We detected 102 customers using LinearB and 1 companies that churned or ended their trial. The most common industry is Software Development (100%) and the most common company size is 201-500 employees (32%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
Note: Our data specifically only tracks LinearB Enterprise users.
About LinearB
LinearB provides enterprise-ready software engineering intelligence with AI-driven insights, workflow automations, and financial reporting that helps engineering leaders boost team productivity, optimize resource allocation, improve developer experience, and demonstrate business impact through full visibility into engineering operations and performance metrics.
🔧 What other technologies do LinearB customers also use?
Source: Analysis of tech stacks from 102 companies that use LinearB
Commonly Paired Technologies
i
Shows how much more likely LinearB 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 LinearB users run sophisticated B2B SaaS companies with enterprise sales motions and a strong focus on customer success. The presence of tools like Gainsight, Rocketlane, and Qualified tells me these are companies selling complex products with longer sales cycles, where customer onboarding and retention are critical to the business model. They're investing heavily in both pre-sale and post-sale experiences, which suggests higher contract values and strategic customer relationships.
The pairing of Drift Premium and Qualified is particularly revealing. Both are premium conversational tools designed to qualify and route high-intent buyers in real-time. These companies are clearly running account-based marketing strategies where speed-to-lead matters enormously. Add in UserTesting, and I see organizations that are constantly validating their product experience and messaging with real users before pushing changes live. They're data-driven and won't rely on assumptions. The Rocketlane correlation reinforces this, as it's specifically built for customer onboarding. These companies know that time-to-value determines whether enterprise deals expand or churn.
My analysis shows these are sales-led organizations, likely in the growth or scale-up stage. They've found product-market fit and are now optimizing their entire revenue engine. The customer success infrastructure (Gainsight, Rocketlane) indicates they're managing meaningful ARR and focusing on net revenue retention. The premium sales tools suggest deal sizes that justify significant investment in the buying experience. These aren't early-stage startups experimenting with free trials, they're companies with repeatable enterprise sales processes.
👥 What types of companies is most likely to use LinearB?
Source: Analysis of Linkedin bios of 102 companies that use LinearB
Company Characteristics
i
Shows how much more likely LinearB customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Software Development
16.2x
I noticed LinearB's customers are overwhelmingly B2B software companies building technical products for other businesses. These aren't consumer apps or e-commerce sites. They're creating enterprise platforms, developer tools, SaaS solutions for specific industries (healthcare IT, real estate tech, hospitality management, procurement systems), and infrastructure software. Many serve highly regulated industries or provide mission-critical systems where reliability and security matter deeply.
These are predominantly growth-stage and mature companies, not early startups. The employee counts tell the story: most have 200 to 5,000+ employees, with many in the 500 to 2,000 range. Funding stages skew toward later rounds (Series C, D, E, private equity, or post-IPO). I see established businesses with real scale: "trusted by thousands of customers," "processing billions in transactions," "serving millions of users." These companies have moved past product-market fit and are scaling operations, which means they have substantial engineering teams to manage.
Alternatives and Competitors to LinearB
Explore vendors that are alternatives in this category