Startup Brain is an artificial intelligence tool designed to analyze and provide insights based on real world startup data. Its primary function is to offer users access to a structured knowledge base that documents the specific actions, financial figures, and strategic missteps of actual companies. Each piece of information is linked to its original source, allowing users to verify the data and understand the context behind each example. The tool is built on a database of startup plays, reported metrics, and failure cases. Users can query the AI to learn what tactics other startups employed, what numbers they achieved, and what mistakes led to their decline. This enables a research driven approach to decision making, where founders and team members can reference concrete evidence rather than abstract advice. Typical use cases include investigating growth strategies for a specific industry, reviewing common pitfalls in fundraising or product development, and comparing performance benchmarks from similar companies. The workflow generally involves entering a question or topic, receiving a curated summary with source citations, and then following the links to original reports or articles for deeper investigation. Technical details about the underlying model or data sources are not specified in the publicly available information. The tool is accessible via its website and appears to function as an interactive database rather than a real time advisory system. Its value lies in the traceability of each insight, providing a factual foundation for strategic planning in early stage and growth stage companies.