Companies that use Koala

Based on an analysis of Linkedin bios of random 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.

The language these companies use is strikingly consistent. They promise to help customers "scale operations," "automate workflows," and "eliminate manual work." Phrases like "purpose-built for," "built specifically for," and "designed for" appear constantly, emphasizing their vertical specialization. Many describe themselves as making complex things simple: "makes computer vision simple," "Modern B2B Collection," "kills back-office work for startups." There's an obsession with speed and efficiency, with companies claiming they help customers do things "in minutes, not months" or deliver results "95% faster."

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.

A salesperson should understand that Koala's buyer is typically a founder, head of growth, or early GTM leader at a technical B2B startup. They're resource-constrained, moving fast, and obsessed with efficiency. They value tools that integrate quickly, don't require implementation projects, and show ROI immediately. They're building for other businesses, so they deeply understand buying processes and expect vendors to respect their time.

Based on an analysis of tech stacks from 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.

My analysis shows these are likely Series A to Series C B2B SaaS companies with sales-led or hybrid go-to-market strategies. They've moved past basic marketing automation and are investing in sophisticated signal orchestration. A salesperson talking to Koala prospects should understand they're dealing with revenue operations leaders who think systematically about intent data. These buyers already believe in buying signals and PLG principles. They're looking for tools that integrate seamlessly, provide actionable intelligence quickly, and help them be more efficient with existing headcount rather than just adding more sales reps.