Indian startup Rocket is betting that the subsequent massive alternative is the half earlier than vibe coding: having AI assist individuals resolve what to construct. It has launched a platform that produces consulting-style product methods.
The startup, based mostly in Surat, India, on Tuesday launched its platform, Rocket 1.0, which connects analysis, product constructing, and aggressive intelligence in a single workflow. The platform generates detailed product technique paperwork — together with pricing, unit economics, and go-to-market suggestions.
As AI-powered coding instruments proliferate — from platforms like Cursor, Replit, and Lovable to options akin to Claude Code and Codex — writing code has grow to be considerably simpler and sooner. “Everybody can generate the code now… it has grow to be a commodity. However what to construct is one thing which everyone seems to be lacking,” mentioned Rocket co-founder and CEO Vishal Virani (pictured above), including that “working a enterprise and simply constructing a codebase are two various things.”
TechCrunch briefly examined Rocket’s platform forward of its launch and located that it generated product requirement paperwork in PDF format from easy prompts. These paperwork resemble consulting-style experiences quite than vibe coding instruments or chatbots, which largely give attention to options and execution.
Nevertheless, a number of the evaluation seemed to be synthesized from current knowledge — combining identified pricing fashions, person habits patterns, and aggressive insights — quite than based mostly on independently verifiable data. This suggests customers should still have to validate outputs earlier than making enterprise selections. Virani mentioned the platform can provide human assist when customers encounter points.
The product may observe opponents, together with modifications to their web sites and site visitors tendencies. Rocket attracts on greater than 1,000 knowledge sources for its evaluation, together with Meta’s advert libraries, Similarweb’s API, and its personal crawlers, Virani mentioned.
Rocket’s subscription plans vary from $25 per 30 days for constructing functions to $250 for technique and analysis capabilities, and as much as $350 for the total platform, together with aggressive intelligence.
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The $250 plan can generate two to a few “McKinsey-grade” analysis experiences alongside product builds, Virani instructed TechCrunch, positioning its higher-tier choices as a lower-cost various to conventional consulting, which regularly prices hundreds of {dollars} for comparable technique work.
Rocket raised a $15 million seed spherical in September from Accel, Salesforce Ventures, and Collectively Fund. Since then, the startup says it has grown from 400,000 to over 1.5 million customers throughout 180 international locations. It additionally reported an annualized common income per person within the ~$4,000 vary, although it didn’t disclose detailed paying buyer numbers. The startup mentioned it operates at gross margins of over 50%, with 20–30% of its prospects being small- and medium-sized companies.
Rocket has a staff of 57 workers and is headquartered in Surat, with operations in Palo Alto.
