Eventbrite

Total investments

2

Average round size

2M

Portfolio companies

2

Rounds per year

0.13

Areas of investment
InternetSoftwareInformation TechnologyCollaborationEnterprise SoftwareEvent Management

Summary

Eventbrite appeared to be the Corporate Investor, which was created in 2006. The main department of described Corporate Investor is located in the San Francisco. The venture was found in North America in United States.

The fund is constantly included in less than 2 deals per year. The important activity for fund was in 2017. Deals in the range of 1 - 5 millions dollars are the general things for fund.

This organization was formed by Julia Hartz, Kevin Hartz, Renaud Visage.

For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most successful fund investment fields, there are Event Management, Internet. Among the most popular portfolio startups of the fund, we may highlight ImpactFlow. Besides, a startup needs to be aged 4-5 years to get the investment from the fund.

The usual cause for the fund is to invest in rounds with 2 partakers. The meaningful sponsors for the fund in investment in the same round are Cvent.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Rounds per year
0.13
Investments by industry
  • Software (1)
  • Enterprise Software (1)
  • Information Technology (1)
  • Event Management (1)
  • Collaboration (1)
  • Show 1 more
Investments by region
  • United States (2)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
6
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
ImpactFlow 02 Mar 2017 Internet, Collaboration, Event Management Early Stage Venture 2M United States, Oregon, Portland
How we get our data

At Unicorn Nest, we combine cutting-edge technology with human expertise to build one of the most reliable venture capital databases in the market. Our process begins with automated AI-enhanced data collection, leveraging the full potential of Large Language Models (LLMs).

Later, our team of analysts takes it further with manual verification, using proprietary tools for data cleaning and validation to ensure accuracy and reliability. We cross-check and enhance our findings through press and media monitoring, integrating information from trusted news outlets and venture capital aggregators. Finally, we stay ahead of the curve by monitoring social networks like LinkedIn and X.com.