ff Venture Capital

Type

Venture Capital

Status

Active

Location

New York, United States

Total investments

392

Average round size

3M

Portfolio companies

149

Rounds per year

24.50

Lead investments

32

Follow on index

0.61

Exits

26

Stages of investment
SeedEarly Stage VentureLate Stage Venture
Areas of investment
InternetSoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceSaaSEnterprise SoftwareBig DataAdvertising

Summary

In 2008 was created ff Venture Capital, which is appeared as VC. The leading representative office of defined VC is situated in the New York. The fund was located in North America if to be more exact in United States.

The fund has no exact preference in a number of founders of portfolio startups. If startup sums 5+ of the founder, the chance for it to be financed is low. Among the most successful fund investment fields, there are Mobile, E-Commerce. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Among the most popular portfolio startups of the fund, we may highlight Addepar, Ionic Security, Rescale. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund.

This organization was formed by John Frankel. The overall number of key employees were 11.

The top amount of exits for fund were in 2019. Opposing the other organizations, this ff Venture Capital works on 22 percentage points less the average amount of lead investments. The typical startup value when the investment from ff Venture Capital is 10-50 millions dollars. The fund is constantly included in 13-24 deals per year. The top activity for fund was in 2013. Speaking about the real fund results, this VC is 9 percentage points less often commits exit comparing to other organizations. Deals in the range of 5 - 10 millions dollars are the general things for fund.

The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the ff Venture Capital, startups are often financed by RRE Ventures, Founder Collective, Correlation Ventures. The meaningful sponsors for the fund in investment in the same round are KEC Ventures, Zelkova Ventures, Techstars Ventures. In the next rounds fund is usually obtained by Lerer Hippeau, Kleiner Perkins, Contour Venture Partners.

Show more

Investor highlights

Industry focus
AI/Big DataB2B/EnterpriseFintechClimate techManufacturing
Stage focus
Seed
Geo focus
Generalist
Check size
300K — 700K

Discover reliable insights

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

Investments analytics

Last fund

Fund size
USD 60000000
Fund raised date
2023-06-02

Analytics

Total investments
392
Lead investments
32
Exits
26
Rounds per year
24.50
Follow on index
0.61
Investments by industry
  • Software (133)
  • Enterprise Software (64)
  • Internet (62)
  • Mobile (61)
  • Information Technology (59)
  • Show 218 more
Investments by region
  • United States (333)
  • Canada (14)
  • Israel (14)
  • Estonia (4)
  • United Kingdom (7)
  • Show 6 more
Peak activity year
2013
Number of Unicorns
2
Number of Decacorns
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
9
Avg. valuation at time of investment
48M
Group Appearance index
0.70
Avg. company exit year
7
Avg. multiplicator
0.98
Strategy success index
0.30

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
NeoKe 10 Jul 2023 Information Technology, Cloud Data Services, Blockchain Seed 1M Noord-Holland, Amsterdam, The Netherlands
Tilta 04 Jun 2024 Financial Services Seed Berlin, Berlin, Germany

Similar funds

By same location

By same geo focus

By doing lead investments

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.