Hunch Ventures

Total investments

11

Average round size

2M

Portfolio companies

9

Lead investments

7

Follow on index

0.18

Areas of investment
E-CommerceSoftwareInformation TechnologyFood and BeverageHealth CareRestaurantsManufacturingConsumer ElectronicsElectronicsEnergy

Summary

The usual cause for the fund is to invest in rounds with 1-2 partakers. The meaningful sponsors for the fund in investment in the same round are Spiral Ventures Pte Ltd., Singapore Angel Network, 500 Startups. In the next rounds fund is usually obtained by Sixth Sense Ventures, Singapore Angel Network, Peeyush Ranjan.

The real fund results show that this VC is 80 percentage points more often commits exit comparing to other companies. Deals in the range of 1 - 5 millions dollars are the general things for fund. The top activity for fund was in 2018. The fund is constantly included in less than 2 deals per year.

Among the most popular portfolio startups of the fund, we may highlight VClusive. We can highlight the next thriving fund investment areas, such as Social Network, Internet. Besides, a startup requires to be at the age of 6-10 years to receive the investment from the fund.

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Investments analytics

Analytics

Total investments
11
Lead investments
7
Follow on index
0.18
Investments by industry
  • Food and Beverage (4)
  • E-Commerce (2)
  • Information Technology (2)
  • Health Care (2)
  • Software (2)
  • Show 16 more
Investments by region
  • India (10)
  • United States (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
11
Group Appearance index
0.18

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
SpotDraft 25 Oct 2017 Internet, Software, SaaS, Computer, Legal, Legal Tech Seed 550K Karnataka, Bengaluru, India
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.