Cadence

Software that takes messy, scattered RevOps data and turns it into a single weekly revenue forecast that sales leaders actually trust and act on. A workflow, not a dashboard — makes the sales leader feel like they own the forecast. Most people think the problem is data — that if you just pipe everything into one place, forecasting gets better. It doesn't. The real problem is trust. Sales leaders don't act on forecasts they didn't help build, and they stop trusting them the moment one number looks off. The forecast is actually a weekly conversation between RevOps and the sales leader, and the tool has to facilitate that conversation, not just output a number. Everyone else builds better dashboards; Cadence builds a workflow that makes the sales leader feel like they own the forecast. Lena lived the exact problem firsthand for four years as a RevOps leader at a Series C SaaS company. She built the solution from scratch for her CRO and knows what "good" looks like because she delivered it — hitting forecast within 5% for six consecutive quarters. She understands the sales leader psychology, the data fragmentation, and the organizational dynamics that make forecasting hard. Her cofounder Marcus Tran built and owned Mixpanel's data ingestion pipeline processing billions of events a day, giving them the exact engineering muscle needed for this data reliability problem. Three things converged that didn't exist five years ago. First, the modern GTM stack exploded — teams run Salesforce, Gong, Clari, Outreach, HubSpot simultaneously, making data fragmentation dramatically worse. Second, AI finally makes it tractable to normalize and reconcile that mess in real time without a team of analysts. Third, the macro environment changed sales leadership's tolerance for forecast misses — when budgets were loose, being off by 15% was fine; now CFOs hold CROs accountable to the number in a way that makes forecast trust a board-level issue.