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Investor profile

Lee Linden

Angel investor · San Francisco, USA · Founded 2014 · Active in 2026

← Power Law Ranking

A public taster of the full Dealroom platform — request a demo to explore live deal flow, full investor history, and team intel. · Last updated 15 Apr 2026 · Methodology

18 Power Law outcomes Power Law Ranking #36 · 18 Power Law outcomes · Active 2026
Enterprise value ↑ 45% 5y
$200B
Unicorns ↑ 13% 5y
17
Decacorns ↑ 67% 5y
5
Thoroughbreds ↑ 12% 5y
18
Featured in #36Power Law Investor Ranking · Global · 2026 Top 1%by Seed → $100M+ revenue outcomes

Lee Linden is an angel investor based in San Francisco, USA, founded in 2014. The page below shows 18 Power Law outcomes from Lee Linden's portfolio — 17 unicorns ($1B+ valuation) and 1 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Fintech · Health Tech & Medtech · AI; top portfolio geographies are USA. Lee Linden ranks #36 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 18 Lee Linden Power Law outcomes ($100M+ revenue and above).

Snapshot of where the outcomes are concentrated by country, sector, and stage entered.

By countryCount
  1. USA18
By sectorCount
  1. Fintech5
  2. Health Tech & Medtech3
  3. AI2
  4. Other B2B Software2
  5. eCommerce & Marketplaces2
  6. Edtech1
  7. Cybersecurity1
  8. Biotech & Life Sciences1
  9. Transportation1
By stage enteredCount
  1. Series B+2
  2. Series A5
  3. Seed11
01 · Portfolio market map

Lee Linden's 18 Power Law outcomes.

Toggle between a sector landscape and a world map. Both views respond to the stage and outcome-tier filters. The faded names at the bottom of bigger boxes are part of the full list — click "+ N more" to reveal them.

Stage entered
Outcome tier
Region
Group by
18 of 18 Power Law outcomes
Logos hosted by Dealroom; click any chip to open the company in app.dealroom.co. The dot inside each chip shows the company's highest tier — red Gigacorn, violet Centicorn/Decacorn, lavender Unicorn, blue Thoroughbred, green Colt. Tiers are inclusive: a Unicorn (e.g. Klarna) also matches the Thoroughbred filter, a Decacorn also matches Unicorn and Thoroughbred, and so on up the ladder. Colt is a separate axis (high-growth, smaller revenue) and only matches itself. Map dots use the same colour code; hover for details. Sectors are mutually exclusive (priority-ordered classification). Stage entered = the round Lee Linden first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

Where Lee Linden's founders come from — and where they study.

67 founders across the 18 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Stanford University and Alphabet | Google are the deepest single pipelines.

LocationCount
United States40
Palestine6
United Kingdom3
Taiwan3
Morocco3
France3
India2
Pakistan2
Russia2
Peru1
+2 more →
UniversityCount
Stanford University8
University of California, San Diego6
University of Oxford5
Stanford University Graduate School of Business3
Dartmouth College3
University of Southern California3
Massachusetts Institute of Technology3
London School of Economics and Political Science2
Carnegie Mellon University2
University of Washington2
+21 more →
Origin companyCount
Alphabet | Google9
Microsoft4
Digital Turbine2
Zillow2
Twitch2
Yahoo!2
Sift1
Uber1
X.1
Yelp1
+7 more →
Origin = country a founder is born in or grew up in (founders may have multiple origins; counts include all entries). University = highest-listed degree. Origin company = a previous employer where the founder was tagged before starting their current company. Explore the full Sequoia infographic on Thoroughbreds & Unicorns →
03 · Key people

Key people at Lee Linden.

Senior investment team at Lee Linden has not been published on this profile yet.
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04 · Compare with peers

How does Lee Linden stack up?

Lee Linden in orange, your selection in blue and other colours. Pick from the global roster of 35 peer investors — filter by region or hit "Find similar shapes" to auto-pick the three closest. The funnel matrix mirrors the spider chart on the ranking page; the line chart shows each firm's share of global unicorns minted that year — peaks reveal vintage years.

Compare against

Stage focus

Companies by entry stage and outcome tier

Sector focus

Companies per investor across the 10 highest-volume sectors

Share of new unicorns per year

% of all global unicorns minted that year, year by year
Source: Dealroom Power Law dataset. Investors shown are the 2026 Power Law top 35 by combined entry-to-outcome score, drawn from the overview and locations_data sheets. Funnel-matrix axes rescale per-axis using the maximum among the currently selected investors, so the polygons always fill the chart for shape comparison.

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Data as of 15 Apr 2026 · Source: Dealroom Power Law dataset · Methodology
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