The Comprehensive List of Local Software and SaaS Companies Gregslist is the curated up-to-date list of local software and SaaS companies in 12 major cities in North America.

The dataset comprises nearly 5000 rows of information extracted from the Greslist website, encompassing diverse organizations across the United States. Each entry represents a unique company and offers a comprehensive array of details, including:

Company Name: The official name of the company. Founder Name: The name(s) of the individual(s) who founded the company. Founder LinkedIn ID: The LinkedIn profile link of the founder(s) for further exploration. Number of Employees: A range denoting the size of the company's workforce. Funding Type: Indicates the manner in which the company secured financial support, such as self-funded or VC-funded. Year Founded: The establishment year of the company. Software Type: Specifies the type of software or technological solutions provided by the company, often categorized as B2B SaaS (Software as a Service). Industry Type: Describes the sector or field in which the company operates. Category: Identifies the specific niche or domain the company falls under. Size of Company: Classifies the company based on its magnitude, ranging from small to large. Company Website: The official web address of the company for accessing detailed information. Company LinkedIn ID: The LinkedIn profile link of the company, facilitating networking and professional connections. City: The geographical location of the company, typically denoting the city of operation. Address: The physical address of the company's headquarters or primary office location. Short Description: A succinct overview of the company's offerings, such as products or services rendered.

The dataset serves multiple potential use cases across various domains:

Market Research: Researchers and analysts can utilize the dataset to conduct comprehensive market research, gaining insights into trends, competition, and opportunities within specific industries or niches in the US market. Startup Ecosystem Analysis: Entrepreneurs, investors, and ecosystem builders can leverage the dataset to study the dynamics of the startup ecosystem, including founding trends, funding patterns, and geographical distribution of companies. Investment Decision Making: Venture capitalists, angel investors, and financial analysts can use the dataset to identify promising investment opportunities by analyzing factors such as company growth trajectories, funding types, and industry focus. Business Development: Sales and marketing professionals can utilize the dataset to identify potential partnership opportunities, target specific industries or regions for expansion, and tailor their outreach strategies based on company profiles and characteristics. Recruitment and Talent Acquisition: Human resources professionals and recruiters can explore the dataset to identify companies of interest, understand their growth stages, and target recruitment efforts towards specific industries, cities, or company sizes. Policy Making and Economic Development: Policymakers, economic development agencies, and government organizations can leverage the dataset to assess the health of various industries, identify areas for intervention or support, and formulate strategies to promote economic growth and innovation.

About Dataset

Context

Analytics refers to the methodical examination and calculation of data or statistics. Its purpose is to uncover, interpret, and convey meaningful patterns found within the data. Additionally, analytics involves utilizing these data patterns to make informed decisions. It proves valuable in domains abundant with recorded information, employing a combination of statistics, computer programming, and operations research to measure performance.

Businesses can leverage analytics to describe, predict, and enhance their overall performance. Various branches of analytics encompass predictive analytics, prescriptive analytics, enterprise decision management, descriptive analytics, cognitive analytics, Big Data Analytics, retail analytics, supply chain analytics, store assortment and stock-keeping unit optimization, marketing optimization and marketing mix modeling, web analytics, call analytics, speech analytics, sales force sizing and optimization, price and promotion modeling, predictive science, graph analytics, credit risk analysis, and fraud analytics. Due to the extensive computational requirements involved (particularly with big data), analytics algorithms and software utilize state-of-the-art methods from computer science, statistics, and mathematics.

Data Dictionary

Content

This Dataset contains information of 22700+ Software Professionals with different features like their Salaries (₹), Name of the Company, Company Rating, Number of times Salaries Reported, and Location of the Company.

Extra Features Added: 1. Employment Status 2. Job Roles

Acknowledgements

This Dataset is created from https://www.glassdoor.co.in/. If you want to learn more, you can visit the Website.

Roles Included:

Android Developer Android Developer - Intern Android Developer - Contractor Android Developer Contractor Senior Android Developer Android Software Engineer Android Engineer Android Applications Developer - Intern Android Applications Developer Android App Developer - Intern Senior Android Developer and Team Lead Android Tech Lead Product Engineer (Android) Software Engineer - Android Android Software Developer Android Software Developer - Intern Senior Android Developer Contractor Junior Android Developer - Intern Junior Android Developer Android Applications Developer - Contractor Android App Developer Lead Android Developer Android Engineer - Intern Sr. Android Developer Senior Android Engineer Senior Software Engineer - Android Android - Intern Android Android & Flutter Developer - Intern Associate Android Developer Senior Android Applications Developer Android Developer Trainee Sr Android developer Android Trainee Android Trainee - Intern Trainee Android Developer Android Lead Android Lead Developer Android Development - Intern Android Development Android Team Lead Senior, Android Developer Lead Android Engineer Tech Lead- Android Applications Developer Senior Android Software Developer Full Stack Android Developer Android Framework Developer Android Architect Android & Flutter Developer Senior Software Engineer, Android Android App Development Sr Android Engineer Android Team Leader Android Technical Lead SDE2(Android) Web Developer/Android Developer - Intern Android Applications Develpoers Android Platform Developer - Intern Android Test Engineer Senior Engineer - Android Android Framework Engineer Game Developer ( Android, Windows) Android Testing Senior Software Engineer (Android/Mobility) Ace - Android Development Software Developer (Android) - Intern Android Mobile Developer Android and Flutt...