Macanta Investments

Total investments

4

Average round size

22M

Portfolio companies

1

Follow on index

0.75

Areas of investment
Social Media AdvertisingCloud Data ServicesVideoAdvertising Platforms

Summary

The typical case for the fund is to invest in rounds with 5 participants. Despite the Macanta Investments, startups are often financed by Interlock Partners, Acadia Woods Partners, Manifest Investment Partners. The meaningful sponsors for the fund in investment in the same round are Interlock Partners, Acadia Woods Partners, You & Mr Jones Brandtech Ventures. In the next rounds fund is usually obtained by You & Mr Jones Brandtech Ventures, Interlock Partners, Acadia Woods Partners.

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

Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline VidMob Among the most successful fund investment fields, there are Analytics, Marketplace.

The usual things for fund are deals in the range of 10 - 50 millions dollars. The top activity for fund was in 2019. The fund is constantly included in less than 2 deals per year.

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Investments analytics

Analytics

Total investments
4
Lead investments
0
Follow on index
0.75
Investments by industry
  • Advertising Platforms (4)
  • Cloud Data Services (4)
  • Video (4)
  • Social Media Advertising (4)
Investments by region
  • United States (4)
Peak activity year
2019

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Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
390M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
VidMob 23 Feb 2021 Social Media Advertising, Cloud Data Services, Video, Advertising Platforms Late Stage Venture 50M United States, New York, New York
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.