Picture this: you need a website. A traditional agency quotes you $20,000 and four weeks. An AI tool gets you something passable — after 10-plus hours of back-and-forth prompting.

Rocket.new was built to collapse that gap entirely. Founded in Surat, India by Deepak Dhanak, Vishal Virani, and Rahul Shingala, the platform generates complete, multi-page websites with working forms, navigation, and design decisions baked in — all from one sentence.

But early users kept sending the same message. "The constant feedback was that our solutioning is good, but the designs look outdated," said Vishal Virani, CEO and Co-Founder. Rocket had depth. It didn't yet have beauty. Fixing that without breaking what worked was the real engineering challenge.

The team's first instinct was to swap models for design generation. They resisted.

Instead, Rocket ran hundreds of experiments — adjusting system prompts, context layers, and research inputs — until they cracked it. Within weeks, the platform was producing animated, media-rich websites requiring zero follow-up prompts.

Their approach, called "Vibe Solutioning," takes a single sentence and returns a finished product. A prompt for an indie electronic artist's landing page generates animations, embedded audio, and genre-appropriate visuals — no iteration required. "We don't want our users to have the cognitive load of putting more and more prompts to get the result. We want them to feel the magic."

Rocket's implementation goes far beyond a single API call:

• Seven-Layer Architecture: Every prompt passes through a sequential decision-making pipeline before a single line of code is written
• Multi-Model Routing: Claude Opus 4.6 handles deep research and site architecture; Claude Sonnet 4.5 powers code generation; Claude Haiku 4.5 handles speed- and cost-optimized tasks
• Extended Thinking: Treated as a dial — enabled selectively based on query complexity, not applied universally
• Internal Eval Tool: Engineers run permutation combinations of model settings and score outputs side by side before any change ships to production

This stack optimizes for quality and cost simultaneously — something a single-model approach simply can't match.

The numbers:

• $20,000 → $200: Agency-equivalent websites now generated for a fraction of the traditional cost
• 1 month → 15 minutes: Delivery time compressed from weeks to a single session
• 10+ hours → 1 prompt: What competitors required in iteration, Rocket delivers immediately
• 1M+ users across 180 countries have built on the platform
• $4.5M ARR with 10,000+ paid subscribers (as of September 2025)
• 50–55% gross margins, with the US representing 26% of revenue

Roughly 80% of users build serious applications — not just landing pages. 12% have launched e-commerce platforms, 10% built fintech apps, and 5–6% created B2B tools.

• Go deeper before switching: Rocket's temptation to swap models would have sacrificed months of optimization. Prompt engineering and context architecture within an existing model stack unlocks more than starting over.
• Abstract complexity from users: Hiding multi-model routing behind a clean interface is a product design principle — and a direct driver of margins and retention.
• Deterministic beats flexible:
  "After thousands of experiments, we decided to be a deterministic platform and have an opinion about which model to use and when."
  — Deepak Dhanak, Co-Founder and COO, Rocket.new

What's next for Rocket.new:

• URL Revamp Feature: Users input an existing site URL with constraints (preserve SEO, refresh design) and Rocket rebuilds it
• Agentic Expansion: Experimenting with Anthropic's Agent SDK to add competitive research and product planning capabilities
• US HQ: Establishing a Palo Alto headquarters to deepen American market presence

🐯 Tiger Takeaway:

Rocket.new proves the real AI moat isn't which model you choose — it's how intelligently you orchestrate them. Most companies treat model selection as a one-time decision. Rocket turned it into a living, layered system that makes thousands of micro-decisions per prompt. For business leaders watching the "vibe coding" wave, the winners won't be those with the best single model. They'll be the ones who build the smartest architecture around it.