Hear Music

Total investments

1

Average round size

6M

Portfolio companies

1

Areas of investment
SocialMobileMessagingSaaSDeveloper ToolsMusicPhoto SharingContent Delivery Network

Summary

The leading representative office of defined Corporate Investor is situated in the Beverly Hills. The venture was found in North America in United States.

Deals in the range of 5 - 10 millions dollars are the general things for fund. The fund is generally included in less than 2 deals every year. The high activity for fund was in 2018.

The usual cause for the fund is to invest in rounds with 7 partakers. Despite the Hear Music, startups are often financed by Northwood Ventures. The meaningful sponsors for the fund in investment in the same round are Sovereign Brands, Soundscan, Neoteny 4.

Among the most popular fund investment industries, there are Photo Sharing, Music. 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 Gifnote by Audiobyte. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

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Investments analytics

Analytics

Total investments
1
Lead investments
0
Investments by industry
  • Messaging (1)
  • Photo Sharing (1)
  • Content Delivery Network (1)
  • Social (1)
  • Developer Tools (1)
  • Show 3 more
Investments by region
  • United States (1)
Peak activity year
2018

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Quantitative data

Avg. startup age at the time of investment
6
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Songclip (Audiobyte) 10 Dec 2018 Social, Mobile, Messaging, SaaS, Developer Tools, Music, Photo Sharing, Content Delivery Network Early Stage Venture 6M United States, California, San Francisco
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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.