We detected 345 customers using DX and 29 companies that churned or ended their trial. The most common industry is Software Development (46%) and the most common company size is 201-500 employees (23%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About DX
DX provides engineering leaders with data-driven insights into developer productivity by combining quantitative metrics from development tools with qualitative feedback from developers. The platform helps organizations measure performance, identify bottlenecks, track AI adoption impact, and make informed decisions to improve engineering effectiveness and developer experience.
🔧 What other technologies do DX customers also use?
Source: Analysis of tech stacks from 345 companies that use DX
Commonly Paired Technologies
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Shows how much more likely DX 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 DX users are distinctly modern, well-funded technology companies obsessed with internal efficiency and developer productivity. The presence of tools like Glean for AI-powered search and Golinks for internal knowledge shortcuts tells me these are scale-ups that have grown fast enough to develop information silos but are sophisticated enough to solve them proactively. They're likely Series B through pre-IPO companies with large engineering teams that treat internal tooling as seriously as their external products.
The pairing of Decagon AI and Statsig is particularly revealing. Decagon handles AI-powered customer support while Statsig manages feature flagging and experimentation. Together, they suggest a company that's automating customer-facing functions while maintaining tight control over product rollouts. These companies are shipping fast but carefully. The combination of Glean and Golinks reinforces this: they're creating institutional knowledge systems because they've scaled beyond the point where everyone knows where everything is. Adding Tines for workflow automation shows they're eliminating repetitive tasks wherever possible.
My analysis shows these are definitively product-led growth companies in their expansion phase. They're not sales-led because sales-led organizations don't typically invest this heavily in developer experience and internal automation. They're past the scrappy startup phase but still optimizing for velocity. The tech stack screams "we have 200-1000 employees, meaningful revenue, and we're trying to maintain startup speed at scale." They've likely raised significant venture capital and are prioritizing efficiency metrics as they approach profitability or prepare for an IPO.
👥 What types of companies is most likely to use DX?
Source: Analysis of Linkedin bios of 345 companies that use DX
Company Characteristics
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Shows how much more likely DX 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
9.5x
Country: US
1.5x
Company Size: 51-200
1.4x
I noticed that DX customers span an incredibly wide range of industries, but they share a common thread: they're building digital platforms that connect people to services or products. Many are marketplaces like Zocdoc connecting patients to doctors, Thumbtack connecting homeowners to service providers, or Back Market enabling refurbished tech sales. Others are SaaS companies providing essential business infrastructure like Pendo.io, OutSystems, or athenahealth. Financial services firms like Sunbit, OakNorth, and Coinbase are also well-represented, alongside major enterprises in travel, retail, and healthcare.
These companies cluster heavily in the growth and scale-up phase. I see lots of Series A through Series E funding rounds, with many in the 200 to 2,000 employee range. There are also established public companies and private equity-backed firms that have reached maturity but continue investing in digital transformation. The funding amounts are substantial, with many raising $50M to $200M+ rounds, signaling serious growth ambitions.
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