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Investor profile

Scott Banister

Angel investor · San Francisco, USA · Founded 2003 · 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

16 Power Law outcomes Power Law Ranking #35 · 16 Power Law outcomes · Active 2026
Enterprise value ↓ 22% 5y
$297B
Unicorns ↑ 14% 5y
16
Decacorns ↓ 25% 5y
3
Thoroughbreds ↑ 7% 5y
16
Featured in #35Power Law Investor Ranking · Global · 2026 Top 1%by Seed → $100M+ revenue outcomes

Scott Banister is an angel investor based in San Francisco, USA, founded in 2003. The page below shows 16 Power Law outcomes from Scott Banister's portfolio — 16 unicorns ($1B+ valuation) and 0 additional thoroughbreds (companies that crossed $100M+ in revenue without yet reaching $1B+ valuation).

Outcomes are concentrated in eCommerce & Marketplaces · Fintech · Other B2B Software; top portfolio geographies are USA. Scott Banister ranks #35 globally in the 2026 Dealroom Power Law Ranking by Seed → $100M+ revenue companies.

Portfolio analysis

The 16 Scott Banister Power Law outcomes ($100M+ revenue and above).

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

By countryCount
  1. USA16
By sectorCount
  1. eCommerce & Marketplaces5
  2. Fintech5
  3. Other B2B Software3
  4. Food1
  5. Other1
  6. AI1
By stage enteredCount
  1. Series B+3
  2. Series A4
  3. Seed9
01 · Portfolio market map

Scott Banister's 16 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
16 of 16 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 Scott Banister first invested in (where data is available — coverage 93%).
02 · Origin of portfolio founders

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

40 founders across the 16 Power Law outcomes — split by country of origin, university attended, and the company they worked at before founding. University of Pennsylvania and Alphabet | Google are the deepest single pipelines.

LocationCount
United States24
China4
Germany3
South Africa2
United Kingdom1
Russia1
Canada1
Poland1
Mexico1
Ukraine1
+1 more →
UniversityCount
University of Pennsylvania2
UCLA2
Berkeley2
University of Michigan2
Syracuse University2
Stanford University2
Peking University1
University of Illinois Urbana Champaign1
Thayer School of Engineering at Dartmouth1
Stephens College1
+12 more →
Origin companyCount
Alphabet | Google4
Apple2
The Zebra1
Mozilla1
Nvidia1
Spark Networks1
Akamai1
Fluid1
Beyond Meat1
Yelp1
+6 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 Scott Banister.

Senior investment team at Scott Banister 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 Scott Banister stack up?

Scott Banister 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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