BC Select Fund

Total investments

2

Average round size

5M

Portfolio companies

1

Lead investments

1

Follow on index

0.50

Exits

1

Stages of investment
Early Stage Venture
Areas of investment
E-CommerceInternetSoftwareEnterprise Software

Summary

The typical case for the fund is to invest in rounds with 3 participants. Despite the BC Select Fund, startups are often financed by Trans Pacific Partners. The meaningful sponsors for the fund in investment in the same round are Trans Pacific Partners, Trident Capital, HWVP, Hummer Winblad Venture Partners. In the next rounds fund is usually obtained by Trident Capital, HWVP, Hummer Winblad Venture Partners, Trans Pacific Partners.

The top activity for fund was in 2004. The fund is constantly included in less than 2 deals per year. The top amount of exits for fund were in 2010. The common things for fund are deals in the range of 5 - 10 millions dollars.

Among the most popular portfolio startups of the fund, we may highlight Infopia. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Internet, E-Commerce.

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Investments analytics

Analytics

Total investments
2
Lead investments
1
Exits
1
Follow on index
0.50
Investments by industry
  • Internet (2)
  • Software (2)
  • E-Commerce (2)
  • Enterprise Software (2)
Investments by region
  • United States (2)
Peak activity year
2006

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Quantitative data

Avg. startup age at the time of investment
22
Group Appearance index
1.00
Avg. company exit year
11

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Infopia 23 Jun 2004 E-Commerce, Internet, Software, Enterprise Software Early Stage Venture 3M Salt Lake City, Utah, United States
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.