Hard Yaka

Type

Venture Capital

Status

Active

Location

Crystal Bay, United States

Total investments

105

Average round size

5M

Portfolio companies

95

Rounds per year

7.50

Lead investments

3

Follow on index

0.09

Exits

18

Areas of investment
SoftwareFinancial ServicesFinTechInformation TechnologyMobilePaymentsFinanceBitcoinCryptocurrencyBlockchain

Summary

Hard Yaka is the famous VC, which was founded in 2010. The fund was located in North America if to be more exact in United States. The main department of described VC is located in the Sausalito.

The current fund was established by Greg Kidd. We also calculated 5 valuable employees in our database.

The standard case for the fund is to invest in rounds with 3-4 partakers. Despite the Hard Yaka, startups are often financed by 500 Startups, Plug and Play, FundersClub. The meaningful sponsors for the fund in investment in the same round are AltaIR Capital, Y Combinator, FundersClub. In the next rounds fund is usually obtained by FundersClub, Union Square Ventures, 500 Startups.

Among the most successful fund investment fields, there are Financial Services, Payments. 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 no exact preference in a number of founders of portfolio startups. In case when startup counts 5+ of the founder, the chance for it to get the investment is meager. Among the most popular portfolio startups of the fund, we may highlight Coinbase, Marqeta, Kabbage. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.

The increased amount of exits for fund were in 2016. The fund is generally included in 7-12 deals every year. Deals in the range of 5 - 10 millions dollars are the general things for fund. The important activity for fund was in 2015. Despite it in 2019 the fund had an activity. Comparing to the other companies, this Hard Yaka performs on 12 percentage points less the average number of lead investments. Considering the real fund results, this VC is 17 percentage points less often commits exit comparing to other organizations.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataB2B/EnterpriseCloud/InfrastructureConsumer/Retail Show 6 more
Stage focus
Seed

Discover reliable insights

Find relevant VC investors, identify key contacts and secure funding opportunities.

Investments analytics

Analytics

Total investments
105
Lead investments
3
Exits
18
Rounds per year
7.50
Follow on index
0.09
Investments by industry
  • FinTech (44)
  • Financial Services (29)
  • Payments (22)
  • Blockchain (21)
  • Finance (16)
  • Show 125 more
Investments by region
  • United States (76)
  • United Kingdom (8)
  • Germany (1)
  • China (3)
  • Estonia (1)
  • Show 6 more
Peak activity year
2015
Number of Unicorns
7
Number of Decacorns
7
Number of Minotaurs
2

Discover reliable insights

Leverage validated data, identify key contacts and secure funding opportunities for your business.

Quantitative data

Avg. startup age at the time of investment
8
Avg. valuation at time of investment
281M
Group Appearance index
0.62
Avg. company exit year
6
Avg. multiplicator
0.05
Strategy success index
0.80

Need more data?

Get access to full data about investors, including their team, contact information, and historic data.

Latest deals

Company name Deal date Industry Deal stage Deal size Location
Coinme 07 May 2020 Financial Services, FinTech, Finance, Bitcoin, Cryptocurrency, Blockchain, Virtual Currency Early Stage Venture 5M United States, Washington, Seattle
DoinGud 30 Sep 2021 Online Portals, Communities, Marketplace, Blockchain, Professional Networking, Social Impact Seed 5M Switzerland, Zug, Zug
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.