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Investor profile

Aryeh Mergi

Angel investor · 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

2 Power Law outcomes Power Law Ranking #24 · Spain · 2 Power Law outcomes · Active 2026
Enterprise value ↑ 340% 5y
$4B
Unicorns → 5y
2
Decacorns → 5y
0
Thoroughbreds → 5y
2
Featured in #24Power Law Investor Ranking · Spain · 2026 Cross-stageby Power Law score · 2 outcomes

Aryeh Mergi is an angel investor active globally. The page below shows 2 Power Law outcomes from Aryeh Mergi's portfolio — 2 unicorns ($1B+ valuation) and 0 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in eCommerce & Marketplaces · Other B2B Software; top portfolio geographies are Spain · USA. Aryeh Mergi ranks #24 in Spain in the 2026 Dealroom Power Law Investor Ranking by cross-stage outcomes.

Portfolio analysis

The 2 Aryeh Mergi Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. Spain1
  2. USA1
By sectorCount
  1. eCommerce & Marketplaces1
  2. Other B2B Software1
By stage enteredCount
  1. Series A1
  2. Seed1
01 · Portfolio market map

Aryeh Mergi's 2 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
2 of 2 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 Aryeh Mergi first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

Where Aryeh Mergi's founders come from — and where they study.

12 founders across the 2 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Technion Israel Institute of Technology and Booking.com are the deepest single pipelines.

LocationCount
Israel6
El Salvador3
View on app →
UniversityCount
Technion Israel Institute of Technology2
Touro College2
The Open University of Israel1
University of Navarra1
University of Oxford1
Harvard University1
Harvard Business School1
Babson College1
View on app →
Origin companyCount
Booking.com1
WalkMe1
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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 →
04 · Compare with peers

How does Aryeh Mergi stack up?

Aryeh Mergi 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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