What problem does it solve? Understanding why a private SaaS company's valuation multiple compressed or expanded between funding rounds requires scattered research across press coverage, investor posts, and market benchmarks, with no structured framework for attributing the change. ## Core Features & Use Cases - Round-by-Round Multiple Analysis: Researches funding rounds, valuations, and ARR via web search, then computes ARR multiples and compression percentages for each consecutive round pair. - Cause Attribution Framework: Rates macro rate cycles, growth deceleration, narrative shifts, AI premium, competition, and investor demand as Primary, Contributing, or Not applicable. - Benchmarked Visualization: Renders metric cards, line charts versus private-market medians, log-term decomposition bars, and peer comparisons using dated reference data in references/benchmarks.md. - Use Case: Ask why a company's Series C multiple compressed versus its Series B, and receive a chart-backed verdict such as "the multiple compressed 36% but ARR grew 5x, so valuation still rose about 3.2x." ## Quick Start Analyze the valuation compression between Vercel's Series D and Series E rounds and explain the primary causes.