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N8n: History, Companies & Products
n8n (pronounced "n-eight-n", a contraction of "nodemation") is a workflow automation platform and the Berlin company, n8n GmbH, that develops it. Founded by Jan Oberhauser and first released publicly in 2019, n8n lets users build automations by wiring together applications, services and AI models in a visual, node-based editor, with the option to use…
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N8n topic overview
The analysis highlights History, Companies and Products as prominent areas in the source structure around N8n.
Related topics
48
Source areas
6
Connected nodes
54
Extracted relationships
104
Concept neighborhoods
22
Bridge connections
54
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 · 17 topics
Overview · 13 topics
Artificial intelligence features · 6 topics
Licensing · 6 topics
Reception · 5 topics
Platform · 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.
Genre
Task automation
Founded
2019
Industry
Software as a service (SaaS), Workflow automation
Headquarters
Berlin, Germany
Area served
worldwide
Founder
Jan Oberhauser
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 N8n 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 N8n shows recurring relationship patterns in the source. For example, N8n → Accel, April, At, Capital, Deutsche Telekom's, EUR, Evantic, Felicis Ventures, Harpoon, Highland Europe, HV Capital, In March, In October, Meritech, NVIDIA's NVentures, Redpoint, Sequoia, Sequoia Capital, Series, The Another extracted example is N8n → Birmingham, CS1, England, February, ISBN, Jason, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, McFeetors, November, Packt Publishing Ltd, Pant, PDF, Rapid Product Development, Retrieved, Tanay, Wikisource-logo. Use these groups to spot repeated connection types before inspecting the individual relationships.
N8n
Top relations
related to Funding· 21
N8n → Accel, April, At, Capital, Deutsche Telekom's, EUR, Evantic, Felicis Ventures, Harpoon, Highland Europe, HV Capital, In March, In October, Meritech, NVIDIA's NVentures, Redpoint, Sequoia, Sequoia Capital, Series, The
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 104 structured relationships around N8n. Examples in this analysis include N8n → Area served → worldwide and N8n → Founded → 2019. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
N8n
Area served
worldwide
1.00
infobox
N8n
Founded
2019
1.00
infobox
N8n
Founder
Jan Oberhauser
1.00
infobox
N8n
Genre
Task automation
1.00
infobox
N8n
Headquarters
Berlin, Germany
1.00
infobox
N8n
Industry
Software as a service (SaaS), Workflow automation
1.00
infobox
N8n
Key people
Jan Oberhauser (CEO)
1.00
infobox
N8n
Products
AI orchestration platform
1.00
infobox
N8n
Type
GmbH (private)
1.00
infobox
N8n
Website
n8n.io
1.00
infobox
Zapier
instance of
and has been described in coverage as a source-available alternative to hosted tools
0.80
text
Make.The code is published under what the company calls a
instance of
and has been described in coverage as a source-available alternative to hosted tools
0.80
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 N8n bring nearby vocabulary together. In this analysis, examples include Company, Automation and Million. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
N8n
Company
Automation
Million
Berlin
Gmbh
Publicly
Use
Ai
Javascript
Service
Workflow
Series
n8n
Company
Automation
Million
Berlin
Gmbh
Publicly
Use
Ai
Javascript
Service
Workflow
Series
workflow automation
Automations
Berlin
Gmbh
Platform
Ai
Automation
Service
Workflow
N8n
Founded
Jan
Zapier
ai
Founded
Jan
Automations
Oberhauser
Publicly
Workflow
Python
Sap
Added
Berlin
Billion
Funding
ai agents
Founded
Jan
Automations
Oberhauser
Publicly
Workflow
Python
Sap
Added
Berlin
Billion
Funding
javascript
Python
Added
Code
Github
Visual
Year
Users
Sap
Billion
Hosted
Oberhauser
October
source code
Javascript
Python
Sap
Added
Billion
Company
Github
Hosted
October
Publicly
Raised
Roughly
automation
Berlin
Gmbh
Platform
Workflow
N8n
Founded
Jan
Zapier
Company
Funding
Hosted
Make
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 N8n, one of the stronger structural bridges in this analysis connects N8n 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.
N8n
Nodes55
Edges54
Triples104
Avg. degree1.96
Density0.036364
Components1
Source & methodology
TTTA analyzes the structure around N8n to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, 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 — N8n · EN edition · Analysis: TopicsToTalkAbout
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