Companies that use Default

Source: Analysis of tech stacks from 116 companies that use Default

I noticed that companies using Default tend to be modern B2B software companies with sophisticated revenue operations and a strong focus on buyer intent signals. The concentration of tools like UnifyGTM, Hockeystack, and Koala tells me these are growth-stage startups obsessed with understanding which accounts are actually in market and ready to buy.

The pairing of Koala and Warmly is particularly revealing. Koala identifies when target accounts visit your website, while Warmly automates outreach to those warm visitors in real time. This suggests a coordinated strategy where companies want to catch buyers at the exact moment they show interest. Add Common Room to this mix, and you see companies building complete intent profiles by aggregating signals from community engagement, social media, and product usage. These aren't companies spraying and praying with cold outreach. They're waiting for buyers to raise their hands first.

The presence of Ashby alongside these revenue tools is interesting too. It's a modern applicant tracking system popular with high-growth startups, which confirms these are likely Series A through C companies scaling quickly and hiring aggressively. Hockeystack's attribution focus suggests they're measuring every touchpoint carefully, trying to understand what actually drives pipeline.

Source: Analysis of Linkedin bios of 116 companies that use Default

I noticed that Default's customers are predominantly B2B software companies building infrastructure, automation, and AI-powered tools. These aren't consumer apps. They're building platforms that other businesses depend on: sales enablement software, financial operations tools, data infrastructure, developer platforms, and customer support automation. Many are creating "the operating system for X" or "the platform that automates Y" for specific business functions.

These are overwhelmingly growth-stage companies. The majority have raised Series A or Series B funding, with rounds typically between $15M and $50M. Employee counts cluster in the 50-200 range, suggesting they've found product-market fit and are scaling. Very few are pre-seed or seed stage, and very few are mature enterprises with thousands of employees. They're in that critical phase where they need financial infrastructure that can scale with them but can't afford bloated enterprise systems.