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PreAngel is a well known and established VC, which was founded in 2011. The VC's location is in Asia, China. The the headquarters of this VC is in Beijing.
The fund typically invests in rounds with 2-3 participants. Aside from PreAngel, start-ups are often funded by Amplify.LA, Wei Guo, ZhenFund. The fund often co-invests with LeBox Capital, ZhenFund, Decent Capital, overall with 19 funds from our list. In subsequent rounds, the fund is usually joined by SIG China (SIG Asia Investments), Greycroft, GGV Capital, as well as 19 other investors.
Among the most popular portfolio start-ups of the fund, are Ehang, aiCTX AG, Smarking. Also, a start-up has to be aged 1 and less years to expect investment from this fund. We can highlight the most popular investment areas for this fund, such as Artificial Intelligence, Social Media. In addition, there are 8 more industries where it has achieved success. The fund has no a preferred number of founders for start-ups that it invests in. When a start-up has 5+ founders, the probability of closing the deal is low. The country of its foundation and the country of the most frequent investments for the fund doesn't coincide - United States. In addition to this location, the fund participated in 2 other locations.
At the time of investment by PreAngel, a typical start-up valuation would be 5-10 millions dollars. PreAngel participates, on average, in 27 percentage points less than the average amount of lead investments in other funds. In terms of the fund's performance, this VC has 12 percentage points less exits when compared to other organizations. The fund typically enters into 2-6 deals annually. The fund's activity peaked in 2013. Besides, in 2019 the fund was active. The highest number of exits from this fund were in 2019. Typical investments for this fund are deals in the range of 1 - 5 millions dollars.
The fund was created by Lijie Wang. The overall number of key employees in the fund's team is 16.
Group Appearance [how often fund is operating separately from groups with shared interest]
100.0% of cases
Follow-on Index [how often fund is ready to support its portfolio startup at next rounds]
6.9% of cases
Average Portfolio Company
Exit Age [the average age of portfolio startups at which they go public or become acquired]
Decision Makers / Strategy
Similarity Index [see explanation at unicorn-nest.com/dataset-what-we-tweet-vs-what-we-invest]
0.29 out of 1
Success / Strategy Similarity
Index [the matching between fund's investment strategy and its proved successes in the form of portfolio startups high valuations]
0.3 out of 1
Number of Unicorns [amount of portfolio companies, which were valuated at more then $1B]
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