Social Leverage

Type

Venture Capital

Status

Active

Location

Scottsdale, United States

Total investments

141

Average round size

8M

Portfolio companies

94

Rounds per year

9.40

Lead investments

16

Follow on index

0.33

Exits

31

Stages of investment
SeedEarly Stage Venture
Areas of investment
InternetSoftwareFinancial ServicesFinTechInformation TechnologyMobileFinanceSaaSEnterprise SoftwareBig Data

Summary

Social Leverage is the famous VC, which was founded in 2009. The fund was located in North America if to be more exact in United States. The main office of represented VC is situated in the Phoenix.

The fund was created by Howard Lindzon, Tom Peterson. We also calculated 3 valuable employees in our database.

Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. Among the most successful fund investment fields, there are Internet, Social Media. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. The fund has exact preference in some founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low. Among the most popular portfolio startups of the fund, we may highlight Robinhood, Even Financial, PlaceIQ.

The fund is generally included in 7-12 deals every year. The increased amount of exits for fund were in 2018. The usual things for fund are deals in the range of 1 - 5 millions dollars. This Social Leverage works on 0 percentage points less the average amount of lead investments comparing to the other organizations. The average startup value when the investment from Social Leverage is 50-100 millions dollars. Speaking about the real fund results, this VC is 8 percentage points less often commits exit comparing to other organizations. The high activity for fund was in 2011. Despite it in 2019 the fund had an activity.

The usual cause for the fund is to invest in rounds with 7-8 partakers. Despite the Social Leverage, startups are often financed by ff Venture Capital, Y Combinator, Techstars Boulder Accelerator. The meaningful sponsors for the fund in investment in the same round are Techstars Ventures, Techstars, Hinge Capital. In the next rounds fund is usually obtained by ff Venture Capital, Plug and Play, Lerer Hippeau.

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Investor highlights

Industry focus
FintechB2B/EnterpriseConsumer/Retail
Stage focus
Seed

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Investments analytics

Last fund

Fund size
USD 99000000
Fund raised date
2021-06-15

Analytics

Total investments
141
Lead investments
16
Exits
31
Rounds per year
9.40
Follow on index
0.33
Investments by industry
  • Software (45)
  • FinTech (39)
  • Financial Services (36)
  • SaaS (21)
  • Enterprise Software (20)
  • Show 165 more
Investments by region
  • United States (131)
  • Israel (2)
  • Singapore (2)
  • Canada (4)
  • United Kingdom (1)
Peak activity year
2011
Number of Unicorns
5
Number of Decacorns
5
Number of Minotaurs
1

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Quantitative data

Avg. startup age at the time of investment
9
Avg. valuation at time of investment
214M
Group Appearance index
0.95
Avg. company exit year
5
Avg. multiplicator
2.38
Strategy success index
0.80

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
11thestate 29 May 2024 Seed 2M United States, California, San Francisco
GiveForward 14 Feb 2011 Financial Services, Finance, Crowdfunding Seed 500K United States, Illinois, Chicago

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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.