Companies that use Koala

Source: Analysis of tech stacks from 442 companies that use Koala

I noticed that companies using Koala are heavily invested in signal-based revenue intelligence. The combination of Common Room, RB2B, and Vector.co tells me these are B2B companies obsessed with capturing buying intent signals from multiple sources. They're building sophisticated systems to identify anonymous visitors, track community engagement, and synthesize data into actionable insights for their go-to-market teams.

The pairing of Koala with RB2B is particularly revealing. RB2B identifies website visitors at the company level, while Koala helps route and act on that information. These companies aren't just tracking who visits their site, they're building automated workflows to immediately engage high-intent prospects. Adding Common Room to the mix suggests they're also monitoring product communities, Slack groups, and social channels for buying signals. They want every possible data point about prospect engagement.

The presence of UnifyGTM and Vector.co rounds out the picture. These companies are connecting their signal detection tools to their entire revenue stack. They're not satisfied with siloed data. They want unified views that help sales and marketing teams coordinate around the same intelligence. This is a modern, highly instrumented go-to-market motion.

Source: Analysis of Linkedin bios of 442 companies that use Koala

I noticed that Koala's customers are predominantly B2B software and technology companies building products for other businesses. These aren't consumer apps or e-commerce stores. They're creating infrastructure tools, SaaS platforms, developer tools, financial services software, and specialized vertical solutions. Companies like Svix building webhooks infrastructure, Ditto creating mobile databases, Metriport handling healthcare data exchange, and Zenskar automating billing systems. There's a strong concentration in developer-focused products, AI/ML platforms, and backend infrastructure.

These are overwhelmingly early to growth-stage companies. I counted 31 companies at seed stage or pre-seed, another 15 at Series A, and only a handful beyond Series B. Employee counts cluster heavily in the 11-50 range, with many in the 2-10 bracket. The funding amounts are modest, typically $2-10M. Even the more established companies describe themselves with startup language and growth mentality. This isn't enterprise software from the 2000s, these are companies founded in the last 5-7 years.