Insights

Gathering insights about DagsHub…

Similar companies to DagsHub

DagsHub Tech Stack

DagsHub uses 8 technology products and services including HubSpot Analytics, jsDelivr, Ghost, and more. Explore DagsHub's tech stack below.

HubSpot Analytics
Analytics
jsDelivr
Content Delivery Network
Ghost
Content Management System
Font Awesome
Font Scripts
jQuery
Javascript Libraries
Python
Programming Languages
reCAPTCHA
Security
Cloudflare Bot Management
Security

Media & News

DagsHub's Email Address Formats

DagsHub uses at least 1 format(s):

DagsHub Email Formats	Example	Percentage
First@dagshub.com	John@dagshub.com	50%
First@dagshub.com	John@dagshub.com	50%

Frequently Asked Questions

Where is DagsHub's headquarters located?

DagsHub's main headquarters is located at San Francisco, US. The company has employees across 2 continents, including AsiaNorth America.

What is DagsHub's official website and social media links?

DagsHub's official website is dagshub.com and has social profiles on LinkedIn.

How much revenue does DagsHub generate?

As of June 2024, DagsHub's annual revenue reached $750K.

What is DagsHub's NAICS code?

DagsHub's NAICS code is 5112 - Software Publishers.

How many employees does DagsHub have currently?

As of June 2024, DagsHub has approximately 22 employees across 2 continents, including AsiaNorth America. Key team members include Co-Founder & Ceo: P.Cmo: D. T.Co-Founder & Cto: G. S.. Explore DagsHub's employee directory with LeadIQ.

What industry does DagsHub belong to?

DagsHub operates in the Software Development industry.

What technology does DagsHub use?

DagsHub's tech stack includes HubSpot AnalyticsjsDelivrGhostFont AwesomejQueryPythonreCAPTCHACloudflare Bot Management.

What is DagsHub's email format?

DagsHub's email format typically follows the pattern of . Find more DagsHub email formats with LeadIQ.

DagsHub

Software DevelopmentSan Francisco, United States11-50 Employees

Dagshub is an AI platform that simplifies the process of building better models and managing unstructured data projects by consolidating data, code, experiments, and models in one place.