Companies that use Dependabot

Source: Analysis of job postings that mention Dependabot (using the Bloomberry Jobs API)

My analysis shows that Dependabot purchasing decisions are driven primarily by engineering leadership and security teams, with Director of Engineering and Security Director roles appearing in the leadership segment. These buyers are focused on scaling secure software delivery, reducing technical debt, and embedding security into CI/CD pipelines. Their strategic priorities center on DevSecOps transformation, vulnerability management at scale, and creating developer-friendly security guardrails that don't slow down delivery velocity.

The day-to-day users are predominantly DevOps Engineers (28%) and Security Engineers (24%), with Software Engineers and Platform Engineers also heavily involved. These practitioners integrate Dependabot into their broader security scanning workflows alongside tools like Snyk, SonarQube, and Trivy. They use it for dependency management, automated pull requests for security updates, and reducing supply chain risk. I noticed these users are responsible for configuring scanning schedules, triaging findings, managing remediation workflows, and ensuring vulnerable dependencies are updated before reaching production.

The postings reveal companies are trying to accomplish shift-left security and reduce the burden on developers. Phrases like "shift security left within the software delivery platform," "automate dependency management across ecosystems," and "implement policy for compliant deployments" appear repeatedly. Organizations want to "eliminate sensitive data exposure across source code" and provide "strong supply-chain protection throughout the software development lifecycle." The emphasis on automation, developer experience, and compliance-ready delivery shows Dependabot fits into broader efforts to make security transparent and automatic rather than a manual gate.

Source: Analysis of Linkedin bios of 6,804 companies that use Dependabot

I noticed that Dependabot users span a remarkably diverse range of technical builders. These aren't just generic "software companies." They're creating specific, tangible products: cloud infrastructure platforms like Vercel and Vultr, financial services APIs like Upvest and Verivend, privacy compliance tools like Usercentrics, voting systems like VotingWorks and Vocdoni, and developer tools like Bruno and Vellum. What unites them is that they're all building software that other businesses depend on, whether that's payment processing, data infrastructure, cybersecurity, or development platforms.

These companies cluster heavily in the growth and scale-up phase. While there are some enterprise giants like Vox Media and Utility Warehouse, and early pre-seed startups like Twill, the majority sit in that 11-200 employee range with Series A or B funding. They've proven product-market fit and are now scaling their engineering teams and customer bases. The funding amounts (typically $5M to $40M) and employee counts suggest companies past the survival stage but still growing rapidly.

Source: Analysis of tech stacks from 6,804 companies that use Dependabot

I noticed that Dependabot users are almost exclusively GitHub-native engineering organizations that have adopted a security-first, infrastructure-as-code approach to software development. The overwhelming correlation with GitHub Actions (1377x more likely) and GitHub Advanced Security (2554x more likely) tells me these are companies that have committed deeply to the GitHub ecosystem rather than spreading across multiple platforms. They're building automated, scalable development workflows where security and dependency management are treated as critical engineering priorities, not afterthoughts.

The pairing of Terraform and Helm with Dependabot reveals something specific about their architecture. These companies are running cloud-native infrastructure with Kubernetes deployments and treating infrastructure as code. Dependabot fits naturally here because when you're automating infrastructure deployments, you also need automated dependency updates to prevent security vulnerabilities from creeping into your infrastructure definitions. The high correlation with Claude Code suggests these teams are also early adopters of AI coding tools, indicating they're progressive engineering organizations always looking for ways to automate and accelerate development.

The full stack reveals product-led companies in growth or scale-up stages. These aren't early startups cobbling together basic tools, nor are they enterprise giants moving slowly. They're sophisticated engineering teams building products where uptime, security, and deployment velocity matter competitively. The Verified GitHub Organization correlation indicates they care about their public developer presence, suggesting many are likely building developer tools, APIs, or infrastructure products where their GitHub profile serves as social proof.