super{set}

Type

Corporate investor

Status

Active

Location

San Francisco, United States

Total investments

22

Average round size

5M

Portfolio companies

15

Rounds per year

4.40

Lead investments

3

Follow on index

0.32

Stages of investment
Early Stage Venture
Areas of investment
InternetSoftwareInformation TechnologyMachine LearningMarketing AutomationEnterprise SoftwareDigital MarketingSocial MediaVideo GamesDating

Summary

super{set} venture studio appeared to be the VC, which was created in 2018. The company was established in North America in United States. The main department of described VC is located in the San Francisco.

The current fund was established by Tom Chavez, Vivek Vaidya.

We can highlight the next thriving fund investment areas, such as Enterprise Software, Text Analytics. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight Spectrum Labs.

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Investor highlights

Geo focus
Generalist

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Investments analytics

Analytics

Total investments
22
Lead investments
3
Rounds per year
4.40
Follow on index
0.32
Investments by industry
  • Software (14)
  • Enterprise Software (6)
  • Marketing Automation (4)
  • Machine Learning (4)
  • Internet (3)
  • Show 22 more
Investments by region
  • United States (21)
Peak activity year
2020

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Quantitative data

Avg. startup age at the time of investment
3
Group Appearance index
0.32

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Habu 01 Nov 2019 Marketing Automation, Enterprise Software, Digital Marketing Seed United States, California, San Francisco
RevAmp 01 May 2023 Software, Analytics, Marketing, CRM Seed United States, California, San Francisco

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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.