Figo Yu is an Associate at GGV Capital, whose known portfolio counts 10 companies.
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Investment focus
Contacts
Affiliated funds' portfolios
Associate at GGV Capital, whose known portfolio counts 10 companies
- Boomerang
- Nozomi Networks
- Jam
- Mind Network
- Torq
- Oatside
- Uxlink
- Inngest
- Supermom
- Botai Automation
Investor Profile
The listing covers sectors AI, Commerce, Consumer and Education, and focus areas AI Applications, Analytics, Cybersecurity and Data. Startups operating in these areas may find Figo Yu relevant.
Stage-wise, the deals at GGV Capital cluster around Growth, Seed and Series A rounds.
The firm portfolio and the focus above give founders context on whether Figo Yu matches their raise.
Colleagues at GGV Capital
Frequently asked questions
Who is Figo Yu?
Figo Yu is a venture capital investor based in Nanjing, Jiangsu, China, listed as Associate at GGV Capital. The known portfolio of that firm counts 10 companies. That portfolio belongs to the firm, not to Figo Yu personally.
What does Figo Yu invest in?
Listed sectors include AI, Commerce, Consumer and Education; listed focus areas include AI Applications, Analytics, Cybersecurity and Data. Those tags come from the portfolios of the firms this profile is attached to, so they read as a record of what has been backed rather than a stated preference for what comes next.
What stage does Figo Yu invest at?
GGV Capital appears in Growth, Seed and Series A rounds across its known deals, and Figo Yu is listed there as Associate. Stage is the strongest single filter when you build a target list: an investor with no record at your stage rarely starts with you.
Which firm is Figo Yu listed at?
Figo Yu is listed as Associate at GGV Capital. 6 other people in the database share a firm with Figo Yu.
How do I contact Figo Yu?
A phone number and a LinkedIn page are on file for Figo Yu. They are readable inside RaiseHunt after you create an account. The database holds no email address for this profile.
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Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal