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Showing posts with label startup product development AI. Show all posts

AI Startup Rocket Launches Platform to Turn Ideas into Data-Driven Product Strategies

 

lndian startup Rocket is focusing on a gap that comes before the rise of “vibe coding” — helping users decide what to build in the first place. The company has introduced a new platform designed to generate consulting-style product strategies using artificial intelligence.

Headquartered in Surat, Rocket unveiled its platform, Rocket 1.0 recently. The system integrates research, product development, and competitive intelligence into a unified workflow. It produces in-depth product strategy documents covering areas such as pricing, unit economics, and go-to-market planning.

With the rapid growth of AI-powered coding tools — including platforms like Cursor, Replit, and Lovable, as well as features such as Claude Code and Codex — software development has become faster and more accessible. However, Rocket believes the real challenge lies elsewhere. “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, adding that “running a business and just building a codebase are two different things.”

In early testing, the platform was able to generate detailed product requirement documents in PDF format from simple prompts. These reports resemble structured consulting outputs rather than typical AI coding assistants or chatbots, which tend to focus more on execution and features.

That said, some of the platform’s insights appear to be compiled from existing datasets — including pricing benchmarks, user behavior trends, and competitor analysis — rather than independently verified data. This means users may still need to validate the outputs before relying on them for strategic decisions. According to Virani, human support is available if users need assistance.

Rocket also offers competitor tracking features, monitoring updates to rival websites and traffic patterns. The platform pulls from over 1,000 data sources, including Meta’s ad libraries, Similarweb’s API, and proprietary crawlers.

The company provides tiered subscription plans, starting at $25 per month for app-building tools, $250 for advanced strategy and research features, and up to $350 for full access, including competitive intelligence. The $250 plan can generate two to three “McKinsey-grade” research reports alongside product builds, positioning Rocket as a cost-effective alternative to traditional consulting services, which often charge significantly higher fees.

Rocket raised $15 million in a seed funding round in September, backed by Accel, Salesforce Ventures, and Together Fund. Since then, the company claims to have expanded its user base from 400,000 to over 1.5 million users across 180 countries. It also reported an annualized average revenue per user of around $4,000, though it did not share specific figures on paying customers. The startup operates with gross margins exceeding 50%, with 20% to 30% of its users coming from small and medium-sized businesses.

Currently, Rocket employs 57 people and is headquartered in Surat, with additional operations in Palo Alto.