Companies that use Syft

Source: Analysis of tech stacks from 91 companies that use Syft

I noticed companies using Syft have a distinctly modern, data-driven go-to-market approach. The presence of tools like Koala, Clay Web Intent, and UnifyGTM tells me these are B2B companies obsessed with signal-based selling. They're not doing traditional outbound. Instead, they're monitoring buyer intent, enriching data in real-time, and coordinating revenue teams around actual engagement signals rather than cold lists.

The pairing of Koala with Clay Web Intent is particularly revealing. Koala tracks which companies are visiting your website and what they're doing there, while Clay Web Intent identifies when target accounts are researching relevant topics across the web. Together, these tools create a comprehensive view of buyer interest before anyone fills out a form. Adding UnifyGTM into the mix suggests these companies are then routing those signals to the right sellers automatically. This is the workflow of teams that believe timing matters more than volume.

The inclusion of Ashby for recruiting and Incident.io for incident management points to relatively early-stage but operationally sophisticated companies. These aren't legacy enterprises. They're growth-stage startups that care deeply about velocity and coordination. The full stack screams sales-led growth, but with a product-led sensibility. They want their sales teams armed with context and perfect timing rather than just dialing for dollars.

Source: Analysis of Linkedin bios of 91 companies that use Syft

I noticed that Syft's customers are predominantly B2B technology and services companies, with a strong concentration in SaaS platforms, data infrastructure, and enterprise software. These aren't consumer apps. They're building tools for other businesses: AI-powered platforms, developer infrastructure, data streaming solutions, marketing automation, security software, and specialized vertical SaaS for industries like logistics, healthcare, and construction. Many operate in complex, technical domains where explaining value requires sophistication.

The funding and size signals point to growth-stage companies navigating scale. About 40% have raised institutional capital, mostly Seed through Series B, with employee counts clustering in the 11-50 and 51-200 ranges. These aren't pre-product startups or Fortune 500 giants. They're in that crucial middle phase where they've achieved product-market fit and now face operational complexity: managing multiple data sources, scaling customer acquisition, proving ROI to enterprise buyers, and professionalizing finance operations while maintaining velocity.