Gary Community Investments
6
11M
6
- Areas of investment
Summary
The typical case for the fund is to invest in rounds with 6 participants. Despite the Gary Community Investments, startups are often financed by FundersClub, First Round Capital, Edelweiss.vc. The meaningful sponsors for the fund in investment in the same round are Omidyar Network, First Round Capital, Correlation Ventures.
Among the various public portfolio startups of the fund, we may underline Wonderschool Among the most successful fund investment fields, there are Primary Education, Parenting. Besides, a startup needs to be aged 6-10 years to get the investment from the fund.
The overall number of key employees were 8.
The top activity for fund was in 2018. The fund is constantly included in less than 2 deals per year. The common things for fund are deals in the range of 10 - 50 millions dollars.
Investments analytics
Analytics
- Total investments
- 6
- Lead investments
- 0
- Investments by industry
- Education (4)
- EdTech (3)
- Parenting (2)
- Communities (2)
- Sharing Economy (1) Show 10 more
- Investments by region
-
- United States (4)
- Germany (1)
- Canada (1)
- Peak activity year
- 2021
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
- 20
- Avg. valuation at time of investment
- 23M
- Group Appearance index
- 0.83
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 |
|---|---|---|---|---|---|
| MagicSchool AI | 28 Aug 2023 | E-Learning, Artificial Intelligence, EdTech, Education | Seed | 2M | United States, Colorado, Denver |
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.