Oyster Ventures

Type

Venture Capital

Status

Active

Location

San Francisco, United States

Total investments

64

Average round size

65M

Portfolio companies

49

Rounds per year

8.00

Lead investments

1

Follow on index

0.23

Exits

2

Stages of investment
SeedEarly Stage Venture
Areas of investment
E-CommerceInternetSoftwareFinancial ServicesFinTechInformation TechnologyFinanceCloud ComputingCryptocurrencyBlockchain

Summary

Oyster Ventures is the famous VC, which was founded in 2016. The venture was found in North America in United States. The leading representative office of defined VC is situated in the San Francisco.

The fund is constantly included in 7-12 investment rounds annually. The important activity for fund was in 2018. Considering the real fund results, this VC is 18 percentage points less often commits exit comparing to other organizations. Comparing to the other companies, this Oyster Ventures performs on 26 percentage points less the average number of lead investments. 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 Blockstack, Hedera Hashgraph, Basis. For fund there is a match between the location of its establishment and the land of its numerous investments - United States. The fund has 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 successful fund investment fields, there are Financial Services, Cryptocurrency. Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund.

This organization was formed by Sophie Liao. The overall number of key employees were 2.

The standard case for the fund is to invest in rounds with 5-6 partakers. Despite the Oyster Ventures, startups are often financed by Eric Di Benedetto, StartX (Stanford-StartX Fund), Digital Currency Group. The meaningful sponsors for the fund in investment in the same round are SV Angel, Zillionize Angel, Visary Capital. In the next rounds fund is usually obtained by Y Combinator, Zillionize Angel, The Fund.

Show more

Investor highlights

Industry focus
Blockchain/Crypto/Web3
Stage focus
Pre-SeedSeedSeries ASeries BSeries C Show 1 more
Geo focus
BahrainCambodiaChinaEgyptGeneralist Show 19 more
Check size
250K — 5M

Preferences and restrictions

Doesn’t invest in
China

Discover reliable insights

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

Investments analytics

Analytics

Total investments
64
Lead investments
1
Exits
2
Rounds per year
8.00
Follow on index
0.23
Investments by industry
  • Software (19)
  • Blockchain (16)
  • Financial Services (16)
  • FinTech (15)
  • Internet (13)
  • Show 94 more
Investments by region
  • United Arab Emirates (2)
  • United States (51)
  • Philippines (1)
  • Canada (1)
  • Spain (1)
  • Show 7 more
Peak activity year
2018
Number of Minotaurs
1

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
6
Avg. valuation at time of investment
14M
Group Appearance index
0.91
Avg. company exit year
4
Strategy success index
0.40

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
Allure Systems 13 Mar 2019 E-Commerce, Retail Technology, Artificial Intelligence, Machine Learning, 3D Technology, Augmented Reality, Fashion, Image Recognition Seed 150K United States, New York, New York
Mucosis 10 Sep 2007 Biotechnology, Health Care, Medical Early Stage Venture 3M Netherlands, Groningen
Ridepanda 09 Nov 2023 Retail Seed 7M United States, California, San Francisco

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.