Skystar Ventures

Total investments

3

Average round size

3M

Portfolio companies

3

Rounds per year

0.33

Areas of investment
LogisticsFinancial ServicesInformation TechnologyInformation ServicesFinanceMessagingSportsSocial MediaDigital MediaFleet Management

Summary

In 2013 was created Skystar Ventures, which is appeared as VC. The fund was located in Asia if to be more exact in Indonesia. The main office of represented VC is situated in the Tangerang.

Besides, a startup needs to be aged 1 and less years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline GameOn For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular fund investment industries, there are Digital Media, Sports.

The standard case for the fund is to invest in rounds with 7 partakers. The meaningful sponsors for the fund in investment in the same round are XG Ventures, Wei Hopeman, Quest Venture Partners. In the next rounds fund is usually obtained by Snoop Dogg, Quest Venture Partners, XG Ventures.

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

The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is generally included in less than 2 deals every year. The high activity for fund was in 2015.

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Investments analytics

Analytics

Total investments
3
Lead investments
0
Rounds per year
0.33
Investments by industry
  • Social Media (1)
  • Messaging (1)
  • Digital Media (1)
  • Sports (1)
  • Information Services (1)
  • Show 8 more
Investments by region
  • Indonesia (2)
  • United States (1)
Peak activity year
2015

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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
Klinik Pintar 17 Nov 2021 Fitness, Health Care, Wellness Early Stage Venture 4M Jakarta Raya, Kebayoran Baru, Indonesia
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.