We detected 1,549 customers using Builtin, 276 companies that churned or ended their trial, and 18 customers with estimated renewals in the next 3 months. The most common industry is Software Development (35%) and the most common company size is 51-200 employees (23%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Builtin
Builtin operates an AI-powered recruitment and employer branding platform that connects tech professionals with companies through job listings, company profiles, and content communities. The platform helps employers measure and optimize their reputation in AI search tools while enabling candidates to discover vetted opportunities aligned with their career goals.
🔧 What other technologies do Builtin customers also use?
Source: Analysis of tech stacks from 1,549 companies that use Builtin
Commonly Paired Technologies
i
Shows how much more likely Builtin customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that companies using Builtin are mid-to-late stage tech companies with a strong engineering culture and sophisticated operational systems. The combination of tools like Statsig, Cursor, and PagerDuty signals organizations building complex products with data-driven approaches, while Greenhouse and Highspot point to companies actively scaling their teams and revenue operations.
The pairing of Greenhouse with Builtin makes perfect sense since both tools serve hiring needs. These companies are in growth mode, using Greenhouse for applicant tracking while leveraging Builtin for employer branding and candidate pipeline generation. The extremely high correlation with Statsig is particularly telling. It's a modern experimentation platform used by engineering-forward companies that make product decisions based on data rather than gut feel. These organizations pair technical rigor in product development with systematic approaches to talent acquisition. PagerDuty's presence reinforces this, showing these are companies running production systems at scale with on-call rotations and incident management needs.
The full picture reveals sales-led organizations with strong product and engineering foundations. Highspot, a sales enablement platform, appears far more often than you'd expect by chance, indicating robust go-to-market teams that need sophisticated content management and training tools. These aren't early-stage startups figuring things out. They're companies with 100 to 1000+ employees who have moved past scrappy growth into building repeatable systems. The presence of Golinks, an internal knowledge management tool, confirms they're dealing with coordination challenges that come with scale.
👥 What types of companies is most likely to use Builtin?
Source: Analysis of Linkedin bios of 1,549 companies that use Builtin
Company Characteristics
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Shows how much more likely Builtin customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Funding Stage: Private equity
54.7x
Funding Stage: Series unknown
15.4x
Industry: Software Development
6.5x
Company Size: 501-1,000
4.7x
Company Size: 1,001-5,000
4.7x
Industry: Technology, Information and Internet
3.2x
I analyzed these companies and found that Builtin's typical customer operates in one of three main categories: they're either building software infrastructure and developer tools (like MongoDB, Postman, and Zapier), providing financial services through technology platforms (like Circle, Kalshi, and Airwallex), or delivering AI-powered solutions for specific industries like healthcare, logistics, or customer service (like Jasper, AKASA, and Assembled).
These are predominantly growth-stage companies that have found product-market fit and are scaling aggressively. I noticed most have raised Series B or later funding, with many sitting in the 200-1,000 employee range. They're past the scrappy startup phase but haven't calcified into enterprise bureaucracy yet. The funding amounts are substantial (often $50M+), and several are post-IPO or have been acquired by larger players, suggesting they've proven their models work.
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