$58-116k
+ Equity. Salary dependent on location.
More information about location
Universal code search and code intelligence for developers
Open for applications
Universal code search and code intelligence for developers
101-200 employees
Open for applications
$58-116k
+ Equity. Salary dependent on location.
More information about location
101-200 employees
To make it so everyone, in every community, in every country, and in every industry can create products using the best technology.
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To make it so everyone, in every community, in every country, and in every industry can create products using the best technology.
Inspired by code search engines like OpenGrok, Livegrep, and Google Code Search, Sourcegraph has developed a robust tool that allows developers to swiftly search through code across an entire organization, including third-party libraries and any programming language. While similar systems are used by large-scale organizations, Sourcegraph aims to make this powerful code search capability accessible to every developer.
Searching through extensive codebases, especially during debugging, can be time-consuming and tiresome. Sourcegraph streamlines this process, saving time and reducing stress for both individuals and businesses. The platform offers a free version for all developers, while revenue is generated through enterprise-specific features tailored for large corporations.
Recently the company launched Cody, an open-source AI tool that enhanced coding practices. Utilizing models like GPT-4 Turbo and StarCoder, Cody offers smart code suggestions and contextual insights within popular code editors. As software development continues to evolve, Cody exemplifies Sourcegraph's dedication to driving progress and shaping the future of development with innovative AI solutions.
Steph
Company Specialist at Welcome to the Jungle
Jul 2021
$125m
SERIES D
Dec 2020
$50m
SERIES C
This company has top investors
Quinn Slack
(CEO)Previously co-founded Blend Labs, an Enterprise Technology company with ~500 employees dedicated to improving home lending. They also worked at Palantir Technologies, where they created a technology platform to help two of the top five U.S. banks recover from the housing crisis.
Beyang Liu
(CTO)Previously a Software Engineer at Palantir Technologies, where they developed new data analysis software on a small, customer-facing team working with Fortune 500 companies. Beyang studied Computer Science at Stanford, where they published research in probabilistic graphical models and computer vision at the Stanford AI Lab.
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