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Investor profile

Edward Lando

Angel investor · Miami, USA · Founded 2014 · Active in 2026

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 #61 · 18 Power Law outcomes · Active 2026
Enterprise value ↑ 183% 5y
$102B
Unicorns ↑ 33% 5y
16
Decacorns ↑ 100% 5y
2
Thoroughbreds ↑ 38% 5y
18

Edward Lando is an angel investor based in Miami, USA, founded in 2014. The page below shows 18 Power Law outcomes from Edward Lando's portfolio — 16 unicorns ($1B+ valuation) and 2 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Fintech · AI · Other; top portfolio geographies are USA · China · Colombia. Edward Lando ranks #61 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 18 Edward Lando Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. USA15
  2. China1
  3. Colombia1
  4. France1
By sectorCount
  1. Fintech7
  2. AI3
  3. Other3
  4. eCommerce & Marketplaces2
  5. Food1
  6. Marketing1
  7. Other B2B Software1
By stage enteredCount
  1. Series B+10
  2. Seed8
01 · Portfolio market map

Edward Lando'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 Edward Lando first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

Where Edward Lando's founders come from — and where they study.

32 founders across the 18 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Stanford University Graduate School of Business and Ultimate Software are the deepest single pipelines.

LocationCount
United States21
China4
Romania4
Colombia2
Peru1
View on app →
UniversityCount
Stanford University Graduate School of Business3
Cornell University3
Harvard Business School3
Stanford University3
The University of the Andes2
Wharton School of the University of Pennsylvania2
Pontifical Catholic University of Peru1
Peking University1
Pompeu Fabra University1
University of Oxford1
+7 more →
Origin companyCount
Ultimate Software2
Mu Sigma2
Snapdeal2
Uber2
Selina1
Lynda1
Clara1
Palantir1
Tempus1
Zillow1
+25 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 Edward Lando.

Senior investment team at Edward Lando has not been published on this profile yet.
Suggest the partner roster →
No partner roster has been published on this profile yet.
04 · Compare with peers

How does Edward Lando stack up?

Edward Lando 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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