We detected 286 companies using Dub. The most common industry is Software Development (34%) and the most common company size is 2-10 employees (59%). We find new customers by detecting JavaScript snippets or configurations on customer websites.
Note: We track companies that installed the Dub script to track affiliate referrals and conversions
Source: Analysis of Linkedin bios of 286 companies that use Dub
Company Characteristics
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Shows how much more likely Dub 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 B
73.1x
Funding Stage: Series A
62.8x
Funding Stage: Pre seed
43.6x
Industry: Technology, Information and Media
26.2x
Industry: Software Development
18.4x
Industry: Technology, Information and Internet
18.1x
I analyzed these 98 companies and found that Dub's typical user is building software products, often with AI at the core. The majority are SaaS companies creating tools for specific workflows: developer platforms, content creation tools, business automation software, and AI agents. They're not selling physical products or generic services. They're building applications that other businesses or creators will use daily. Even the non-software companies in this list tend to be digitally native or tech-forward operations.
These are predominantly early-stage, venture-backed startups. I see a heavy concentration of seed and Series A companies, with funding rounds typically between $2M and $30M. Many have small teams of 11-50 employees, though some are even smaller at 2-10. They're past the idea stage but still building and iterating rapidly. The presence of YC-backed companies is notable. These aren't enterprises with complex procurement processes, they're fast-moving teams making quick technology decisions.
๐ง What other technologies do Dub customers also use?
Source: Analysis of tech stacks from 286 companies that use Dub
Commonly Paired Technologies
i
Shows how much more likely Dub 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 Dub users are predominantly developer-focused, product-led growth companies building modern SaaS tools. The combination of PostHog for feature flags and user surveys, Mintlify for documentation, and Loops.so for email marketing tells me these are early-stage startups that prioritize experimentation, developer experience, and automated user engagement. They're building tools for technical audiences and relying on product virality rather than traditional sales teams.
The pairing of PostHog Feature Flags with Dub makes perfect sense because both companies are running continuous experiments on their core product features. If you're using Dub for link management and analytics, you're likely also testing different product experiences and tracking how users respond. The prevalence of Mintlify is particularly telling since it's a documentation platform for developer tools. This suggests Dub users are building API-first products that need excellent technical documentation. Meanwhile, Loops.so appearing frequently indicates these companies use transactional and lifecycle email campaigns to drive product adoption without human intervention.
The full stack reveals these are product-led companies in early growth stages, probably between seed and Series A. They're not sales-led because there's no indication of heavy CRM or sales engagement tools. Instead, they're focused on instrumentation (PostHog), user education (Mintlify), and automated communication (Loops.so). They want to understand exactly how users interact with their product and iterate quickly based on data.
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