We detected 335 customers using Affinity and 40 companies that churned or ended their trial. The most common industry is Financial Services (50%) and the most common company size is 11-50 employees (37%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Affinity
Affinity provides a relationship intelligence platform for dealmakers in private capital, investment banking, and professional services that automatically captures interactions and enriches CRM data using AI to surface warm introductions, manage deal pipelines, and accelerate relationship-driven deal processes without manual data entry.
Venture Capital and Private Equity Principals13 (4%)
Insurance3 (1%)
Software Development3 (1%)
📏 Company Size Distribution
11-50 employees121 (37%)
2-10 employees118 (36%)
51-200 employees40 (12%)
201-500 employees14 (4%)
10,001+ employees13 (4%)
🔧 What other technologies do Affinity customers also use?
Source: Analysis of tech stacks from 335 companies that use Affinity
Commonly Paired Technologies
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Shows how much more likely Affinity 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 something fascinating about Affinity users: they're predominantly private equity firms, venture capital investors, and investment banks. The presence of Juniper Square (private equity portfolio management) and DealCloud (deal flow and investor relations) appearing nearly 2000x and 1350x more frequently tells me these are financial services firms managing complex relationships and investment portfolios rather than traditional B2B software companies.
The pairing of Affinity with DealCloud is particularly revealing. Affinity handles relationship intelligence and tracks who knows whom, while DealCloud manages the actual deal pipeline and fund operations. This suggests a workflow where firms need both relationship mapping to source opportunities and structured deal management to close them. Similarly, Luminance appearing 318x more frequently makes sense because it's an AI tool for contract review and due diligence. These firms are managing legally complex transactions where relationship context matters as much as document analysis. Seismic's presence indicates these investment firms are creating sophisticated pitch materials and investment memos that need to be personalized and version-controlled.
The full stack reveals companies that are deeply relationship-led rather than product-led or marketing-led. These aren't businesses driving inbound traffic through content marketing. Instead, they're operating in a world where deals happen through networks, introductions, and trust-based relationships. The emphasis on data governance tools like Collibra suggests they're handling sensitive financial information at scale, likely mature firms with compliance requirements rather than early-stage startups.
👥 What types of companies is most likely to use Affinity?
Source: Analysis of Linkedin bios of 335 companies that use Affinity
Company Characteristics
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Shows how much more likely Affinity 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
Industry: Investment Management
106.7x
Industry: Financial Services
27.1x
Country: US
2.8x
Country: GB
2.1x
Company Size: 2-10
1.6x
Company Size: 11-50
1.6x
I analyzed these companies and found that Affinity's typical user operates in the alternative investment world. These aren't traditional banks or brokerages. They're private equity firms, venture capital funds, family offices, asset managers, and specialty finance companies. They deploy capital, raise funds, source deals, and manage portfolios across every asset class imaginable: from private equity and venture capital to real estate, infrastructure, private credit, and climate tech. Many describe themselves as "boutique," "independent," or "specialized," suggesting they differentiate through expertise rather than scale.
These are established, credible firms, not early-stage startups. The employee counts cluster around 10-50 people, with many in the 11-50 range. They manage serious capital (billions in many cases) but maintain lean teams. They've been around long enough to have track records, with founding dates often in the early 2000s or even earlier. Very few show recent funding rounds because they're not venture-backed themselves. They're the ones doing the backing.
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