Companies that use Squid

Source: Analysis of tech stacks from 70 companies that use Squid

I analyzed the tech stack patterns and found that Squid users are clearly B2B companies running aggressive outbound sales motions with a heavy focus on identifying and converting anonymous website visitors. The dominant theme here is visitor intelligence and lead generation. These companies want to know exactly who's browsing their site before those visitors ever fill out a form.

The pairing of RB2B, Apollo.io Website Visitor Tracker, and Warmly tells a compelling story. These are all tools designed to de-anonymize website traffic and immediately turn that data into actionable sales opportunities. RB2B identifies company visitors, Apollo's tracker layers in contact data, and Warmly enables real time engagement. Together, they create a system where the sales team can literally watch prospects browse the site and reach out within minutes. Factors.ai fits this same workflow, adding attribution data so teams understand which marketing touchpoints actually drive these valuable visits.

The full picture reveals sales-led organizations that are probably in growth stage, likely Series A to C. These aren't early startups experimenting with product-led growth, and they're not enterprise companies with established inbound funnels. They're companies actively hunting for customers, investing in tools that maximize every piece of visitor data. The presence of Fraud Blocker suggests they're also running paid advertising and want to protect that spend, while Vector.co indicates they're likely testing various approaches to capture and route leads efficiently.

Source: Analysis of Linkedin bios of 70 companies that use Squid

I noticed that Squid's users span a remarkably wide range of industries, but they share a common thread: they're building or operating technology platforms that need to scale. These aren't just tech companies using software. They're companies running complex operations that rely heavily on data infrastructure, integrations, and modern cloud architecture. I see SaaS platforms (like Teambridge's "AI-native contingent workforce management" and Flosum's "Salesforce-native governance platform"), data companies (Revefi's "AI data engineer"), developer tools (Bugsee's bug reporting), and marketing tech platforms (Tiger Pistol's "local advertising platform"). Even the non-tech companies here like Keller Associates civil engineering or Metro Wire & Cable are likely using Squid to power internal systems or customer-facing applications.

These companies skew toward growth stage. About 40% show funding history, mostly Series A through Series C, with funding amounts ranging from $3M to $28M. Employee counts cluster in the 11-50 and 51-200 ranges, though some stretch to 200-500. These aren't tiny startups or massive enterprises. They're companies that have found product-market fit and are scaling their infrastructure to support growth.