Companies that use AthenaHQ

Source: Analysis of tech stacks from 62 companies that use AthenaHQ

I noticed that AthenaHQ users are clearly B2B software companies with sophisticated, signal-based go-to-market strategies. The presence of tools like Common Room, Koala, and UnifyGTM tells me these companies are obsessed with identifying buying intent across multiple channels. They're not waiting for leads to come to them. They're actively monitoring product usage signals, community engagement, and third-party intent data to find prospects who are already in buying mode.

The combination of Koala for website visitor identification, Common Room for community and product signals, and Chili Piper for instant meeting scheduling reveals a specific workflow: these companies want to strike while the iron is hot. When someone shows interest, whether by visiting pricing pages, engaging in their Slack community, or demonstrating product usage patterns, they want sales on it immediately. UnifyGTM appearing so frequently suggests they're also unifying data across their entire revenue stack to get a complete picture of each account.

The full stack screams modern sales-led growth at the growth stage, probably Series A to C. These companies have moved beyond basic form fills and are investing in expensive, specialized tools to gain competitive advantages in sales efficiency. Ashby's presence indicates they're hiring aggressively and care about recruiting operations, which fits a well-funded growth stage company. They're not product-led in the pure sense, but they are using product signals to fuel their sales motion.

Source: Analysis of Linkedin bios of 62 companies that use AthenaHQ

I noticed AthenaHQ's customers span an incredibly diverse range of what they actually build and sell. There are luxury rose delivery services, AI-powered student information systems, identity verification platforms, creative talent marketplaces, packaging machinery manufacturers, jewelry insurance providers, and pet food companies. What unites them isn't their product category but rather that they're operating in complex, often digitally-native business models that require sophisticated operations behind seemingly simple customer experiences.

The stage distribution is fascinating. While there are established players like Dolby Laboratories and SymphonyAI with thousands of employees, the majority sit in that critical 11-200 employee range. Many are Series A or Seed stage with funding between $3M and $25M. I see Y Combinator backing, recent raises, and companies explicitly calling out their growth trajectory. These aren't raw startups figuring out product-market fit, nor are they mature enterprises on autopilot. They're in that demanding scale-up phase.