LX

Investor profile

Ling Xiao

Angel, Operator angel

Palo Alto·California·United States6known investments

Ling Xiao is an angel investor and operator angel based in Palo Alto, California, United States with 6 known investments: Perfect Price, Kitchit, Brava Home, Kenzie Academy, Reflektive and Green Chef.

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Investment focus

Stage
Seed
Sector
AISaaS

Contacts

lin***@***.comPhone number on fileLinkedIn profile on fileAvailable after registration.
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Ling Xiao portfolio companies (6)

  • Perfect Price
  • Kitchit
  • Brava Home
  • Kenzie Academy
  • Reflektive
  • Green Chef

Investor Profile

The listing covers sectors AI and SaaS, and focus areas Analytics, CRM, Cloud Infrastructure and Cybersecurity. Startups operating in these areas may find Ling Xiao relevant.

Ling Xiao appears in Seed rounds across the known deals.

The portfolio and focus above give founders context on whether Ling Xiao matches their raise.

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Frequently asked questions

Who is Ling Xiao?

Ling Xiao is an angel investor and operator angel based in Palo Alto, California, United States with 6 known investments on file, among them Perfect Price, Kitchit and Brava Home. The sections above list the sectors and stages attached to that record.

What does Ling Xiao invest in?

Listed sectors include AI and SaaS; listed focus areas include Analytics, CRM, Cloud Infrastructure and Cybersecurity. Those tags come from the companies attached to this profile, so they read as a record of what has been backed rather than a stated preference for what comes next.

What stage does Ling Xiao invest at?

The known deals of Ling Xiao include Seed rounds. Stage is the strongest single filter when you build a target list: an investor with no record at your stage rarely starts with you.

How do I contact Ling Xiao?

An email address, a phone number and a LinkedIn page are on file for Ling Xiao. The address stays masked on this page and is readable inside RaiseHunt after you create an account.

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Data: RaiseHunt investor dataset · Snapshot 5 September 2026 · How this data is built · Report a correction or request removal