Technologies
Code Quality
Companies using Trunk Check

Companies using Trunk Check

Trunk Check is a code quality and linting tool that automates the verification of code changes before they're committed to version control, offering pre-commit checks, customizable rule enforcement, and integration with CI/CD pipelines to ensure consistent code standards.
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Companies using Trunk Check

Technology
is any of
Trunk Check Technology Logo/Icon
Trunk Check
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
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At the moment, we don't have any companies data for this specific technology. Please revisit this page some other time. To find the list of all technologies we track, please checkout our Technologies page.
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1
companies actively hiring with
Trunk Check
technology, including firmographic data,
7,561
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Developers using Trunk Check

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Ramesh M
Senior Java Developer
United States Country Flag Icon
United States
Accelya Group Company Logo
Accelya Group
21 years
Sandro Padin
MLOps Engineer
United States Country Flag Icon
United States
KPMG US Company Logo
KPMG US
15 years
Mohit Agarwal
Senior Cloud Solution Architect
France Country Flag Icon
France
Cognizant Technology Solutions Company Logo
Cognizant Technology Solutions
8 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Priya Mohanram
Senior Software Engineer
United States Country Flag Icon
United States
Mphasis Company Logo
Mphasis
8 years
Jiefei Wang
Head of Cloud Architect
United States Country Flag Icon
United States
Enovation Controls Company Logo
Enovation Controls
4 years
Sachin Pasalkar
Principal Software Engineer
India Country Flag Icon
India
EPAM Systems Company Logo
EPAM Systems
10 years

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7,561
developers actively working with
Trunk Check
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using Trunk Check?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

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How to target companies using Trunk Check

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

Trunk Check

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
Trunk Check

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Trunk Check technology?

Set up automated alerts to capture companies as they adopt

Trunk Check

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

Trunk Check

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

Trunk Check

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

Trunk Check

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Trunk Check?

Trunk Check is a cutting-edge technology that falls under the category of Developer Tools and Code Quality Assurance. It functions as an automated code verification system designed to catch issues before code is committed to a repository. By running a series of checks against code changes, Trunk Check helps development teams maintain high code quality standards and prevent problematic code from entering the main codebase. The tool operates at the pre-commit stage of the development workflow, analyzing code for potential bugs, style violations, security vulnerabilities, and other issues that could impact software quality.

From a technical perspective, Trunk Check employs a modular architecture that allows it to integrate with various linters, formatters, and static analysis tools. It aggregates results from multiple specialized tools into a unified interface, providing developers with comprehensive feedback on their code changes. The system is highly configurable, allowing teams to define custom rulesets and enforcement policies that align with their specific coding standards. Trunk Check can be integrated directly into developers' workflows through command-line interfaces, IDE plugins, and CI/CD pipelines, making it versatile for different development environments. What sets Trunk Check apart is its ability to run only relevant checks on changed files, significantly improving performance compared to running full scans on entire codebases.

In terms of market adoption, Trunk Check has gained popularity among software development teams of all sizes, from startups to enterprise organizations. It's particularly valued in environments where code quality is critical, such as financial services, healthcare applications, and large-scale software projects with multiple contributors. As organizations continue to emphasize DevOps practices and shift-left testing approaches, tools like Trunk Check are becoming essential components of modern software development toolchains. The future outlook for Trunk Check includes expanded language support, deeper integration with development environments, and enhanced machine learning capabilities to provide more intelligent code quality recommendations.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use Trunk Check?

Some of the companies that use Trunk Check include , and many more. You can find a complete list of 1 companies that use Trunk Check on Reo.Dev.

Who uses Trunk Check? Which industries use Trunk Check?

Trunk Check is used by a diverse range of organizations across various industries, including "Software Development", "Financial Services", "Healthcare Technology", "E-commerce", "Cloud Computing", and "Enterprise Software". For a comprehensive list of all industries utilizing Trunk Check, please visit Reo.Dev.

How many customers does

Trunk Check
have?
As of now, we have data on
1
companies that use
Trunk Check
.

Where is Trunk Check adoption highest worldwide? In which countries Trunk Check is used the most?

According to usage insights, Trunk Check sees the strongest adoption across several major tech hubs. United States leads with 1 companies using it.

How to find companies that use

Trunk Check
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

Trunk Check
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.