile app without hiring developers or stitching together multiple tools, Rocket's cross-platform output is genuinely differentiated. The 25,000+ templates cover common startup patterns (SaaS, internal tools, dashboards) and the built-in Supabase connection removes a step that trips up most no-code builders when moving from prototype to production.

Designers with Figma workflows get value from the Figma import feature, especially for mobile. If you've built a detailed mobile UI in Figma and want runnable Flutter code, Rocket's DhiWise heritage makes this a stronger path than competitors that added Figma import as an afterthought.

Small agency teams building client MVPs will find the unlimited team members on paid plans valuable. The GitHub sync means handoff to a developer for production hardening is workable: the exported code is readable and editable, not locked in a proprietary format.

What Rocket.new is not

Rocket.new is not a replacement for a developer on complex production systems. The token-burn loop means anything requiring extensive iteration becomes expensive fast. If your app has intricate state management, complex real-time requirements, or highly specific design-system fidelity, the current AI generation quality will require developer cleanup that may cost more than just building from scratch.

It is not a free tool in any meaningful sense. The Starter plan's one-time 1M tokens feels like a trial, not a usable free tier. Users who tried to build a complete app on the free plan and ran out of credits before completion are a recurring complaint thread. Meaningful use starts at the Personal plan ($25/mo) and scales from there based on iteration volume.

It is not a pixel-perfect design tool. Rocket generates functional, responsive UI but does not guarantee exact replication of complex Figma designs with custom component libraries. Webflow and Framer remain better choices when design control matters more than backend functionality.

It is not the fastest option for pure web prototyping. If you want a web UI live in 60 seconds, Bolt.new's WebContainers model beats Rocket on iteration speed. Rocket's 25-minute generation cycle is a considered tradeoff for completeness: you get more on the first pass, but you wait longer for it.

And it is not ready for every mobile build scenario. Android APK generation specifically has documented failure patterns as of late 2025. If your primary output target is Android and timing is critical, test this path on a low-stakes project before committing to a paid plan.