Analyze how top SaaS companies scale from 50 to 1000+ employees. Data shows fastest startups grow 12x in headcount over 30 months post product-market fit.
Discover how statistical analysis of startup fundraising data can be misleading, with key insights on Series A/B seasonality and round size patterns in venture capital.
Learn how startups can build competitive advantage using proxy metrics and data-driven insights. A practical guide to measuring what matters in real-time.
Analyze 30 billion-dollar startups: 70% have technical founders, but success isn't tied to founder backgrounds. Key data on team size, education & tech skills.
Analyze startup funding trends: seed rounds triple while Series A-D grow 9-14% annually. Key fundraising data reveals dramatic market shifts in 2016.
Analyze key metrics and benchmarks of top-performing Series A SaaS companies, including revenue growth rates and funding characteristics from 2013-2016.
Explore how data challenges our assumptions through the famous Monty Hall problem that stumped 1000+ PhDs. Key lessons for startup founders on data-driven decision making.
Analyze 2016's startup funding landscape: Early-stage rounds hit 34% of $42B total venture capital, reaching dot-com era levels. Key metrics reveal market shifts.
Learn proven recruiting metrics from Greenhouse VP Maia Josebachvili to optimize your startup's talent acquisition funnel and scale faster with data-driven hiring.
Discover why consumer startups capture 50% of megaround VC funding vs just 30% of overall venture dollars, and what's driving this late-stage investment trend.
