Jeff Lawson is an angel investor and operator angel based in San Francisco, California, United States with 14 known investments, including Mattermark, MaintainX, Socket, Arrows, Arcjet, Resolve.ai, Bright, Superblocks, Welcome, Julius AI, Bland AI and Major League Hacking.
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Investment focus
- Stage
- Seed
Contacts
Jeff Lawson portfolio companies (14)
- Mattermark
- MaintainX
- Socket
- Arrows
- Arcjet
- Resolve.ai
- Bright
- Superblocks
- Welcome
- Julius AI
- Bland AI
- Major League Hacking
- Pegasi AI
- RevOps
Investor Profile
The listing covers sectors AI, Climate, Consumer and SaaS, and focus areas Developer Tools, Enterprise SaaS, Machine Learning and Marketing Tech. Startups operating in these areas may find Jeff Lawson relevant.
Jeff Lawson appears in Seed rounds across the known deals.
The portfolio and focus above give founders context on whether Jeff Lawson matches their raise.
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Frequently asked questions
Who is Jeff Lawson?
Jeff Lawson is an angel investor and operator angel based in San Francisco, California, United States with 14 known investments on file, among them Mattermark, MaintainX and Socket. The sections above list the sectors and stages attached to that record.
What does Jeff Lawson invest in?
Listed sectors include AI, Climate, Consumer and SaaS; listed focus areas include Developer Tools, Enterprise SaaS, Machine Learning and Marketing Tech. 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 Jeff Lawson invest at?
The known deals of Jeff Lawson 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 Jeff Lawson?
A phone number and a LinkedIn page are on file for Jeff Lawson. 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