AI Startup Rocket Delivers McKinsey-Style Reports for Less
▼ Summary
– Indian startup Rocket has launched a platform that uses AI to generate consulting-style product strategy documents, focusing on what to build before coding.
– The Rocket 1.0 platform creates detailed reports covering pricing and go-to-market plans, synthesizing data from over 1,000 sources including ad libraries and web crawlers.
– The company argues that while AI has made code generation a commodity, the strategic decision of what to build remains a critical, unmet need.
– Subscription plans range from $25 to $350 monthly, with higher tiers positioned as a lower-cost alternative to traditional strategy consulting.
– Rocket raised a $15 million seed round, has grown to over 1.5 million users, and reports strong gross margins with a significant portion of its customers being SMEs.
While AI tools have made generating code faster and cheaper, a critical question remains for many founders: what should they actually build? An Indian startup is tackling this strategic gap with a platform designed to produce detailed, consulting-style product strategy reports, positioning itself as a more accessible alternative to traditional high-priced firms.
Based in Surat, Rocket recently launched its Rocket 1.0 platform. It integrates market research, product development frameworks, and competitive intelligence into a single workflow. The system generates comprehensive documents that cover essential business considerations like pricing strategy, unit economics, and go-to-market recommendations.
The company’s premise is that the real bottleneck has shifted. “Everyone can generate code now, it has become a commodity. But deciding what to build is the challenge everyone is facing,” explained Rocket’s co-founder and CEO, Vishal Virani. He emphasized the distinction between simply writing software and operating a viable business.
In practice, users input simple text prompts, and the platform outputs polished product requirement documents in PDF format. These outputs resemble the structured reports from management consultancies rather than the feature-focused suggestions from typical coding assistants. The platform’s analysis synthesizes data from over a thousand sources, including Meta’s ad library, the Similarweb API, and proprietary web crawlers, to track competitor website changes and traffic trends.
A key consideration for potential users is validation. The analysis provided is a synthesis of existing public data and known patterns, meaning the insights may not be based on independently verifiable primary research. Users are advised to critically assess the outputs before making significant business decisions. For complex issues, Rocket offers the option for human support.
The service is offered through tiered subscription plans. Pricing starts at $25 monthly for basic application building, scaling up to $250 for enhanced strategy and research features. The top tier, priced at $350 per month, includes full competitive intelligence capabilities. Virani positions the $250 plan as particularly disruptive, noting it can produce two to three “McKinsey-grade” research reports alongside product builds, a fraction of the cost of traditional consulting engagements.
Rocket’s growth has been rapid. The company closed a $15 million seed round last September from investors including Accel, Salesforce Ventures, and Together Fund. Since that funding, it reports its user base has expanded from 400,000 to over 1.5 million across 180 countries. While not disclosing specific payer counts, Rocket states its annualized average revenue per user is approximately $4,000, and it operates at gross margins exceeding 50%. Small- and medium-sized businesses constitute 20 to 30 percent of its customer base. With a team of 57, the company maintains its headquarters in Surat and has operational presence in Palo Alto.
(Source: TechCrunch)
