Companies that use DebugBear

Analyzed and validated by Henley Wing Chiu ยท Updated
All โ€บ error tracking and application debugging โ€บ DebugBear

DebugBear We detected 1,140 companies using DebugBear, 219 companies that churned, and 59 customers with upcoming renewal in the next 3 months. The most common industry is Retail (11%) and the most common company size is 51-200 employees (29%). We find new customers by detecting JavaScript snippets or configurations on customer websites.

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Company Employees Industry Country Region Usage Start Date
Timely 11โ€“50 Software Development
Canada
North America 2026-10-04
Onninen Polska 1,001โ€“5,000 Wholesale
Poland
Europe 2026-10-02
HRDQ 2โ€“10 Retail
United States
North America 2026-09-30
GONSER AG 51โ€“200 Retail
Switzerland
Europe 2026-09-29
Double Wood Supplements Intl. 2โ€“10 Retail
United States
North America 2026-09-25
Suma Soft Pvt Ltd 1,001โ€“5,000 IT Services and IT Consulting
India
Asia 2026-09-15
Lashbrook 51โ€“200 Wholesale
United States
North America 2026-09-11
Koalaยฎ 201โ€“500 Retail
Australia
Oceania 2026-09-11
Vermund Larsen A/S - VELA, VELA Medical & VERMUND 51โ€“200 Furniture
Denmark
Europe 2026-09-04
Toyota of Seattle 51โ€“200 Motor Vehicle Manufacturing
United States
North America 2026-09-04
Sterling Automotive Group 501โ€“1,000 Motor Vehicle Manufacturing
United States
North America 2026-09-02
Showing 1-20

New Users (Companies) Detected Over Time

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Market Insights

๐Ÿข Top Industries

Retail 111 (11%)
Software Development 105 (11%)
Technology, Information and Internet 75 (8%)
Travel Arrangements 39 (4%)
IT Services and IT Consulting 30 (3%)

๐Ÿ“ Company Size Distribution

51-200 employees 325 (29%)
11-50 employees 264 (24%)
2-10 employees 204 (18%)
201-500 employees 134 (12%)
1,001-5,000 employees 85 (8%)

๐Ÿ”ง What other technologies do DebugBear customers also use?

Source: Analysis of tech stacks from 1,140 companies that use DebugBear

Commonly Paired Technologies
i
Technology
Likelihood
401.2x
105.7x
I noticed that DebugBear users are heavily focused on digital advertising and website monetization. The overwhelming presence of ad tech platforms like Criteo, Google Adwords, and ChatGPT Ads tells me these are companies that depend on advertising revenue or paid acquisition. They're not just running occasional campaigns. They're serious about optimization across multiple channels, which makes sense when you consider DebugBear's core focus on performance monitoring.

The pairing with Microsoft Clarity is particularly revealing. Clarity provides heatmaps and session recordings, which combined with DebugBear's performance metrics suggests these companies are actively diagnosing why pages might be underperforming. They're not just measuring load times in isolation. They're connecting performance issues to actual user behavior. The presence of Marfeel, a content monetization platform for publishers, reinforces this pattern. Publishers need lightning-fast page speeds because every millisecond affects both ad viewability and user engagement. Criteo showing up so frequently makes perfect sense too, since their dynamic retargeting ads can add significant page weight, and companies need to monitor that impact carefully.

The full stack reveals marketing-led organizations that are probably in growth or scale-up phases. These aren't early-stage startups experimenting with a single channel. They're sophisticated operators running multiple ad platforms simultaneously and deeply invested in conversion optimization. The high correlation with PromptWatch, an AI monitoring tool, suggests they're also early adopters testing newer technologies while still maintaining rigorous performance standards.

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