Rocket launches AI platform for product strategy docs
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- Rocket launched Rocket 1.0, an AI platform that produces product strategy documents including pricing, unit economics, and go-to-market recommendations from simple prompts, targeting the gap CEO Vishal Virani identifies before 'vibe coding': helping users decide what to build.
- CEO Vishal Virani said the $250/month plan can generate two to three 'McKinsey-grade' research reports alongside product builds, positioning the platform as a lower-cost alternative to traditional consulting, which he says charges thousands for similar strategy work.
- The platform draws on more than 1,000 data sources — including Meta's ad libraries, Similarweb's API, and proprietary crawlers — and can track competitor website changes and traffic trends as part of its competitive intelligence features.
- Rocket raised a $15 million seed round in September from Accel, Salesforce Ventures, and Together Fund, and has since grown from 400,000 to over 1.5 million users across 180 countries, with subscription plans ranging from $25 to $350 per month.
- The startup reports annualized average revenue per user around $4,000, gross margins above 50%, and a customer base that is 20% to 30% small and medium-sized businesses, operating with 57 employees split between Surat and Palo Alto.
- TechCrunch's testing found the platform outputs PDF product requirement documents that resemble consulting reports rather than vibe-coding tools, but noted some analysis appears synthesized from existing data — meaning users may still need to validate outputs before making business decisions.
Why it matters: For founders priced out of traditional consulting, Rocket's $250/month plan compresses the strategy phase — a McKinsey engagement that costs thousands — into a prompt-driven document, giving solo builders and small teams a faster starting point. With 1.5 million users across 180 countries and roughly $4,000 ARPU, the Surat-based startup has traction, but TechCrunch's caveat that the analysis is 'synthesized from existing data' means the output is a draft, not original research.
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