Indicator Fund

Total investments

6

Average round size

4M

Portfolio companies

6

Exits

1

Areas of investment
InternetSoftwareFinancial ServicesInformation TechnologyAerospaceConstructionTelecommunicationsBitcoinCryptocurrencyFinancial Exchanges

Summary

The fund has no specific favorite in a number of founders of portfolio startups. Among the most successful fund investment fields, there are Aerospace, Software. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most popular portfolio startups of the fund, we may highlight Bitnomial, Astranis.

The typical case for the fund is to invest in rounds with 4-5 participants. Despite the Indicator Fund, startups are often financed by Soma Capital, Rising Tide, Matt Bellamy. The meaningful sponsors for the fund in investment in the same round are Y Combinator, ValueStream Ventures, SOSV. In the next rounds fund is usually obtained by SOSV, FOOD-X.

The top activity for fund was in 2018. Deals in the range of 5 - 10 millions dollars are the general things for fund. Comparing to the other companies, this Indicator Fund performs on 4 percentage points more the average number of lead investments. The fund is constantly included in less than 2 investment rounds annually.

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Investments analytics

Analytics

Total investments
6
Lead investments
0
Exits
1
Investments by industry
  • Financial Services (2)
  • Telecommunications (2)
  • Internet (2)
  • Aerospace (2)
  • Information Technology (1)
  • Show 8 more
Investments by region
  • United States (5)
  • United Kingdom (1)
Peak activity year
2020
Number of Unicorns
1
Number of Decacorns
1

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
200M
Group Appearance index
1.00
Avg. company exit year
4

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Seawise Capital 25 Apr 2019 Financial Services, FinTech Seed 1M England, London, United Kingdom
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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.