Monster India
Internet
Company overview
Monster India is a leading online job portal that connects job seekers and employers across India. The company provides an array of recruitment solutions, including resume search, job postings, and employer branding services. With a huge database of job seekers and comprehensive tools to scrutinize valuable data, Monster India helps employers find and recruit the right talent. It also supports job seekers with access to thousands of job opportunities and resources to enhance their careers. Monster India has been in operation for over two decades, and its platform is constantly evolving with technological advancements to enhance the recruitment experience.
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Technology stack
Monster India uses Webpack to efficiently bundle open-source JavaScript modules for optimized web application deployment.
Monster India uses Open Graph to integrate any web page into the social graph.
Monster India uses LottieFiles to integrate an open-source animation file format, enabling tiny, high-quality, interactive animations that are manipulable at runtime.
Monster India uses Quora Pixel to track website traffic and measure conversions.
Monster India uses Microsoft Clarity to analyze website performance and user behavior by providing detailed usage statistics, session recordings, and heatmaps.
Monster India uses Google Analytics to track and report its website traffic.
Monster India uses Facebook Pixel to measure the effectiveness of its advertising.
Monster India uses Elastic APM for free and open application performance monitoring.
Monster India uses CleverTap to streamline customer lifecycle management and drive mobile marketing success.
Monster India uses HSTS to instruct browsers to access its site exclusively over secure HTTPS connections.
Monster India uses Akamai to leverage its global content delivery network (CDN) services for efficient media and software delivery and robust cloud security solutions.
Monster India uses Microsoft Advertising, an online advertising platform developed by Microsoft, to reach target audiences effectively through online advertising campaigns.
Monster India uses Criteo to provide personalized retargeting, serving personalized online display advertisements to consumers who previously visited Monster India's website.
Monster India uses DoubleClick Floodlight to track and attribute user conversions directly from advertising campaigns, providing essential data for measuring ROI, optimizing ad spend, and building targeted audience segments.
Monster India uses Google Tag Manager to quickly and easily manage and update measurement and related tags on their website or mobile app.
Monster India uses lit-html to create simple, modern, safe, small, and fast HTML templates within JavaScript applications.
Monster India uses lit-element to create highly interoperable web components that seamlessly integrate into any web page or framework, leveraging lit-html for efficient shadow DOM rendering and a dedicated API for property and attribute management.
Monster India uses core-js to provide a modular standard library for JavaScript and enable compatibility for cutting-edge ECMAScript features through polyfills.
Monster India uses Boomerang, a JavaScript library, to provide Real User Measurement (RUM) by measuring the page load time experienced by real users.
Monster India uses Funding Choices to comply with the EU General Data Protection Regulation (GDPR) and recover lost revenue from ad blocking users.
Monster India uses Akamai mPulse to monitor, find, and fix website and application performance issues.
Monster India uses Priority Hints to optimize resource fetching by signaling relative priorities to browsers.
Monster India uses Next.js to develop single page Javascript applications built with the React framework.
Monster India uses Amazon Web Services to power its operations and applications with a comprehensive cloud services platform offering compute power, database storage, content delivery, and other functionality.
Monster India uses Elasticsearch to provide a distributed, multitenant-capable full-text search engine, built on Lucene, with an HTTP web interface and support for schema-free JSON documents.