Indian startup Rocket is betting that the adjacent large accidental is the portion earlier the vibe coding: having AI assistance radical determine what to build. It has launched a level that produces consulting-style merchandise strategies.
The startup, based successful Surat, India, connected Tuesday launched its platform, Rocket 1.0, which connects research, merchandise building, and competitory quality successful a azygous workflow. The level generates elaborate merchandise strategy documents — including pricing, portion economics, and go-to-market recommendations.
As AI-powered coding tools proliferate — from platforms similar Cursor, Replit, and Lovable to features specified arsenic Claude Code and Codex — penning codification has go importantly easier and faster. “Everyone tin make the codification now… it has go a commodity. But what to physique is thing which everyone is missing,” said Rocket co-founder and CEO Vishal Virani (pictured above), adding that “running a concern and conscionable gathering a codebase are 2 antithetic things.”
TechCrunch concisely tested Rocket’s level up of its motorboat and recovered that it generated merchandise request documents successful PDF format from elemental prompts. These documents lucifer consulting-style reports alternatively than vibe coding tools oregon chatbots, which mostly absorption connected features and execution.
However, immoderate of the investigation appeared to beryllium synthesized from existing information — combining known pricing models, idiosyncratic behaviour patterns, and competitory insights — alternatively than based connected independently verifiable information. This suggests users whitethorn inactive request to validate outputs earlier making concern decisions. Virani said the level tin connection quality enactment erstwhile users brushwood issues.
Rocket’s level generates consulting-style reports Based connected substance prompts fixed by usersImage Credits:RocketThe merchandise tin besides way competitors, including changes to their websites and postulation trends. Rocket draws connected much than 1,000 information sources for its analysis, including Meta’s advertisement libraries, Similarweb’s API, and its ain crawlers, Virani said.
Rocket’s subscription plans scope from $25 per period for gathering applications to $250 for strategy and probe capabilities, and up to $350 for the afloat platform, including competitory intelligence.
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The $250 program tin make 2 to 3 “McKinsey-grade” probe reports alongside merchandise builds, Virani told TechCrunch, positioning its higher-tier offerings arsenic a lower-cost alternate to accepted consulting, which often costs thousands of dollars for akin strategy work.
Rocket raised a $15 cardinal effect round successful September from Accel, Salesforce Ventures, and Together Fund. Since then, the startup says it has grown from 400,000 to implicit 1.5 cardinal users crossed 180 countries. It besides reported an annualized mean gross per idiosyncratic successful the ~$4,000 range, though it did not disclose elaborate paying lawsuit numbers. The startup said it operates astatine gross margins of implicit 50%, with 20–30% of its customers being small- and medium-sized businesses.
Rocket has a squad of 57 employees and is headquartered successful Surat, with operations successful Palo Alto.















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