Venture Hacks

Total investments

2

Average round size

2M

Portfolio companies

2

Rounds per year

0.13

Exits

1

Areas of investment
Real EstateConsumerRestaurantsMarketplaceConstructionPersonalizationLocalAdvertisingSearch EngineDeveloper APIs

Summary

Venture Hacks appeared to be the VC, which was created in 2007. The venture was found in North America in United States. The main office of represented VC is situated in the San Francisco.

Among the various public portfolio startups of the fund, we may underline Locu We can highlight the next thriving fund investment areas, such as Content, Advertising. For fund there is a match between the country of its foundation and the country of its the most frequent investments - United States. Besides, a startup requires to be at the age of 1 and less years to receive the investment from the fund.

The common things for fund are deals in the range of 1 - 5 millions dollars. The top amount of exits for fund were in 2013. The fund is constantly included in less than 2 investment rounds annually. The top activity for fund was in 2012.

The current fund was established by Babak Nivi, Kartik Agaram, Naval Ravikant. We also calculated 2 valuable employees in our database.

The standard case for the fund is to invest in rounds with 8 partakers. Despite the Venture Hacks, startups are often financed by Techammer, Quotidian Ventures, Michael Abbott. The meaningful sponsors for the fund in investment in the same round are SV Angel, Quotidian Ventures, Naval Ravikant.

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Investments analytics

Analytics

Total investments
2
Lead investments
0
Exits
1
Rounds per year
0.13
Investments by industry
  • Construction (1)
  • Marketplace (1)
  • Consumer (1)
  • Real Estate (1)
  • Personalization (1)
  • Show 7 more
Investments by region
  • United States (2)
Peak activity year
2012

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Quantitative data

Avg. startup age at the time of investment
7
Avg. valuation at time of investment
45M
Avg. company exit year
2
Avg. multiplicator
15.22

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Latest deals

Company name Deal date Industry Deal stage Deal size Location
Locu 23 Apr 2012 Restaurants, Content, Personalization, Social Media, Local, Advertising, Search Engine, Developer APIs Early Stage Venture 4M United States, Massachusetts, Cambridge
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.