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Figma: History, Art, Companies & Products
Figma is a collaborative web-based application for user interface design, supporting the design of mobile apps, websites, and illustrations, and has 13 million users as of 2025. It is the product of the eponymous Figma, Inc., a startup company founded in 2012 by Dylan Field and Evan Wallace. The app allows multiple users to edit the same design…
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Figma topic overview
The analysis highlights History, Art, Companies and Products as prominent areas in the source structure around Figma.
Related topics
56
Source areas
3
Connected nodes
59
Extracted relationships
63
Concept neighborhoods
16
Bridge connections
59
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 · 28 topics
Overview · 26 topics
Features · 2 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.
Android
26.29 / August 3, 2026; 21 days ago (2026-08-03)
Developers
Figma, Inc.
iOS[a]
26.31 / August 19, 2026; 5 days ago (2026-08-19)
License
Proprietary
Operating system
Windows 10, 11 · macOS 14+ · Android 8+ · iOS 18+[a] · Web
Release
September 27, 2016; 9 years ago (2016-09-27)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Figma connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Figma shows recurring relationship patterns in the source. For example, Figma → Android 8+, iOS 17 (2026), iOS 18+[a], macOS 10.10 (2017), macOS 10.11 (2018), macOS 10.12 (2019), macOS 10.13 (2020), macOS 10.14 (2021), macOS 10.15 (2022), macOS 12 (2024), macOS 13, iOS 16 (2025), macOS 14+, Web, Windows 10, 11, Windows 7, 8, 8.1, macOS 11, iOS 15 (2023) Another extracted example is Figma → Brown University, California, Computer Science Department, CS Departmental Undergraduate Group, Dylan Field, Evan Wallace, Field, Google Docs, In, Teaching Assistant, That, The, The Brown Daily Herald, Thiel Fellow, Wallace. Use these groups to spot repeated connection types before inspecting the individual relationships.
Figma → 126.8.16 / August 20, 2026; 4 days ago (2026-08-20), Windows126.8.16 / August 20, 2026; 4 days ago (2026-08-20)Android26.29 / August 3, 2026; 21 days ago (2026-08-03)iOS[a]26.31 / August 19, 2026; 5 days ago (2026-08-19)
Android· 1
Figma → 26.29 / August 3, 2026; 21 days ago (2026-08-03)
Developers· 1
Figma → Figma, Inc.
iOS[a]· 1
Figma → 26.31 / August 19, 2026; 5 days ago (2026-08-19)
License· 1
Figma → Proprietary
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 63 structured relationships around Figma. Examples in this analysis include Figma → Android → 26.29 / August 3, 2026; 21 days ago (2026-08-03) and Figma → Developers → Figma, Inc.. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Figma
Android
26.29 / August 3, 2026; 21 days ago (2026-08-03)
1.00
infobox
Figma
Developers
Figma, Inc.
1.00
infobox
Figma
iOS[a]
26.31 / August 19, 2026; 5 days ago (2026-08-19)
1.00
infobox
Figma
License
Proprietary
1.00
infobox
Figma
Operating system
Windows 10, 11
1.00
infobox
Figma
Operating system
macOS 14+
1.00
infobox
Figma
Operating system
Android 8+
1.00
infobox
Figma
Operating system
iOS 18+[a]
1.00
infobox
Figma
Operating system
Web
1.00
infobox
Figma
Operating system
iOS 17 (2026)
1.00
infobox
Figma
Operating system
macOS 13, iOS 16 (2025)
1.00
infobox
Figma
Operating system
macOS 12 (2024)
1.00
infobox
Figma
Operating system
Windows 7, 8, 8.1, macOS 11, iOS 15 (2023)
1.00
infobox
Figma
Operating system
macOS 10.15 (2022)
1.00
infobox
Figma
Operating system
macOS 10.14 (2021)
1.00
infobox
Figma
Operating system
macOS 10.13 (2020)
1.00
infobox
Figma
Operating system
macOS 10.12 (2019)
1.00
infobox
Figma
Operating system
macOS 10.11 (2018)
1.00
infobox
Figma
Operating system
macOS 10.10 (2017)
1.00
infobox
Figma
Release
September 27, 2016; 9 years ago (2016-09-27)
1.00
infobox
Figma
Type
Vector graphics editor Whiteboarding
1.00
infobox
Figma
Type
Whiteboarding
1.00
infobox
Figma
Website
figma.com
1.00
infobox
Figma
Windows
Windows126.8.16 / August 20, 2026; 4 days ago (2026-08-20)Android26.29 / August 3, 2026; 21 days ago (2026-08-03)iOS[a]26.31 / August 19, 2026; 5 days ago (2026-08-19)
1.00
infobox
Figma
Windows
126.8.16 / August 20, 2026; 4 days ago (2026-08-20)
1.00
infobox
Figma
is a
collaborative web-based application for user interface design
0.90
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Figma bring nearby vocabulary together. In this analysis, examples include Million, Adobe and Users. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Figma
Million
Adobe
Users
Announced
June
Funding
Investor
Lead
Raised
Tools
April
Series
figma
Million
Adobe
Users
Announced
June
Funding
Investor
Lead
Raised
Tools
April
Series
user interface design
Users
Allows
Figma
Apps
Features
Mobile
Product
Mode
Editing
Tools
Would
Announced
startup company
Wallace
New
Field
App
Mobile
Product
Figma's
Series
Billion
Editing
Funding
Investor
web browser
Webgl
Designs
Graphics
Browser
Vector
Web
Features
Tools
Users
Mode
Field
New
adobe
Billion
Figma
Would
Announced
Design
Application
Features
Product
Vector
Editing
Funding
Field
adobe creative cloud
Billion
Figma
Would
Announced
Design
Application
Features
Product
Vector
Editing
Funding
Field
adobe xd
Billion
Figma
Would
Announced
Design
Application
Features
Product
Vector
Editing
Funding
Field
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Figma, one of the stronger structural bridges in this analysis connects Figma 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Figma
Nodes60
Edges59
Triples63
Avg. degree1.97
Density0.033333
Components1
Source & methodology
TTTA analyzes the structure around Figma to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Companies & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Figma · EN edition · Analysis: TopicsToTalkAbout
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