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World (blockchain): History & Companies

World, also known as World Network, is a humanity verification project and financial network. It was developed and launched as the cryptocurrency project Worldcoin. Among other organizations, contributors to the project include Tools for Humanity, a company founded in 2019 by Sam Altman, Max Novendstern, and Alex Blania. World's stated mission is to…

Language: English [EN]
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World (blockchain) topic overview

The analysis highlights History and Companies as prominent areas in the source structure around World (blockchain).

Related topics
37
Source areas
4
Connected nodes
41
Extracted relationships
13
Concept neighborhoods
13
Bridge connections
41

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 · 18 topics
Legal and regulatory issues · 13 topics
Overview · 5 topics
Design · 1 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.

Code
WLD
Developer
Tools for Humanity
White paper
whitepaper.worldcoin.org

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.

Overview

History

Design

Legal and regulatory issues

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 World (blockchain) connects Entity context

The extracted context around World (blockchain) shows recurring relationship patterns in the source. For example, World (blockchain) → WLD Another extracted example is World (blockchain) → Tools for Humanity. Use these groups to spot repeated connection types before inspecting the individual relationships.

World (blockchain)

Top relations

Code · 1
World (blockchain) → WLD
Developer · 1
World (blockchain) → Tools for Humanity
Website · 1
World (blockchain) → world.org
White paper · 1
World (blockchain) → whitepaper.worldcoin.org

Important terminology

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

Important terminology

world data 2025 project also wld humanity worldcoin 2024 users 2023 id million digital verification personal world's launched app protection

World (blockchain) relationships Subject–Predicate–Object triples

TTTA extracted 13 structured relationships around World (blockchain). Examples in this analysis include World (blockchain) → Code → WLD and World (blockchain) → Developer → Tools for Humanity. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
World (blockchain)CodeWLD1.00infobox
World (blockchain)DeveloperTools for Humanity1.00infobox
World (blockchain)Websiteworld.org1.00infobox
World (blockchain)White paperwhitepaper.worldcoin.org1.00infobox
Andreessen Horowitzinstance of250 million in funding from venture capital firms0.80text
it launched out of beta in 2023instance of250 million in funding from venture capital firms0.80text
Andreessen Horowitzinstance of25 million by investors0.80text
London received WLD tokens for being verifiedinstance ofUsers in locations0.80text
Coinbaseinstance ofand be available on exchanges0.80text
Tinderinstance ofwhich owns dating apps0.80text
encryptioninstance ofThe NPC also rejected TFH's claims that it had implemented safeguards0.80text
temporary data captureinstance ofThe NPC also rejected TFH's claims that it had implemented safeguards0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around World (blockchain) bring nearby vocabulary together. In this analysis, examples include Id, Users and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • World (blockchain)
    • Id
    • Users
    • Data
    • App
    • World's
    • Digital
    • Orb
    • Countries
    • May
    • Worldcoin
    • Wld
    • New
  • world (blockchain)
    • Id
    • Users
    • Data
    • App
    • World's
    • Digital
    • Orb
    • Countries
    • May
    • Worldcoin
    • Wld
    • New
  • ministry of communication and digital affairs
    • Token
    • Verification
    • Id
    • App
    • World's
    • Worldcoin
    • Project
    • World
    • Biometric
    • Network
    • New
    • Operations
  • office of the privacy commissioner for personal data
    • Protection
    • Personal
    • Information
    • May
    • Privacy
    • Iris
    • World
    • Order
    • Verification
    • World's
    • Humanity
    • Orb
  • data privacy act of 2012
    • Protection
    • Personal
    • Information
    • May
    • Privacy
    • World
    • Order
    • Humanity
    • Iris
    • Orb
    • Tools
    • Million
  • general data protection regulation
    • Protection
    • Personal
    • Information
    • May
    • Privacy
    • World
    • Order
    • Humanity
    • Iris
    • Orb
    • Million
    • Announced
  • spanish data protection agency
    • Protection
    • Personal
    • Information
    • May
    • Privacy
    • World
    • Order
    • Humanity
    • Iris
    • Orb
    • Million
    • Announced
  • identity verification
    • Digital
    • Personal
    • Project
    • Users
    • World
    • Biometric
    • Iris
    • New
    • Token
    • Information
    • Orb
    • Privacy

Connections between topic areas Semantic bridges

For World (blockchain), one of the stronger structural bridges in this analysis connects World (blockchain) 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
World (blockchain) — History · splits 23 ⟂ 19
World (blockchain) — Legal and regulatory issues · splits 28 ⟂ 14
World (blockchain) — Overview · splits 36 ⟂ 6

Map overview Semantic statistics

World (blockchain)

Nodes42
Edges41
Triples13
Avg. degree1.95
Density0.047619
Components1

Source & methodology

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

Source: Wikipedia — World (blockchain) · EN edition · Analysis: TopicsToTalkAbout

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