Hallador Investment Advisors

Total investments

4

Average round size

18M

Portfolio companies

3

Follow on index

0.25

Areas of investment
TransportationSaaSAppsSmall and Medium BusinessesInsuranceInsurTechSemiconductorService IndustryMobile DevicesOil and Gas

Summary

Besides them, we counted 2 critical employees of this fund in our database.

The fund is constantly included in less than 2 investment rounds annually. The top activity for fund was in 2018. The common things for fund are deals in the range of 10 - 50 millions dollars.

Among the most popular portfolio startups of the fund, we may highlight FILLD. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. Among the most successful fund investment fields, there are Apps, Transportation.

The usual cause for the fund is to invest in rounds with 6 partakers. Despite the Hallador Investment Advisors, startups are often financed by Lightspeed Venture Partners, Javelin Venture Partners, Shea Ventures. The meaningful sponsors for the fund in investment in the same round are Parkland Fuel Corporation, Lucas Venture Group, Javelin Venture Partners.

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Investments analytics

Analytics

Total investments
4
Lead investments
0
Follow on index
0.25
Investments by industry
  • SaaS (2)
  • Insurance (2)
  • Small and Medium Businesses (2)
  • InsurTech (2)
  • Apps (1)
  • Show 6 more
Investments by region
  • United States (4)
Peak activity year
2018

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Quantitative data

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

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Empower Semiconductor 26 Oct 2021 Manufacturing, Semiconductor, Mobile Devices Late Stage Venture 45M United States, California, Milpitas
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.