Rate and Review Equity Funding Platforms

10% carried interest
AngelList allows accredited investors to build a diverse portfolio of early-stage startup investments. It is one of the most well-established angel/venture investing platforms.
It was created in 2010 by Naval Ravikant and Babak Nivi and started as an online introduction board for tech startups that needed seed funding. The platform has a mission to democratize the investment process and to help startups with their challenges in fundraising and talent.
Investor Fee Details
Investing online allows you to leverage an LLC that AngelList builds to pool multiple smaller investors into one vehicle. In this case you as the investor would pay a 10% carry to AngelList. This is different than investing in their Syndicates and Index Funds which have a different fee structure you can learn about on that page.
Performance - Returns & Data
AngelList has created an angel/venture fund solution they term, Syndicates. On the site it states these Syndicates are producing 46% returns. They are revolutionizing seed and venture fund creation by reducing management and overhead fees.
- $1 Billion Assets Under Management (AUM)
- 1,657 startups funded in 2019 and 1,133 in 2018
- 335 angels and VCs leading investments in 2019 and 255 in 2018
- 36% of top-tier U.S. VC deals are in the portfolio with 28% in previous year
- investments in 43 countries
- Data above from 2019 in review updated from 2018 in review
More from Founder, Naval
For Founders
Free to list your company on Angellist to raise capital but not all companies get accepted. They do a little less hand holding in the fund raising process for entrepreneurs than some of the other platforms. Reddit contains some good candid feedback from those that have worked to raise money on AngelList.
It is a little more challenging to get listed for founders than some of the other portals and many suggest having traction with a lead syndicate identified first.
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Additional Insights on the offerings
Solutions for real time market analysis to improve your investment decisions leveraging artificial intelligence, data visualization, machine learning, financial modeling, and predictive analytics. Understand trends, sector and geographic performance for Private Equity, VC.
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