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Investor profile

Errol Damelin

Angel investor · 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

6 Power Law outcomes Power Law Ranking #10 · UK · 6 Power Law outcomes · Active 2026
Enterprise value ↓ 30% 5y
$20B
Unicorns ↑ 50% 5y
6
Decacorns → 5y
1
Thoroughbreds ↑ 50% 5y
6

Errol Damelin is an angel investor active globally. The page below shows 6 Power Law outcomes from Errol Damelin's portfolio — 6 unicorns ($1B+ valuation) and 0 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in Fintech · Other B2B Software · Transportation; top portfolio geographies are UK · USA. Errol Damelin ranks #10 in UK in the 2026 Dealroom Power Law Investor Ranking by cross-stage outcomes.

Portfolio analysis

The 6 Errol Damelin Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. UK4
  2. USA2
By sectorCount
  1. Fintech3
  2. Other B2B Software1
  3. Transportation1
  4. Health Tech & Medtech1
By stage enteredCount
  1. Series B+2
  2. Seed3
01 · Portfolio market map

Errol Damelin's 6 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
6 of 6 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 Errol Damelin first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

Where Errol Damelin's founders come from — and where they study.

21 founders across the 6 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. Tel Aviv University and Alphabet | Google are the deepest single pipelines.

LocationCount
Israel13
Estonia4
United Kingdom4
View on app →
UniversityCount
Tel Aviv University3
Bar-Ilan University3
University of Tartu2
Camera Obscura School for the Arts2
University of Greenwich2
Columbia Business School2
Tallinn University of Technology1
IDF1
INSEAD Business School1
Ben-Gurion University of the Negev1
+3 more →
Origin companyCount
Alphabet | Google3
Microsoft2
Yahoo!2
Wix2
Duda2
Kyruus1
Amazon1
Canonical1
Salesforce1
CRITEO1
+9 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 →
04 · Compare with peers

How does Errol Damelin stack up?

Errol Damelin 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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