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Investor profile

Felicis

Venture capital firm · Menlo Park, USA · Founded 2006 · 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

70 Power Law outcomes Power Law Ranking #18 · 70 Power Law outcomes · Active 2026
Enterprise value ↑ 9% 5y
$518B
Unicorns ↑ 24% 5y
62
Decacorns → 5y
8
Thoroughbreds ↑ 28% 5y
68

Felicis was founded in 2006 in Menlo Park by Aydin Senkut, an early Google product manager. The thesis is "iconoclasts welcome" — sector-agnostic bets on contrarian founders across consumer, enterprise, and frontier categories.

Notable bets include Adyen (Series A), Shopify, Canva, Notion, and Mercor. Felicis manages over $3B AUM.

Portfolio analysis

The 70 Felicis Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. USA61
  2. Australia2
  3. UK1
  4. Germany1
  5. Ireland1
  6. Netherlands1
  7. Finland1
  8. Singapore1
  9. Canada1
By sectorCount
  1. AI13
  2. Fintech10
  3. Other B2B Software7
  4. Other6
  5. Biotech & Life Sciences5
  6. Health Tech & Medtech5
  7. eCommerce & Marketplaces5
  8. Cybersecurity4
  9. Edtech3
  10. Marketing3
  11. Space3
  12. Transportation3
By stage enteredCount
  1. Series B+29
  2. Series A22
  3. Seed19
01 · Portfolio market map

Felicis's 70 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
70 of 70 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 Felicis first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

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

156 founders across the 70 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 States74
Turkey8
India7
Israel6
Ireland5
Germany4
Taiwan4
Chile3
Australia3
Sweden3
+12 more →
UniversityCount
Stanford University25
Berkeley9
Wharton School of the University of Pennsylvania8
Harvard University6
Massachusetts Institute of Technology6
University of Cambridge5
New York University4
NYU Stern School of Business4
Tel Aviv University3
Technological University Dublin2
+53 more →
Origin companyCount
Alphabet | Google22
Meta7
Palantir6
Microsoft6
eBay5
Yahoo!5
Atlassian3
SpaceX | xAI3
Google DeepMind3
Rent the Runway3
+71 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 Felicis.

Photos sourced from public partner pages (firm websites + Wikipedia). Roster and Midas ranks are sourced from the official Forbes 2025 Midas List (compiled by Forbes & TrueBridge Capital Partners). Notable-deal attributions are the most-cited public lead deal for each partner; corrections welcome at [email protected].
04 · Compare with peers

How does Felicis stack up?

Felicis 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.

Want the full picture on Felicis?

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