Companies that use Cursor in a Open Source Repo

Analyzed and validated by Henley Wing Chiu
All AI code assistant Cursor in a Open Source Repo

Cursor in a Open Source Repo We detected 1,572 companies using Cursor in a Open Source Repo. The most common industry is Software Development (42%) and the most common company size is 2-10 employees (47%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists. Note: We only track companies with open-source Github repos that use Cursor. We track all companies using the advanced plan of Cursor here

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
0xbase.ai 2–10 N/A N/A N/A
1goto.ai 2–10 N/A N/A N/A
1inch Network 11–50 Software Development VG +42.9%
1Password 1,001–5,000 Computer and Network Security CA +14.3%
312.dev 2–10 N/A N/A N/A
4aiteknoloji.com 2–10 N/A N/A N/A
7Block Labs 11–50 IT Services and IT Consulting GB N/A
7Span 201–500 Information Technology & Services IN -2.3%
Aareon France 201–500 Software Development FR +2.9%
Airbridge 51–200 Technology, Information and Internet US -7.6%
Autism & Behavioral Spectrum 51–200 Mental Health Care N/A +30.6%
AccelByte 201–500 Software Development US -44.6%
ACT Ltd 201–500 Education Administration Programs GB +1.1%
Acueducto 11–50 Information Technology & Services MX +10.2%
adclickint.com 2–10 N/A N/A N/A
addsales.com 2–10 N/A N/A N/A
adysunventures.com 2–10 N/A N/A N/A
Agricultores Federados Argentinos SCL 1,001–5,000 Farming AR N/A
agenttown.app 2–10 N/A N/A N/A
Agentuity 2–10 Technology, Information and Internet US +160%
Showing 1-20 of 1,572

Market Insights

🏢 Top Industries

Software Development 464 (42%)
Technology, Information and Internet 187 (17%)
IT Services and IT Consulting 89 (8%)
Financial Services 44 (4%)
Blockchain Services 37 (3%)

📏 Company Size Distribution

2-10 employees 745 (47%)
11-50 employees 385 (24%)
51-200 employees 235 (15%)
201-500 employees 86 (5%)
501-1,000 employees 43 (3%)

👥 What types of companies use Cursor in a Open Source Repo?

Source: Analysis of Linkedin bios of 1,572 companies that use Cursor in a Open Source Repo

I noticed these companies span an incredibly diverse range of what they actually build and sell. There's a strong presence of software development shops and IT consultancies building custom solutions for clients (7Span, Acueducto, Boldare), blockchain and Web3 infrastructure providers (1inch Network, Berachain, Akash Network), developer tooling and platforms (Activepieces, Attio, Apollo.io), and AI-focused companies (AiTech, Bahasa.ai, Bayseian). Many are creating technical infrastructure, whether that's data platforms, automation tools, or specialized vertical software.

These are predominantly early to mid-stage companies. The majority have small to medium team sizes (11-50 or 51-200 employees), and many explicitly mention funding rounds (Seed, Series A-D). I saw multiple Y Combinator companies and pre-seed startups alongside a few larger enterprises like Amadeus with 10,000+ employees. The funding stages range from bootstrapped to Series D, but most cluster in the Seed to Series B range, suggesting growth-stage companies actively scaling.

🔧 What other technologies do Cursor in a Open Source Repo customers also use?

Source: Analysis of tech stacks from 1,572 companies that use Cursor in a Open Source Repo

Commonly Paired Technologies
i
Technology
Likelihood
4694.4x
3129.2x
2415.6x
1025.2x
685.3x
401.3x
I noticed that companies using Cursor in open source repositories are distinctly engineering-first organizations that have embraced AI-assisted development as a core competency. The presence of Claude Code appearing 3,129 times more frequently tells me these are teams that have gone all-in on AI coding tools, not just dabbling. Combined with incident management and operational tools, this suggests venture-backed startups building technical products where engineering velocity is a competitive advantage.

The pairing of Cursor with Incident.io (685 times more likely) is particularly revealing. These companies are shipping code fast enough that they need sophisticated incident management, which means they're running production systems at scale with real users. The appearance of Pylon, a customer support tool for technical products, reinforces this. They're building for developers or technical audiences who expect both rapid iteration and high reliability. Golinks showing up 401 times more frequently suggests these teams have reached a size where internal knowledge management matters, typically 30-50 people or more, but they're using lightweight tools that don't slow them down.

The full stack reveals product-led growth companies in the Series A to Series B range. They're not using heavy enterprise sales tools. Instead, they're investing in engineering productivity (Cursor, Claude Code), operational excellence (Incident.io, Panther for security monitoring), and developer experience. These companies likely offer API-first products or developer tools themselves, which explains why they maintain active open source repositories. They understand their buyers are technical and will evaluate their engineering practices.

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