base case capital

San Francisco, United States
Venture Capital
Active
Total investments

25

Average round size

10M

Portfolio companies

22

Rounds per year

6.25

Follow on index

0.12

Exits

1

Stages of investment
SeedEarly Stage Venture
Areas of investment
E-CommerceSoftwareAnalyticsInformation TechnologyInformation ServicesSaaSMarketplaceDeveloper ToolsDatabaseManagement Information Systems

Investor highlights

Industry focus
B2B/Enterprise
Stage focus
Seed
Geo focus
Generalist
Check size
Up to 10M

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Investments analytics

Last fund

Fund size
USD 17700000
Fund raised date
2021-10-22

Analytics

Total investments
25
Lead investments
0
Exits
1
Rounds per year
6.25
Follow on index
0.12
Investments by industry
  • Software (14)
  • SaaS (6)
  • Information Technology (5)
  • E-Commerce (4)
  • Developer Tools (4)
  • Show 32 more
Investments by region
  • United States (21)
  • Singapore (2)
Peak activity year
2021

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Quantitative data

Avg. startup age at the time of investment
2
Avg. valuation at time of investment
35M
Group Appearance index
0.96

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Latest deals

Company nameDeal dateIndustryDeal stageDeal sizeLocation
Browserbase06 Jun 2024Seed6MUnited States, California, San Francisco
June22 Mar 2021Seed
Company nameDeal dateIndustryDeal stageDeal sizeLocation
BiolinqApr 23, 2025Biosensing Platform, Healthcare Technology, Metabolic Health, Wearable Sensors-100000000 USD San Diego, California
HistoSonicsAug 15, 2024Histotripsy, Medical Device, Non-Invasive Platforms, Sonic Beam TherapyGrowth stage102000000 USD Minneapolis, Minnesota
Moonwalk BiosciencesMay 1, 2024AI-driven Profiling Technologies, Epigenetic Editors, Epigenetic Profiling and Engineering, Genomic Medicine, TherapeuticsEarly stage57000000 USD San Francisco, California
BiolinqApr 4, 2024Biosensing Platform, Healthcare Technology, Metabolic Health, Wearable Sensors-58000000 USD San Diego, California
ImmunONEOct 25, 20233D human lung model, Biotech, Drug Safety Testing-2000000 GBP Hatfield,

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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.