Companies that use Frontegg

Source: Analysis of tech stacks from 12 companies that use Frontegg

I noticed that Frontegg users are B2B SaaS companies running sophisticated product-led growth motions with serious enterprise ambitions. The combination of HuggingFace, HubSpot Marketing Hub, and LinkedIn Ads tells me these are technical product companies that need to balance self-service adoption with outbound marketing to larger accounts. They're building products that developers and technical users discover organically, but they're also actively marketing to enterprise buyers.

The pairing of HuggingFace with Frontegg is particularly revealing. Companies using both are likely building AI or developer-focused products where authentication and user management complexity scales quickly. When you add Jira Service Desk to this mix, it confirms these companies are dealing with enterprise customers who expect robust support infrastructure. They're not just building for individual developers anymore, they're managing entire organizational deployments. LinkedIn Ads appearing so frequently suggests they're targeting decision-makers at specific companies, probably running account-based marketing campaigns to move upmarket.

My analysis shows these companies operate with a hybrid go-to-market strategy. They're product-led enough that Google Search Console matters significantly for organic discovery, but they're also running paid campaigns through LinkedIn and investing heavily in marketing automation through HubSpot. This suggests Series A to Series B stage companies that found initial traction with developers or smaller teams and are now scaling into enterprise accounts. They need authentication infrastructure that can handle both self-service signups and complex enterprise requirements like SSO and role-based access.

Source: Analysis of Linkedin bios of 12 companies that use Frontegg

I noticed that Frontegg's customers are predominantly B2B software companies building specialized platforms that handle complex, data-intensive workflows. They create tools for subscription management, procurement orchestration, customer data onboarding, conversational intelligence, and AI-powered automation. These aren't consumer apps but rather infrastructure and operational platforms that other businesses depend on. Several are building AI-powered solutions, from audio processing to taste prediction to email automation.

These are clearly growth-stage companies, not mature enterprises. The employee counts cluster between 10 and 70 people, with most in the 11-50 range. Funding stages span from seed rounds to Series B, with amounts ranging from $3M to $50M. Even the private equity backed companies like Qloo and SignUpGenius are relatively small at under 60 employees. These are companies past the MVP stage but still actively scaling their products and teams.