Companies that use ReadTheDocs

Source: Analysis of tech stacks from 153 companies that use ReadTheDocs

I noticed that ReadTheDocs users are overwhelmingly developer-focused companies building technical products for technical audiences. The presence of tools like Weights and Biases (ML experiment tracking) and Docker Hub at such elevated rates tells me these are companies shipping infrastructure, developer tools, or data science products where comprehensive documentation isn't just nice to have but essential for adoption. They're likely product-led companies where documentation quality directly impacts conversion and retention.

The pairing of ReadTheDocs with Weights and Biases is particularly revealing. These companies are building complex ML infrastructure where users need detailed guides to implement sophisticated workflows. Similarly, the Docker Hub correlation makes perfect sense since containerization requires clear documentation about image configurations, deployment patterns, and integration steps. The appearance of Cursor, a code editor, suggests these companies have engineering teams that prioritize developer experience and modern tooling. Vanta's presence indicates they're mature enough to care about compliance and security certifications, which matters when selling to enterprise customers even in a product-led model.

The full picture shows product-led growth companies at the growth or scale stage. Amplitude's analytics platform suggests they're measuring user activation and feature adoption carefully. Atlassian StatusPage indicates they're running production services where uptime matters to customers. These aren't early-stage startups figuring things out, they're companies with real users who depend on their products and need transparent communication about service health.

Source: Analysis of Linkedin bios of 153 companies that use ReadTheDocs

I noticed that ReadTheDocs users are overwhelmingly technical infrastructure companies building complex, developer-facing products. These aren't consumer apps or simple SaaS tools. They're creating AI platforms, quantum computing systems, network automation software, semiconductor chips, embedded systems, and scientific research tools. Many sell directly to other technology companies or enterprises with sophisticated technical needs. A significant subset operates in highly regulated industries like finance, healthcare, and defense where precision and reliability matter enormously.

These companies span a wide range of maturity. About half are well-funded growth companies (Series A through C, often backed by top-tier VCs like Sequoia), while the other half are bootstrapped or mature businesses with 50-200 employees. Many have been around 5-15 years, suggesting they've moved past the earliest startup phase but aren't yet massive enterprises. The funding amounts vary wildly, from seed rounds to $200M Series C checks.