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Gathering insights about Datahug

Datahug Tech Stack

Datahug uses 8 technology products and services including AdRoll, TrackJS, Google Fonts API, and more. Explore Datahug's tech stack below.

  • AdRoll
    Advertising
  • TrackJS
    Analytics
  • Google Fonts API
    Font Scripts
  • BEM
    Javascript Frameworks
  • Angular
    Javascript Frameworks
  • Epoch
    Javascript Graphics
  • Pardot
    Marketing
  • PHP
    Programming Languages

Datahug's Email Address Formats

Datahug uses at least 1 format(s):
Datahug Email FormatsExamplePercentage
First.Last@datahug.comJohn.Doe@datahug.com
50%
First.Last@datahug.comJohn.Doe@datahug.com
50%

Frequently Asked Questions

Where is Datahug's headquarters located?

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Datahug's main headquarters is located at 180 Sansome St., San Francisco, CA 94104, US. The company has employees across 2 continents, including North AmericaEurope.

What is Datahug's phone number?

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You can contact Datahug's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

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

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Datahug's official website is datahug.com and has social profiles on LinkedInCrunchbase.

What is Datahug's SIC code NAICS code?

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Datahug's SIC code is 7375 - Information Retrieval Services NAICS code is 5112 - Software Publishers.

How many employees does Datahug have currently?

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As of October 2025, Datahug has approximately 51 employees across 2 continents, including North AmericaEurope. Key team members include Software Developer: S. O.. Explore Datahug's employee directory with LeadIQ.

What industry does Datahug belong to?

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Datahug operates in the Software Development industry.

What technology does Datahug use?

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Datahug's tech stack includes AdRollTrackJSGoogle Fonts APIBEMAngularEpochPardotPHP.

What is Datahug's email format?

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Datahug's email format typically follows the pattern of First.Last@datahug.com. Find more Datahug email formats with LeadIQ.

How much funding has Datahug raised to date?

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As of October 2025, Datahug has raised $4M in funding. The last funding round occurred on May 01, 2013 for $4M.

When was Datahug founded?

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Datahug was founded in 2009.

Datahug

Software DevelopmentUnited States51-200 Employees

Datahug is a collaborative forecasting and pipeline management solution, built in Salesforce, that enables sales teams to increase sales velocity and reduce pipeline risk. Our solution gives sales managers deep visibility into the sales pipeline while reducing the burden on salespeople to update CRM.

The old way of managing the pipeline with activity tracking and complex sales methodologies puts a heavy burden on salespeople, creates blind spots for managers and wastes hours of time that would be better spent selling or coaching. 

Datahug captures and analyzes all of your sales activity automatically from email, calendar and CRM, providing you with deal level visibility, more time for coaching, less burden on sales reps and more accurate forecasts in a solution that has zero barriers to adoption.

Leading companies like Optimizely, Coupa, Instructure, Lyft and Nitro use Datahug to forecast with 95% accuracy and increase win rates by an average of 21%.

Section iconCompany Overview

Headquarters
180 Sansome St., San Francisco, CA 94104, US
Phone number
SIC Code
7375 - Information Retrieval Services
NAICS Code
5112 - Software Publishers
Founded
2009
Employees
51-200

Section iconFunding & Financials

  • $4M

    Datahug has raised a total of $4M of funding over 2 rounds. Their latest funding round was raised on May 01, 2013 in the amount of $4M.

  • $1M$10M

    Datahug's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $4M

    Datahug has raised a total of $4M of funding over 2 rounds. Their latest funding round was raised on May 01, 2013 in the amount of $4M.

  • $1M$10M

    Datahug's revenue is estimated to be in the range of $1M$10M

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