We detected 188 customers using PromptWatch and 42 companies that churned or ended their trial. The most common industry is Software Development (22%) and the most common company size is 11-50 employees (39%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
👥 What types of companies is most likely to use PromptWatch?
Source: Analysis of Linkedin bios of 188 companies that use PromptWatch
Company Characteristics
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Shows how much more likely PromptWatch 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: Seed
31.3x
Industry: Software Development
15.1x
Industry: Technology, Information and Internet
13.9x
Country: NL
9.8x
Company Size: 51-200
3.5x
Country: US
2.3x
I noticed that PromptWatch users are incredibly diverse in what they build, but they share a common thread: they're in the business of solving real problems through technology or specialized services. I see AI phone agents for restaurants, ERP platforms for Southeast Asia, interactive video tools, compliance automation software, and everything from industrial cooling systems to luxury home exchanges. Many are B2B SaaS companies, but just as many are service providers, marketplaces, or manufacturing businesses that have adopted AI to enhance their operations.
These companies span the full lifecycle spectrum. I see pre-seed startups with 2-10 employees alongside Series D companies with 500+ staff. However, the sweet spot appears to be growth-stage companies: those with 11-200 employees who've found product-market fit and are scaling. Many have raised seed or Series A funding (ranging from $2M to $25M), suggesting they're past the earliest validation phase but still building momentum. The presence of established enterprises with no recent funding rounds tells me PromptWatch also serves mature companies modernizing their tech stack.
A salesperson should understand that PromptWatch customers are builders and problem-solvers who value practical tools over buzzwords. They're often technical enough to evaluate AI infrastructure themselves, but they're focused on shipping product and serving customers, not managing observability platforms. They want tools that work immediately and integrate seamlessly, because they're moving fast and can't afford operational overhead.
🔧 What other technologies do PromptWatch customers also use?
Source: Analysis of tech stacks from 188 companies that use PromptWatch
Commonly Paired Technologies
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Shows how much more likely PromptWatch 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 PromptWatch users tend to be B2B SaaS companies with a strong product-led growth motion, backed by sophisticated analytics and attribution. The combination of PostHog User Surveys for product feedback, Rewardful for affiliate management, and Clearbit for lead enrichment tells me these are companies obsessed with understanding their users and optimizing every stage of their funnel.
The pairing of PostHog User Surveys with PromptWatch makes perfect sense. If you're monitoring AI prompts and LLM performance, you're likely also deeply invested in understanding user behavior and collecting feedback about AI-driven features. The presence of Rewardful alongside these tools is particularly telling. It suggests these companies are using partner and affiliate channels to grow, which is common among developer tools that spread through community and word-of-mouth. OpenSend appearing frequently indicates they're running multi-channel outreach campaigns, likely targeting technical buyers who need multiple touchpoints.
The full stack reveals companies that blend product-led and sales-assisted motions. They're using LinkedIn Ads to reach enterprise buyers while simultaneously building viral loops through Rewardful. Incident.io appearing in the mix suggests these are engineering-first organizations that prioritize operational excellence and have reached enough scale to need formal incident management. These aren't early-stage startups still finding product-market fit. They're likely Series A or B companies that have proven their product works and are now scaling go-to-market.
A salesperson should understand that PromptWatch customers are analytically sophisticated and probably evaluate tools rigorously. They care deeply about attribution and measurement, as evidenced by Clearbit and PostHog. They're likely technical buyers or product leaders who want data to back up decisions. The conversation should focus on concrete metrics, integration capabilities, and how PromptWatch fits into their existing observability stack rather than high-level value propositions.