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Investor profile

Olga Maslikhova

Angel, Operator angel

New York·United States6known investments

Olga Maslikhova is an angel investor and operator angel based in New York, United States. The known portfolio counts 6 companies: ClassPass, MEL Science, Partsimony, VINEBOX, Cibando and Axle Payments.

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Investment focus

Stage
Seed

Contacts

olg***@***.comLinkedIn profile on fileAvailable after registration.
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Olga Maslikhova portfolio companies (6)

  • ClassPass
  • MEL Science
  • Partsimony
  • VINEBOX
  • Cibando
  • Axle Payments

Investor Profile

The known portfolio sits in sectors AI, FinTech, Hardware and SaaS, and focus areas Cybersecurity, Data Analytics, Enterprise SaaS and IoT.

Stage-wise, the known deals cluster around Seed rounds.

The portfolio and focus above give founders context on whether Olga Maslikhova matches their raise.

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Frequently asked questions

Who is Olga Maslikhova?

Olga Maslikhova is an angel investor and operator angel based in New York, United States with 6 known investments on file, among them ClassPass, MEL Science and Partsimony. The sections above list the sectors and stages attached to that record.

What does Olga Maslikhova invest in?

Listed sectors include AI, FinTech, Hardware and SaaS; listed focus areas include Cybersecurity, Data Analytics, Enterprise SaaS and IoT. 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 Olga Maslikhova invest at?

The known deals of Olga Maslikhova 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 Olga Maslikhova?

An email address and a LinkedIn page are on file for Olga Maslikhova. 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