Matrixport

Type

Other

Status

Active

Total investments

20

Average round size

4M

Portfolio companies

20

Rounds per year

4.00

Areas of investment
PublishingSoftwareFinancial ServicesFinTechFinanceNewsBitcoinCryptocurrencyBlockchainFinancial Exchanges

Summary

Matrixport is the famous Corporate Investor, which was founded in 2019.

The top activity for fund was in 2019. The fund is generally included in less than 2 deals every year.

The typical case for the fund is to invest in rounds with 3 participants. Despite the Matrixport, startups are often financed by Xinruan Software, OK Blockchain Capital, Jiaxing Jince Yunji Investment Partnership. The meaningful sponsors for the fund in investment in the same round are Ceyuan Ventures, Binance.

Among the various public portfolio startups of the fund, we may underline Mars Finance Besides, a startup needs to be aged 1 and less years to get the investment from the fund. Among the most popular fund investment industries, there are Finance, Publishing.

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Investor highlights

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Investments analytics

Analytics

Total investments
20
Lead investments
0
Rounds per year
4.00
Investments by industry
  • Cryptocurrency (8)
  • Blockchain (8)
  • Finance (4)
  • Bitcoin (2)
  • FinTech (2)
  • Show 24 more
Investments by region
  • China (2)
  • United States (3)
  • Singapore (2)
  • Philippines (1)
  • Ireland (1)
Peak activity year
2022

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Quantitative data

Avg. startup age at the time of investment
2
Avg. valuation at time of investment
8M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
1Token 01 Jun 2022 Internet, Software, Financial Services, FinTech, Cryptocurrency Early Stage Venture 12M Shanghai, China
Avalon Finance 15 Mar 2024 Seed 1M
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.