Blocktree Capital
3
3M
2
0.33
- Areas of investment
Summary
The usual cause for the fund is to invest in rounds with 8 partakers. Despite the Blocktree Capital, startups are often financed by Parafi Capital, Stoic Capital, Social Starts. The meaningful sponsors for the fund in investment in the same round are Pantera Capital, Winklevoss capital, Visary Capital.
The typical startup value when the investment from Blocktree Capital is 10-50 millions dollars. The usual things for fund are deals in the range of 1 - 5 millions dollars. The fund is constantly included in 2-6 deals per year. The top activity for fund was in 2019.
The overall number of key employees were 4.
Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund. Among the most popular fund investment industries, there are Cryptocurrency, Blockchain. Among the most popular portfolio startups of the fund, we may highlight Staked us, The Block.
Investments analytics
Analytics
- Total investments
- 3
- Lead investments
- 0
- Follow on index
- 0.33
- Investments by industry
- Internet (2)
- Digital Media (1)
- Bitcoin (1)
- Cryptocurrency (1)
- News (1) Show 3 more
- Investments by region
-
- United States (3)
- Peak activity year
- 2019
Discover reliable insights
Leverage validated data, identify key contacts and secure funding opportunities for your business.Quantitative data
- Avg. startup age at the time of investment
- 4
- Avg. valuation at time of investment
- 5M
- Group Appearance index
- 1.00
Need more data?
Get access to full data about investors, including their team, contact information, and historic data.
Latest deals
Company name | Deal date | Industry | Deal stage | Deal size | Location |
---|---|---|---|---|---|
Staked us | 31 Jan 2019 | Internet | Seed | 4M | United States, New York, New York |
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.