Growth Street Partners

Type

Venture Capital

Status

Active

Location

San Francisco, United States

Total investments

9

Average round size

2M

Portfolio companies

8

Rounds per year

1.50

Lead investments

6

Follow on index

0.11

Exits

1

Areas of investment
AccountingSoftwareAnalyticsSaaSDocument ManagementEducationComputerLegalPresentationsChild Care

Summary

Deals in the range of 1 - 5 millions dollars are the general things for fund. The fund is constantly included in less than 2 deals per year. The top activity for fund was in 2017.

We can highlight the next thriving fund investment areas, such as Education, Software. Besides, a startup needs to be aged 4-5 years to get the investment from the fund. Among the various public portfolio startups of the fund, we may underline Pear Deck, Suralink The fund has no exact preference in some founders of portfolio startups.

This organization was formed by Nathan Grossman, Stephen Wolfe.

The typical case for the fund is to invest in rounds with 1-2 participants. Despite the Growth Street Partners, startups are often financed by VilCap Investments, Steve Case, Hyde Park Venture Partners. The meaningful sponsors for the fund in investment in the same round are Village Capital, Hyde Park Venture Partners.

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Investor highlights

Industry focus
B2B/Enterprise
Stage focus
Series ASeries B
Geo focus
CanadaUnited States
Check size
3M — 12M

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Investments analytics

Last fund

Fund size
USD 130000000

Analytics

Total investments
9
Lead investments
6
Exits
1
Rounds per year
1.50
Follow on index
0.11
Investments by industry
  • Software (7)
  • SaaS (3)
  • Education (2)
  • Computer (2)
  • Child Care (2)
  • Show 15 more
Investments by region
  • United States (9)
Peak activity year
2017

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Quantitative data

Avg. startup age at the time of investment
9
Group Appearance index
0.33
Avg. company exit year
6

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
PublicInput 22 Oct 2021 Government, Software, SaaS, GovTech Early Stage Venture 6M United States, North Carolina, Raleigh
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.