Harbor Spring Capital

Total investments

8

Average round size

97M

Portfolio companies

6

Follow on index

0.25

Areas of investment
AutomotiveE-CommerceSoftwareRetailInformation TechnologyMobileInformation ServicesAppsShoppingCoupons

Summary

The current fund was established by Amit Doshi. Besides them, we counted 1 critical employee of this fund in our database.

Among the most popular portfolio startups of the fund, we may highlight Ibotta. Moreover, a startup needs to be at the age of 6-10 years to get the investment from the fund. Among the most successful fund investment fields, there are Retail, Shopping.

The fund is constantly included in less than 2 investment rounds annually. The important activity for fund was in 2017. The usual things for fund are deals in the range of 10 - 50 millions dollars.

The usual cause for the fund is to invest in rounds with 5-6 partakers. Despite the Harbor Spring Capital, startups are often financed by Tom Jermoluk, James Clark, Great Oaks Venture Capital. The meaningful sponsors for the fund in investment in the same round are Tom Jermoluk, Teamworthy Ventures, GGV Capital. In the next rounds fund is usually obtained by Tom Jermoluk, Teamworthy Ventures, Koch Disruptive Technologies.

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Investments analytics

Analytics

Total investments
8
Lead investments
0
Follow on index
0.25
Investments by industry
  • Retail (4)
  • Mobile (3)
  • Information Services (3)
  • Information Technology (3)
  • E-Commerce (3)
  • Show 16 more
Investments by region
  • India (2)
  • United States (6)
Peak activity year
2021
Number of Unicorns
3
Number of Decacorns
3
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
10
Avg. valuation at time of investment
583M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Leap 25 Jan 2022 Retail, Retail Technology, Brand Marketing Early Stage Venture 50M United States, New York, New York
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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.