Companies that use Gleap

Source: Analysis of Linkedin bios of 114 companies that use Gleap

I analyzed these 89 companies and found that Gleap's typical customers are building software products and digital platforms across a remarkably wide range of applications. They're creating SaaS tools (CRMs, marketing automation, project management), fintech platforms (payment processing, BNPL, crypto), B2B marketplaces, AI-powered solutions, and industry-specific software for restaurants, construction, hospitality, and healthcare. What unites them isn't the industry but the fact that they're all delivering digital experiences to end users who need support.

These are predominantly early to mid-stage growth companies. The employee counts cluster heavily in the 11-50 range, with many showing recent seed or Series A funding. I see funding amounts typically between $500K and $10M when disclosed. Many were founded in the last 5-7 years. They're past the scrappy MVP stage but still building their customer base and refining their product-market fit. A handful are more established (+ employees), but the majority are in that critical scaling phase.

Source: Analysis of tech stacks from 114 companies that use Gleap

I noticed that Gleap users are clearly B2B SaaS companies with a strong product-led growth orientation. The presence of tools like Linear for product management, BetterUptime for status monitoring, and Gleap itself for customer feedback suggests these companies are obsessed with product quality and rapid iteration. They're building software products where user experience directly impacts retention and growth.

The pairing of HubSpot App Marketplace with Apollo.io Website Visitor Tracker tells me these companies are running sophisticated outbound sales motions while also building ecosystem plays through marketplace integrations. They're not just waiting for users to arrive. They're actively hunting prospects and turning anonymous website traffic into sales opportunities. Meanwhile, Lemlist appearing so frequently confirms they're running personalized email sequences at scale, which fits perfectly with the Apollo data capture.

What's particularly interesting is seeing Linear alongside customer-facing tools like Gleap and BetterUptime. This suggests tight feedback loops where customer issues and feature requests flow directly into sprint planning. These aren't companies with slow enterprise development cycles. They're moving fast, shipping often, and closely monitoring uptime because their customers expect always-on reliability.