Case Study: Coffee Meets Bagel achieves daily AWS cost visibility and saves thousands with CloudForecast

How Coffee Meets Bagel Relies On CloudForecast's Cost Reports To Save Money On AWS

Coffee Meets Bagel, a San Francisco dating‑app startup that heavily runs on AWS, struggled with surprise monthly bills and the complexity of native AWS cost tools and CSV reports. Needing simple, day‑to‑day visibility without building an in‑house solution, Coffee Meets Bagel evaluated tools and selected CloudForecast’s AWS cost monitoring and reporting tool for clear daily and monthly spend reports and easy slicing by tags.

CloudForecast delivers tailored daily cost reports via email and Slack that highlight anomalies by team and tag, enabling engineers and the CFO to spot issues quickly. Using CloudForecast, the team caught costly ECS usage from a deprecated data model, zombie on‑demand instances, oversized GPU instances and unnecessary staging tests—saving thousands of dollars per day and “tens of thousands” over the engagement—while improving ownership, forecasting (e.g., Revenue/DAU) and operational cost control.

Coffee Meets Bagel

Stephen Brandon

Manager of Engineering and Infrastructure