JetBrains

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JetBrains topic overview

The analysis highlights History, Community, Art and Technology as prominent areas in the source structure around JetBrains.

Related topics: 82
Source areas: 6
Connected nodes: 88
Extracted relationships: 206
Concept neighborhoods: 39
Bridge connections: 88

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.

Products · 30 topics

Overview · 25 topics

Partnerships · 15 topics

History · 6 topics

Community and education initiatives · 5 topics

Financial performance · 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.

Founded: February 2000; 26 years ago (2000-02)
Industry: Software
Headquarters: Amsterdam, The Netherlands
Key people: Sergey Dmitriev · Maxim Shafirov · Kirill Skrygan, CEO
Net income: 2,479,110,000 Czech koruna (2024)
Number of employees: 2,800

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.

Partnerships

Channel partners Channel partner
Salesforce
Google Cloud Google Cloud Platform
Gemini 3 Pro Gemini (language model)
OpenAI
Vertex AI Vertex AI?action=edit&redlink=1
Large language models Large language model
AI Assistant JetBrains AI Assistant?action=edit&redlink=1
Junie
Gemini Code Assist Gemini Code Assist?action=edit&redlink=1
Java Community Process
Kotlin Kotlin (programming language)
JUnit
Unity Unity Technologies
GitLab

Community and education initiatives

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 JetBrains connects Entity context

The extracted context around JetBrains shows recurring relationship patterns in the source. For example, JetBrains → AI, AI Assistant, Cloud Workstations, Flash, Gemini, Gemini Pro, Google Cloud, Google Cloud Workstations, Google Cloud's, Google Cloud's Vertex AI, Google's Gemini, IDE, In, IntelliJ IDEA, JetBrains AI Assistant, JetBrains IDEs, Later, LLM, LLMs, OpenAI's GPT-4o Another extracted example is JetBrains → After, Android, Android App, Android Studio, Apache License, Community Edition, Eclipse ADT, Eclipse Android Developer Tool, February, Google, IDE, IDEs, In, In January, In June, IntelliJ IDEA, IntelliJ Platform, It, JetBrains Mono, Kotlin. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Google Cloud · 25

JetBrains → AI, AI Assistant, Cloud Workstations, Flash, Gemini, Gemini Pro, Google Cloud, Google Cloud Workstations, Google Cloud's, Google Cloud's Vertex AI, Google's Gemini, IDE, In, IntelliJ IDEA, JetBrains AI Assistant, JetBrains IDEs, Later, LLM, LLMs, OpenAI's GPT-4o

related to Open source projects · 21

JetBrains → After, Android, Android App, Android Studio, Apache License, Community Edition, Eclipse ADT, Eclipse Android Developer Tool, February, Google, IDE, IDEs, In, In January, In June, IntelliJ IDEA, IntelliJ Platform, It, JetBrains Mono, Kotlin

related to Others · 21

JetBrains → Android Studio, Certifications, CLion, Community, Datalore, Educational, EduTools, GoLand, IntelliJ IDEA, Java, JetBrains Academy, July, Kotlin, November, PhpStorm, Professional, PyCharm, Python, The Academy, Ultimate

related to Educational and research projects · 18

JetBrains → Before, Data Analysis, JetBrains Research, Laboratory, Mobile Robot Algorithms, Petersburg Department, Russia, Russian, Russian Academy, Saint Petersburg State University, Sciences, St, Steklov Mathematical Institute, The BioLabs Laboratory, The Computer Science Club, The JetBrains Laboratory, Ukraine, Yandex School

related to Team tools · 17

JetBrains → Git, GitHub, In May, It, January, Java, Mercurial, Perforce, Russian, Space, SpaceCode, Subversion, TeamCity, The New York Times, United States, Upsource, US

related to AI tools · 14

JetBrains → AI, AI Assistant, AI-assisted, April, Google, In April, January, JetBrains AI Assistant, JetBrains IDEs, Junie, Mellum, OpenAI, The, Unlike

related to history · 13

JetBrains → CEO Sergey Dmitriev, Eugene Belyaev, In, IntelliJ Renamer, IntelliJ Software, Java, Maxim Shafirov, Oleg Stepanov, Prague, Russian, Sergey Dmitriev, The, Valentin Kipyatkov

