We detected 1,160 customers using Render and 47 customers with estimated renewals in the next 3 months. The most common industry is Software Development (15%) and the most common company size is 2-10 employees (48%). Our methodology involves monitoring new entries and modifications to company DNS records.
Note: We are unable to detect churned customers for this vendor, only new customers
About Render
Render provides a unified cloud platform that enables developers to build, deploy, and scale applications, websites, and databases with automated deployments from Git, free TLS certificates, and managed infrastructure.
🔧 What other technologies do Render customers also use?
Source: Analysis of tech stacks from 1,160 companies that use Render
Commonly Paired Technologies
i
Shows how much more likely Render 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 Render attracts modern SaaS startups that are building product-led businesses with rapid deployment cycles. The presence of TailwindCSS suggests these are teams shipping user-facing products quickly, while the strong correlation with Stripe tells me they're building monetized applications from day one. These aren't experimental side projects. They're companies serious about generating revenue early.
The pairing of Render with Rewardful is particularly revealing. Rewardful handles affiliate and referral programs, which means these companies are leveraging word-of-mouth growth strategies typical of product-led SaaS. They're not investing heavily in traditional sales teams. Instead, they're building virality into their go-to-market motion. The combination with Posthog makes even more sense in this context. They're tracking user behavior obsessively, running surveys, and optimizing conversion funnels based on data rather than sales calls. BetterUptime's presence confirms they're running production applications where reliability directly impacts revenue and customer trust.
The full stack reveals product-led companies in their early to mid growth stage. They've found product-market fit and are focused on optimizing conversion and retention. They're data-driven, shipping features continuously, and building growth loops into their products rather than hiring SDR teams. The emphasis on monitoring and analytics tools suggests technical founders who understand that uptime and user experience are their primary sales channels.
👥 What types of companies is most likely to use Render?
Source: Analysis of Linkedin bios of 1,160 companies that use Render
Company Characteristics
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Shows how much more likely Render 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: Pre seed
40.6x
Country: NG
29.0x
Funding Stage: Seed
15.3x
Industry: Technology, Information and Internet
12.6x
Industry: Technology, Information and Media
11.2x
Funding Stage: Series unknown
11.0x
I noticed that Render's typical customers are builders and makers across an incredibly diverse range of sectors. These aren't companies selling physical products off shelves. They're creating digital platforms, SaaS tools, AI-powered solutions, and tech-enabled services. I see student mental health platforms, robotic cleaning systems, procurement matching tools, music distribution platforms, healthcare information systems, and retail media software. What unites them is that they're all building software products or technology-driven services that require reliable infrastructure to run.
Most of these companies are clearly early to mid-stage. The employee counts cluster heavily in the 2-10 and 11-50 range. When funding information appears, it's typically pre-seed, seed, or Series A stages. Many list no funding at all, suggesting bootstrapped or very early operations. The ambitious language combined with small team sizes tells me these are companies still proving product-market fit, not established enterprises optimizing mature products.
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