Hupu

Total investments

7

Average round size

8M

Portfolio companies

5

Rounds per year

0.39

Follow on index

0.29

Areas of investment
CosmeticsGamingFood and BeverageFitnessAppsDeliveryPersonal HealthEventsSportsEvent Promotion

Summary

Hupu is the famous Corporate Investor, which was founded in 2004. The main office of represented Corporate Investor is situated in the Shanghai. The company was established in Asia in China.

The usual things for fund are deals in the range of 5 - 10 millions dollars. The important activity for fund was in 2018. The fund is constantly included in less than 2 investment rounds annually.

Among the most popular fund investment industries, there are Event Promotion, Fitness.

The usual cause for the fund is to invest in rounds with 1-2 partakers. Despite the Hupu, startups are often financed by ZhenFund, Yule Gongchang, IDG Capital. The meaningful sponsors for the fund in investment in the same round are IDG Capital. In the next rounds fund is usually obtained by Northern Light Venture Capital, Qianhai Wutong Mergers and Acquisitions Funds, Morningside Venture Capital.

The current fund was established by Shawn Cheng.

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Investments analytics

Analytics

Total investments
7
Lead investments
0
Rounds per year
0.39
Follow on index
0.29
Investments by industry
  • Sports (2)
  • Cosmetics (2)
  • Personal Health (2)
  • Gaming (1)
  • Event Promotion (1)
  • Show 6 more
Investments by region
  • China (7)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
4
Avg. valuation at time of investment
100M
Group Appearance index
0.43

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Liran cosmetics 21 Jan 2021 Cosmetics, Personal Health Early Stage Venture 23M Guangdong Province, Futian District, China
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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.