RSS Investors Fund
4
8M
4
- Stages of investment
- Areas of investment
Summary
Among the most popular portfolio startups of the fund, we may highlight Edgeio, You Software, Attensa. Moreover, a startup needs to be at the age of 2-3 years to get the investment from the fund. We can highlight the next thriving fund investment areas, such as E-Commerce, Information Technology. The fund has exact preference in some founders of portfolio startups.
The real fund results show that this VC is 30 percentage points more often commits exit comparing to other companies. The high activity for fund was in 2005. The common things for fund are deals in the range of 5 - 10 millions dollars. The fund is constantly included in less than 2 deals per year.
The usual cause for the fund is to invest in rounds with 3-4 partakers. Despite the RSS Investors Fund, startups are often financed by Kleiner Perkins, SmartForest Ventures, Palomar Ventures. The meaningful sponsors for the fund in investment in the same round are SmartForest Ventures, Ronald Conway, Palomar Ventures. In the next rounds fund is usually obtained by TransCosmos, Starve Ups, Intel Capital.
Investments analytics
Analytics
- Total investments
- 4
- Lead investments
- 0
- Investments by industry
- Software (2)
- Business Development (1)
- Information Services (1)
- Management Information Systems (1)
- E-Commerce (1) Show 4 more
- Investments by region
-
- United States (4)
- Peak activity year
- 2005
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
- 18
- Group Appearance index
- 0.75
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 |
|---|---|---|---|---|---|
| You Software | 05 Dec 2005 | Software | Early Stage Venture | 9M | United States, Oregon, Portland |
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.