Weatherby Ventures

Total investments

2

Average round size

40M

Portfolio companies

2

Stages of investment
SeedEarly Stage Venture
Areas of investment
AnalyticsMessagingSmall and Medium BusinessesBusiness IntelligenceMarketingAdvertising

Summary

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

Among the various public portfolio startups of the fund, we may underline CallRail Among the most popular fund investment industries, there are Business Intelligence, Small and Medium Businesses.

The fund is generally included in less than 2 deals every year. The average startup value when the investment from Weatherby Ventures is 50-100 millions dollars. The important activity for fund was in 2017. Deals in the range of 50 - 100 millions dollars are the general things for fund.

The usual cause for the fund is to invest in rounds with 3 partakers. Despite the Weatherby Ventures, startups are often financed by Wain Kellum, Tycho Howle, Reggie Bradford. The meaningful sponsors for the fund in investment in the same round are Sageview Capital, Leaders Fund. In the next rounds fund is usually obtained by Square 1 Bank.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Investments by industry
  • Advertising (2)
  • Small and Medium Businesses (1)
  • Analytics (1)
  • Business Intelligence (1)
  • Marketing (1)
  • Show 1 more
Investments by region
  • United States (2)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
42M
Group Appearance index
1.00

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Voxie 07 Jan 2021 Messaging, Marketing, Advertising Early Stage Venture 6M United States, Atlanta, Georgia
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.