Technologies
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Companies using Mochajs

Companies using Mochajs

Mocha.js is a feature-rich JavaScript test framework running on Node.js and in the browser, designed for asynchronous testing with flexible reporting, browser support, and customizable test interfaces including BDD, TDD, and QUnit styles.
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Companies using Mochajs

Technology
is any of
Mochajs Technology Logo/Icon
Mochajs
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Amwell
United States Country Flag Icon
United States
-
10
Capgemini
France Country Flag Icon
France
$23.6B
77,867
Cosm
United States Country Flag Icon
United States
-
10
Cribl
United States Country Flag Icon
United States
$17.5M
35
DerbySoft
United States Country Flag Icon
United States
$32M
31
Disney General Entertainment Content
United States Country Flag Icon
United States
$24.8B
1
Ethereum Foundation
Switzerland Country Flag Icon
Switzerland
-
2
Frontline Education
United States Country Flag Icon
United States
$220M
30
Ohpen
Netherlands Country Flag Icon
Netherlands
$35M
1
Planday
Denmark Country Flag Icon
Denmark
$38M
2
Showing 10 of
159
results
Page 1 of
16

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Unlock the full database of
159
companies actively hiring with
Mochajs
technology, including firmographic data,
4,219
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Developers using Mochajs

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Sunile Manjee
Senior Principal Search AI Specialist
United States Country Flag Icon
United States
Databricks Company Logo
Databricks
19 years
Bin Yi
Cloud-Native Software Engineer
United States Country Flag Icon
United States
Google Company Logo
Google
20 years
Nathan Duke
Software Engineer
United States Country Flag Icon
United States
Analog Devices Company Logo
Analog Devices
7 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Sheryl Hohman
Cloud Operations Manager
United States Country Flag Icon
United States
Pegasystems Company Logo
Pegasystems
5 years
Henry Finucane
Staff SRE
United States Country Flag Icon
United States
Dartmouth Health Company Logo
Dartmouth Health
4 years
Neil
Head of DevOps
United States Country Flag Icon
United States
Agile Defense Company Logo
Agile Defense
5 years

Want access to the complete developers list?

Unlock the full contact information of
4,219
developers actively working with
Mochajs
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
View All Contacts

What would you like to do with company-level technographics data that are using Mochajs?

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.

Learn more

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How to target companies using Mochajs

How to build your target account list?

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

Mochajs

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
Mochajs

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt Mochajs technology?

Set up automated alerts to capture companies as they adopt

Mochajs

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

Mochajs

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

Mochajs

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

Mochajs

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is Mochajs?

Mocha.js is a cutting-edge technology that falls under the category of JavaScript Testing Frameworks. It provides developers with a robust and flexible environment for testing JavaScript applications, supporting both synchronous and asynchronous testing methodologies. Created by TJ Holowaychuk in 2011, Mocha has evolved into one of the most widely adopted testing frameworks in the JavaScript ecosystem, particularly valued for its versatility across both Node.js and browser environments.

Technically, Mocha functions as a test runner that executes test suites and reports results with remarkable flexibility. It stands out for its agnostic approach to assertions, allowing developers to choose their preferred assertion libraries such as Chai or Should.js. Mocha's architecture supports multiple interfaces including Behavior-Driven Development (BDD), Test-Driven Development (TDD), and QUnit styles, accommodating different testing philosophies. The framework excels in handling asynchronous code through promises, async/await syntax, and callback support, making it particularly valuable for modern JavaScript applications. Its reporting capabilities are extensive, offering various output formats from simple spec reporters to more elaborate HTML and JSON reporters for integration with CI/CD pipelines.

In terms of market adoption, Mocha has established itself as a cornerstone technology in the JavaScript testing ecosystem. It's commonly used alongside other tools like Istanbul for code coverage and Sinon for mocks and stubs, creating comprehensive testing environments. Organizations ranging from startups to enterprise-level companies implement Mocha in their development workflows, appreciating its balance of simplicity and power. As JavaScript continues to dominate web development, Mocha's role remains secure, though it faces competition from newer frameworks like Jest that offer more integrated solutions. The framework continues to evolve with regular updates that maintain compatibility with the latest JavaScript features and testing methodologies.

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 Mochajs?

Some of the companies that use Mochajs include Amwell, Capgemini, Cosm, Cribl, DerbySoft, Disney General Entertainment Content, Ethereum Foundation, Frontline Education, Ohpen, Planday, and many more. You can find a complete list of 159 companies that use Mochajs on Reo.Dev.

Who uses Mochajs? Which industries use Mochajs?

Mocha.js is used by a diverse range of organizations across various industries, including "Software Development", "Financial Services", "E-commerce", "Healthcare Technology", "Education Technology", and "Media and Entertainment". For a comprehensive list of all industries utilizing Mocha.js, please visit Reo.Dev.

How many customers does

Mochajs
have?
As of now, we have data on
159
companies that use
Mochajs
.

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

According to usage insights, Mochajs sees the strongest adoption across several major tech hubs. United States leads with 54 companies using it, followed by United Kingdom (9) and India (6).Other regions with significant Mochajs usage include Canada (4), France (3), Netherlands (3), and Germany (2).Overall, Mochajs enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

Mochajs
?

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

Mochajs
?

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.