Stellar Kapital

Total investments

5

Average round size

5M

Portfolio companies

4

Follow on index

0.20

Stages of investment
Early Stage Venture
Areas of investment
Real EstateInformation TechnologyInformation ServicesArtificial IntelligenceAppsMarketplaceProperty ManagementHospitalityTravel AccommodationsRental Property

Summary

The common things for fund are deals in the range of 5 - 10 millions dollars. The typical startup value when the investment from Stellar Kapital is 1-5 millions dollars. The important activity for fund was in 2019. The fund is generally included in 2-6 deals every year.

Among the most popular portfolio startups of the fund, we may highlight Pomona. Among the most popular fund investment industries, there are Hospitality, Retail. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

The usual cause for the fund is to invest in rounds with 4-5 partakers. Despite the Stellar Kapital, startups are often financed by Pegasus Tech Ventures, Vynn Capital, Insignia Ventures Partners. The meaningful sponsors for the fund in investment in the same round are Vynn Capital, Insignia Ventures Partners, Indogen Capital. In the next rounds fund is usually obtained by Vynn Capital, Pavilion Capital, Insignia Ventures Partners.

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Investments analytics

Analytics

Total investments
5
Lead investments
0
Follow on index
0.20
Investments by industry
  • Travel Accommodations (2)
  • Property Management (2)
  • Hospitality (2)
  • Real Estate (2)
  • Marketplace (2)
  • Show 7 more
Investments by region
  • Indonesia (4)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
6
Avg. valuation at time of investment
1M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Pomona 24 Jul 2019 E-Commerce, Retail Early Stage Venture 3M Jakarta Raya, Jakarta, 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.