Macluan Digital Partners

Total investments

2

Average round size

18M

Portfolio companies

2

Exits

1

Areas of investment
SoftwareInformation TechnologySaaSEnterprise SoftwareSmall and Medium BusinessesNewsTelecommunicationsVoIPDatingLGBT

Summary

The fund was located in North America if to be more exact in Canada. The main department of described VC is located in the Vancouver.

The typical case for the fund is to invest in rounds with 4-5 participants. The meaningful sponsors for the fund in investment in the same round are TIS, OnLine Partners, IDG Ventures.

The high activity for fund was in 2000. The increased amount of exits for fund were in 2000. The fund is constantly included in less than 2 investment rounds annually. Deals in the range of 10 - 50 millions dollars are the general things for fund.

Moreover, a startup needs to be at the age of 4-5 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as Dating, Software. For fund there is no match between the location of its establishment and the land of its numerous investments - United States. Among the various public portfolio startups of the fund, we may underline gay.com, PeerLogic

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Investments by industry
  • Dating (1)
  • News (1)
  • LGBT (1)
  • Information Technology (1)
  • Software (1)
  • Show 6 more
Investments by region
  • United States (2)
Peak activity year
2000

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Quantitative data

Avg. startup age at the time of investment
25
Avg. valuation at time of investment
208M
Group Appearance index
1.00
Avg. company exit year
2
Avg. multiplicator
30.81

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
gay.com 09 Mar 2000 News, Dating, LGBT Early Stage Venture 23M United States, California, Los Angeles
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.