Indian startup Rocket is betting that the next big opportunity is the part before vibe coding: having AI help people decide what to build. It has launched a platform that produces consulting-style product strategies.

The startup, based in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects research, product building, and competitive intelligence in a single workflow. The platform generates detailed product strategy documents — including pricing, unit economics, and go-to-market recommendations.

As AI-powered coding tools proliferate — from platforms like Cursor, Replit, and Lovable to features such as Claude Code and Codex — writing code has become significantly easier and faster. “Everyone can generate the code now… it has become a commodity. But what to build is something which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a business and just building a codebase are two different things.”

TechCrunch briefly tested Rocket’s platform ahead of its launch and found that it generated product requirement documents in PDF format from simple prompts. These documents resemble consulting-style reports rather than vibe coding tools or chatbots, which largely focus on features and execution.

However, some of the analysis appeared to be synthesized from existing data — combining known pricing models, user behavior patterns, and competitive insights — rather than based on independently verifiable information. This suggests users may still need to validate outputs before making business decisions. Virani said the platform can offer human support when users encounter issues.

The product can also track competitors, including changes to their websites and traffic trends. Rocket draws on more than 1,000 data sources for its analysis, including Meta’s ad libraries, Similarweb’s API, and its own crawlers, Virani said.