G-Bar Ventures

Total investments

3

Average round size

10M

Portfolio companies

2

Follow on index

0.33

Exits

1

Areas of investment
SoftwareInformation TechnologyConstructionHardware

Summary

The typical case for the fund is to invest in rounds with 5-6 participants. Despite the G-Bar Ventures, startups are often financed by Crosslink Capital, Sherpa Capital, Chicago Ventures. The meaningful sponsors for the fund in investment in the same round are Pivot Investment Partners, Chicago Ventures, Azure Capital Partners. In the next rounds fund is usually obtained by Daniel Curran, Azure Capital Partners, Sway Ventures.

Among the most successful fund investment fields, there are Cyber Security, E-Commerce. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight RedSeal, Descartes Labs, Sunbit. The fund has no specific favorite in a number of founders of portfolio startups. When startup sums 2 or 3 of the founder, the probability for it to get the investment is little.

The fund is constantly included in 2-6 deals per year. The average startup value when the investment from G-Bar Ventures is 100-500 millions dollars. The high activity for fund was in 2017. This G-Bar Ventures works on 21 percentage points less the average amount of lead investments comparing to the other organizations. The usual things for fund are deals in the range of 10 - 50 millions dollars. The increased amount of exits for fund were in 2019.

Besides them, we counted 1 critical employee of this fund in our database.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Exits
1
Follow on index
0.33
Investments by industry
  • Software (2)
  • Information Technology (2)
  • Hardware (2)
  • Construction (1)
Investments by region
  • United States (3)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
31
Group Appearance index
1.00

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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.