Polymarket

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Polymarket topic overview

The analysis highlights History, Art and Companies as prominent areas in the source structure around Polymarket.

Related topics: 138
Source areas: 4
Connected nodes: 142
Extracted relationships: 129
Concept neighborhoods: 38
Bridge connections: 142

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

History · 46 topics

Overview · 45 topics

War bets · 28 topics

Legal and regulatory issues · 19 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded: June 2020; 6 years ago (2020-06) in New York City, U.S.
Industry: Prediction market · Sports betting · Cryptocurrency
Owner: Shayne Coplan (majority)
Headquarters: 1280 Lexington Avenue New York, NY 10028 U.S.
Area served: Worldwide
Founder: Shayne Coplan

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Polymarket connects Entity context

The extracted context around Polymarket shows recurring relationship patterns in the source. For example, Polymarket → August, By, Democratic, Donald Trump, FiveThirtyEight, Harris, In, Joe Biden, Josh Shapiro, June, Kamala Harris, Minnesota, Nate Silver, November, Pennsylvania, Republican, Tim Walz, Walz Another extracted example is Polymarket → Emanuel Fabian, Fabian, Iran, Iranian, Israel, Israeli, It, March, Reporters Without Borders, Representative Mike Levin, RSF, The, The Times, There, United States, Users. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to 2024 United States elections · 18

Polymarket → August, By, Democratic, Donald Trump, FiveThirtyEight, Harris, In, Joe Biden, Josh Shapiro, June, Kamala Harris, Minnesota, Nate Silver, November, Pennsylvania, Republican, Tim Walz, Walz

related to Twelve-Day War and 2026 Iran War · 16

Polymarket → Emanuel Fabian, Fabian, Iran, Iranian, Israel, Israeli, It, March, Reporters Without Borders, Representative Mike Levin, RSF, The, The Times, There, United States, Users

related to history · 15

Polymarket → According, CFTC, Christopher Giancarlo, Commodity Futures Trading Commission, Ethereum, Founded, Founders Fund, In January, In May, Peter Thiel, Shayne Coplan, Swap Execution Facility, These, US, Vitalik Buterin

related to Legal and regulatory issues · 13

Polymarket → As, CFTC, Iran, Israeli, OpenAI, Ritchie Torres, Russo-Ukrainian, September, Suspicious, The, United States, Various, Venezuela

related to Russo-Ukrainian War · 13

Polymarket → After, During, Institute, ISW, Myrnohrad, November, Russia, Russian, Russo-Ukrainian, Study, The, Ukrainian DeepState, War

related to Regional lawsuits and bans · 12

Polymarket → Australia, France, In July, Italy, Netherlands, Poland, Romania, Singapore, South Korea, Spain, Switzerland, United States

related to Relationship with Trump family · 12

Polymarket → Capital, CFTC, Commodity Futures Trading Commission, Department, Donald Trump, Donald Trump Jr, In July, Joe Biden, Justice, The, The CFTC, Trump

related to 2026 United States attack on Venezuela · 7

Polymarket → He, January, Nicolás Maduro, Special Forces, These, United States, Venezuela

Industry · 3

Polymarket → Cryptocurrency, Prediction market, Sports betting

related to External links · 3

Polymarket → Media, Wikimedia CommonsOfficial, Wiktionary-logo-en-v2

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

platform 2026 bets company markets prediction gambling market 2025 trump cftc information 2024 states betting outcomes united new trading sports

Polymarket relationships Subject–Predicate–Object triples

TTTA extracted 129 structured relationships around Polymarket. Examples in this analysis include Polymarket → Area served → Worldwide and Polymarket → Founded → June 2020; 6 years ago (2020-06) in New York City, U.S.. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Polymarket	Area served	Worldwide	1.00	infobox
Polymarket	Founded	June 2020; 6 years ago (2020-06) in New York City, U.S.	1.00	infobox
Polymarket	Founder	Shayne Coplan	1.00	infobox
Polymarket	Headquarters	1280 Lexington Avenue New York, NY 10028 U.S.	1.00	infobox
Polymarket	Industry	Prediction market	1.00	infobox
Polymarket	Industry	Sports betting	1.00	infobox
Polymarket	Industry	Cryptocurrency	1.00	infobox
Polymarket	Key people	Shayne Coplan (CEO)	1.00	infobox
Polymarket	Owner	Shayne Coplan (majority)	1.00	infobox
Polymarket	Products	Prediction market platform	1.00	infobox
Polymarket	Type	Private	1.00	infobox
Polymarket	Website	polymarket.com	1.00	infobox
Polymarket	is a	American cryptocurrency-based prediction market which offers a platform where individuals can place bets on future outcomes	0.90	text
Polymarket	is a	prediction market that allows users to gain/lose on the outcome of world events	0.90	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Polymarket bring nearby vocabulary together. In this analysis, examples include Gambling, Trump and Bets. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

Polymarket
- Gambling
- Trump
- Bets
- Prediction
- Cftc
- States
- Access
- Donald
- Due
- Futures
- Including
- Users
polymarket
- Gambling
- Trump
- Bets
- Prediction
- Cftc
- States
- Access
- Donald
- Due
- Futures
- Including
- Users
prediction markets
- Markets
- Prediction
- Sports
- Information
- Outcomes
- Gambling
- New
- York
- Users
- May
- Betting
- Polymarket
sports bets
- War
- Gambling
- Military
- Polymarket
- Sports
- Users
- United
- States
- Market
- Platform
- Due
- York
new york times
- New
- York
- Legal
- Platform
- Prediction
- Futures
- Users
- Market
- Sports
- Regulatory
- War
- Betting
gambling regulatory authority
- Trump
- United
- States
- January
- Prediction
- Sports
- Polymarket
- Markets
- Cftc
- Gambling
- Regulatory
- Market
gambling regulatory authority of ireland
- Trump
- United
- States
- January
- Prediction
- Sports
- Polymarket
- Markets
- Cftc
- Gambling
- Regulatory
- Market
war bets
- War
- Military
- Polymarket
- Sports
- Users
- Market
- Platform
- Due
- May
- York
- Betting
- United

Connections between topic areas Semantic bridges

For Polymarket, one of the stronger structural bridges in this analysis connects Polymarket with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Polymarket — History · splits 96 ⟂ 47

Polymarket — Overview · splits 97 ⟂ 46

Polymarket — War bets · splits 114 ⟂ 29

Polymarket — Legal and regulatory issues · splits 123 ⟂ 20

Map overview Semantic statistics

Polymarket

Nodes143

Edges142

Triples129

Avg. degree1.99

Density0.013986

Components1

Source & methodology

TTTA analyzes the structure around Polymarket to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Polymarket · EN edition · Analysis: TopicsToTalkAbout