related to Programming languages · 13

JetBrains → Android, Google, Google I/O, In May, Java, JavaScript, JetBrains MPS, Kotlin, Kotlin Island, LLVM, Petersburg, St, The

see also · 10

JetBrains → AI-assisted, Assist, GitHub CopilotHyperskill, Go, Java, JavaScript, Kotlin, List, Python, SQL

related to Community and education initiatives · 9

JetBrains → Additionally, All Products Pack, In, IT, Startup, The, The Developer Recognition Program, Through, User Group Support Program

Important terminology

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

Important terminology

code development company intellij kotlin google ides community software programming java support ai also idea assistant developers android model tools

JetBrains relationships Subject–Predicate–Object triples

TTTA extracted 206 structured relationships around JetBrains. Examples in this analysis include JetBrains → Founded → February 2000; 26 years ago (2000-02) and JetBrains → Headquarters → Amsterdam, The Netherlands. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
JetBrains	Founded	February 2000; 26 years ago (2000-02)	1.00	infobox
JetBrains	Headquarters	Amsterdam, The Netherlands	1.00	infobox
JetBrains	Industry	Software	1.00	infobox
JetBrains	Key people	Sergey Dmitriev	1.00	infobox
JetBrains	Key people	Maxim Shafirov	1.00	infobox
JetBrains	Key people	Kirill Skrygan, CEO	1.00	infobox
JetBrains	Net income	2,479,110,000 Czech koruna (2024)	1.00	infobox
JetBrains	Number of employees	2,800	1.00	infobox
JetBrains	Operating income	2,041,654,000 Czech koruna (2024)	1.00	infobox
JetBrains	Revenue	15,065,029,000 Czech koruna (2024)	1.00	infobox
JetBrains	Total assets	17,426,568,000 Czech koruna (2024)	1.00	infobox
JetBrains	Type	Private limited company	1.00	infobox
JetBrains	Website	jetbrains.com	1.00	infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around JetBrains bring nearby vocabulary together. In this analysis, examples include Ides, Development and Ai. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

JetBrains
- Ides
- Development
- Ai
- Google
- Cloud
- Assistant
- Idea
- Community
- Tools
- Developers
- Model
- Software
jetbrains
- Ides
- Development
- Ai
- Google
- Cloud
- Assistant
- Idea
- Community
- Tools
- Developers
- Model
- Software
software development
- Tools
- Environments
- Integrated
- Studio
- Software
- Support
- Ides
- Intellij
- Android
- Developers
- Idea
- Google
integrated development environments
- Environments
- Integrated
- Tools
- Ides
- Rider
- Studio
- Software
- Cloud
- Support
- Idea
- Intellij
- Android
intellij idea
- Idea
- Intellij
- Community
- Rider
- Developers
- Ides
- Integrated
- Development
- Android
- Studio
- Jetbrains
- Environments
code quality analysis
- Analysis
- Code
- Tool
- Programming
- Support
- Resharper
- Java
- Russian
- Users
- Kotlin
- Ides
- Jetbrains
code refactoring
- Analysis
- Tool
- Programming
- Support
- Resharper
- Java
- Kotlin
- Ides
- Jetbrains
- Development
- Technology
- Android
visual studio code
- Android
- Support
- Analysis
- Tool
- Programming
- Rider
- Resharper
- Java
- Kotlin
- Ides
- Jetbrains
- Development

Connections between topic areas Semantic bridges

For JetBrains, one of the stronger structural bridges in this analysis connects JetBrains with Products. 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

JetBrains — Products · splits 58 ⟂ 31

JetBrains — Overview · splits 63 ⟂ 26

JetBrains — Partnerships · splits 73 ⟂ 16

JetBrains — History · splits 82 ⟂ 7

JetBrains — Community and education initiatives · splits 83 ⟂ 6

Map overview Semantic statistics

JetBrains

Nodes89

Edges88

Triples206

Avg. degree1.98

Density0.022472

Components1

Source & methodology

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

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