We detected 101 customers using Groundcover. The most common industry is Software Development (37%) and the most common company size is 2-10 employees (29%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.
Note: Our data specifically only tracks Groundcover Enterprise users.
👥 What types of companies is most likely to use Groundcover?
Source: Analysis of Linkedin bios of 101 companies that use Groundcover
I noticed that Groundcover's customers are predominantly companies building complex software products that need to run reliably at scale. These aren't simple SaaS tools. They're fintech platforms processing millions of transactions (CAIS, Sunbit, justt), developer infrastructure companies (RevenueCat, FusionAuth), cybersecurity solutions handling sensitive data (Cyberhaven, Salt Security, Checkmarx), and AI-powered products (Tennr, Flip, Defined.ai). Many operate in regulated industries where downtime is expensive and observability is critical.
Most are in the growth to scale-up phase. I see a concentration of Series B and Series C companies (Cyberhaven, Riskified, Learneo, EX.CO), typically with 50 to 500 employees. Some are post-IPO or backed by private equity (Workday, Riskified, Perion), indicating they've reached significant scale. Even the smaller companies often mention serving thousands of customers or processing massive volumes. These aren't early experiments. They're established products facing the operational challenges that come with real traction.
🔧 What other technologies do Groundcover customers also use?
Source: Analysis of tech stacks from 101 companies that use Groundcover
Commonly Paired Technologies
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Shows how much more likely Groundcover customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Groundcover users are B2B SaaS companies with sophisticated technical operations and a strong emphasis on both product analytics and security compliance. The presence of Mixpanel Enterprise alongside tools like SafeBase and Incident.io tells me these are growth-stage companies serving enterprise customers who need to demonstrate security posture while maintaining deep product insights.
The pairing of Incident.io with Groundcover makes perfect sense. These companies are running production systems where observability and incident response go hand in hand. When something goes wrong, they need both the monitoring data from Groundcover and the coordination layer from Incident.io to respond effectively. Similarly, Kandji appearing frequently suggests these companies manage significant engineering teams with Apple devices, which tracks with fast-growing tech companies. SafeBase shows up because these companies are selling to enterprises who demand security questionnaires and compliance documentation, so they need tools that make vendor security reviews smooth.
My analysis shows these are product-led growth companies transitioning to enterprise sales. The combination of deep product analytics through Mixpanel Enterprise with compliance enablement through SafeBase reveals a specific playbook: use product data to drive initial adoption, then build enterprise sales capabilities as they move upmarket. The incident management and observability stack tells me they're at a stage where reliability directly impacts revenue, likely Series B or C companies with meaningful ARR who can't afford downtime.
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