LAUNCHub Ventures

Type

Venture Capital

Status

Active

Location

Sofia, Bulgaria

Total investments

174

Average round size

2M

Portfolio companies

97

Rounds per year

14.50

Lead investments

8

Follow on index

0.44

Exits

6

Stages of investment
Seed
Areas of investment
E-CommerceInternetSoftwareAnalyticsInformation TechnologyMobileArtificial IntelligenceSaaSAppsEnterprise Software

Summary

LAUNCHub Ventures appeared to be the VC, which was created in 2012. The company was established in Europe in Bulgaria. The main office of represented VC is situated in the Sofia.

The usual cause for the fund is to invest in rounds with 1-2 partakers. Despite the LAUNCHub Ventures, startups are often financed by Eleven, Teres Capital, Seedrs. The meaningful sponsors for the fund in investment in the same round are Eleven, Teres Capital, Techstars. In the next rounds fund is usually obtained by Eleven, Speedinvest, Seedrs.

The overall number of key employees were 10.

The fund has no specific favorite in a number of founders of portfolio startups. In case when startup counts 1 of the founder, the chance for it to get the investment is meager. Among the various public portfolio startups of the fund, we may underline Gtmhub, ProsFit, CheckYeti.com Besides, a startup requires to be at the age of 2-3 years to receive the investment from the fund. For fund there is no match between the country of its foundation and the country of its the most frequent investments - United States. Among the most successful fund investment fields, there are Software, Machine Learning.

The high activity for fund was in 2014. Speaking about the real fund results, this VC is 16 percentage points less often commits exit comparing to other organizations. Deals in the range of 100 thousands - 1 million dollars are the general things for fund. Opposing the other organizations, this LAUNCHub Ventures works on 27 percentage points less the average amount of lead investments. When the investment is from LAUNCHub Ventures the average startup value is 1-5 millions dollars. The fund is constantly included in 13-24 deals per year.

Show more

Investor highlights

Industry generalist
Yes
Industry focus
GeneralistAI/Big DataFuture of WorkProptech/Real EstateBlockchain/Crypto/Web3 Show 6 more
Stage focus
SeedPre-Seed
Geo focus
Generalist
Check size
322K — 3M

Discover reliable insights

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

Investments analytics

Last fund

Fund size
EUR 74000000
Fund raised date
2021-01-12

Analytics

Total investments
174
Lead investments
8
Exits
6
Rounds per year
14.50
Follow on index
0.44
Investments by industry
  • Software (62)
  • SaaS (30)
  • E-Commerce (22)
  • Apps (21)
  • Enterprise Software (20)
  • Show 168 more
Investments by region
  • United Kingdom (31)
  • United States (21)
  • Bulgaria (66)
  • Germany (3)
  • Slovenia (11)
  • Show 11 more
Peak activity year
2014
Number of Unicorns
1
Number of Decacorns
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
8
Avg. valuation at time of investment
25M
Group Appearance index
0.36
Avg. company exit year
7
Avg. multiplicator
0.87
Strategy success index
0.20

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
Cloudpipes 09 May 2017 Marketing Automation, SaaS, Data Integration, Cloud Computing, Sales Automation Seed 590K England, London, United Kingdom
GlycanAge 19 Feb 2024 Biotechnology, Health Diagnostics, Personal Health Seed 4M England, Newcastle upon Tyne, United Kingdom

Similar funds

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.