Chang Ge is a Group 1001 at Group1001, whose known portfolio counts 4 companies.
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Investment focus
Contacts
Affiliated funds' portfolios
Group 1001 at Group1001, whose known portfolio counts 4 companies
- Kin Insurance
- Coterie Insurance
- Lendbuzz
- Sensible Weather
Investor Profile
The listing covers sectors AI, Climate, FinTech and SaaS, and focus areas API, Data Analytics, Embedded Finance and Enterprise SaaS. Startups operating in these areas may find Chang Ge relevant.
Group1001 appears in Growth, Seed and Series A rounds across its known deals.
What the affiliated firm has backed is the closest available signal on whether Chang Ge is worth approaching.
Colleagues at Group1001
Frequently asked questions
Who is Chang Ge?
Chang Ge is a corporate venture investor based in New York, United States, listed as Group 1001 at Group1001. The known portfolio of that firm counts 4 companies. That portfolio belongs to the firm, not to Chang Ge personally.
What does Chang Ge invest in?
Listed sectors include AI, Climate, FinTech and SaaS; listed focus areas include API, Data Analytics, Embedded Finance and Enterprise SaaS. 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 Chang Ge invest at?
Group1001 appears in Growth, Seed and Series A rounds across its known deals, and Chang Ge is listed there as Group 1001. 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 Chang Ge listed at?
Chang Ge is listed as Group 1001 at Group1001. 2 other people in the database share a firm with Chang Ge.
How do I contact Chang Ge?
An email address and a LinkedIn page are on file for Chang Ge. The address stays masked on this page and is readable inside RaiseHunt after you create an account. The database holds no phone number 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