We detected 4,829 customers using Readme. The most common industry is Software Development (36%) and the most common company size is 11-50 employees (38%). Our methodology involves discovering internal subdomains and certificate transparency logs.
Note: We only can track companies that host their docs on their own domain. We are also unable to detect churned customers for this vendor, only new customers
About Readme
Readme provides a platform for creating and publishing interactive API documentation with features like version control, analytics, interactive API explorers, and Git-style workflows to help developer teams maintain synchronized documentation.
📊 Who in an organization decides to buy or use Readme?
Source: Analysis of 100 job postings that mention Readme
Job titles that mention Readme
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Based on an analysis of job titles from postings that mention Readme.
Job Title
Share
Technical Writer
18%
Software Engineer
16%
Backend Engineer
14%
Product Manager
9%
My analysis shows that Readme is primarily purchased by product and engineering leadership teams, though the buyers aren't heavily represented in these postings. The focus appears to be on hiring the practitioners who will use the tool daily. Technical Writers make up 18% of roles, followed by Software Engineers at 16% and Backend Engineers at 14%, with Product Managers at 9%. This suggests companies are building out documentation-focused teams and developer-facing infrastructure where Readme serves as a critical platform.
The day-to-day users are overwhelmingly technical practitioners responsible for creating and maintaining developer documentation. I noticed repeated emphasis on duties like "write clear technical documentation," "maintain API reference documentation," "develop user guides and technical content," and "document designs, write README notes." Engineers across multiple postings are expected to "create and maintain Power BI datasets," "write meaningful code reviews," and "maintain version control." The tool supports workflows spanning API documentation, SDK guides, developer portals, and technical product content that bridges internal teams and external developers.
The core pain point these companies face is making complex technical products accessible and usable. One posting emphasized the need to "simplify complex technical content" while another sought someone to "translate complex AI-driven product features into accessible content for a diverse audience." A third highlighted the goal of creating "clear, consistent, and human" documentation. Companies are clearly investing in documentation infrastructure to reduce support burden, accelerate developer onboarding, and enable self-service consumption of their technical products.
🔧 What other technologies do Readme customers also use?
Source: Analysis of tech stacks from 4,829 companies that use Readme
Commonly Paired Technologies
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Shows how much more likely Readme 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 companies using Readme are primarily B2B SaaS businesses with API products or developer-focused offerings. The strong correlation with StatusPage and AWS Route 53 tells me these companies are running mission-critical infrastructure that needs clear documentation and uptime transparency. They're selling to technical audiences who need detailed API references and integration guides.
The pairing with Vanta is particularly revealing. Companies that invest in compliance automation are serious about enterprise sales, which means they're documenting their APIs not just for hobbyists but for Fortune 500 customers with security requirements. The combination of Readme for documentation and StatusPage for transparency shows they understand that developer trust is built through clarity at every touchpoint. Chili Piper's presence reinforces this, it's an inbound meeting scheduler used by companies with high-velocity sales motions where technical evaluation happens quickly. These aren't companies doing six-month enterprise sales cycles. They're balancing product-led growth with sales assistance.
Looking at the full stack, these companies operate with a hybrid go-to-market strategy. They're product-led enough that developers can self-serve through documentation, but sales-assisted enough to need tools like HubSpot Marketing Hub and Chili Piper. The high correlation with Route 53 suggests growth-stage companies with real infrastructure complexity, not early startups. They've moved beyond basic hosting and are managing global DNS at scale.
👥 What types of companies is most likely to use Readme?
Source: Analysis of Linkedin bios of 4,829 companies that use Readme
Company Characteristics
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Shows how much more likely Readme 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
Funding Stage: Series C
96.0x
Funding Stage: Series B
39.8x
Funding Stage: Series A
38.8x
Industry: Blockchain Services
29.2x
Industry: Software Development
11.8x
Industry: Financial Services
8.2x
I noticed that Readme's typical customers are companies building technical infrastructure that connects systems, processes payments, or manages complex data flows. These aren't consumer apps or content businesses. They're building platforms, APIs, payment gateways, automation tools, and software that other businesses rely on. Whether it's Praxis "connecting businesses to payment processors," Corefy offering "integrations with 500+ payment providers," or Quickwork providing an "enterprise-grade iPaaS," these companies live in the plumbing layer of digital commerce and operations.
The funding signals suggest a sweet spot in the growth stage. I see lots of Series A and Series B companies with modest raises between $5M and $35M. There are some larger players like Riskified (post-IPO) and AvidXchange (1,700+ employees), but the center of gravity is companies with 50-200 employees who've proven product-market fit and are scaling. Many show zero or undisclosed funding, which likely means bootstrapped profitability rather than pre-revenue experiments.
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