Obsidian Knowledge Graph:
Find the Gaps in Your Thinking
The only knowledge graph analysis tool based on network science. Available as Obsidian plugin or a web app for personal knowledge management.
What Else Can InfraNodus Do?
InfraNodus is not only a useful tool for building and analyzing your Obsidian knowledge graph. It is a powerful platform for research, marketing, SEO, and qualitative analysis — helping you see where to go next.
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Research & Ideation
Generate insights, brainstorm new ideas.
Watch the Video -
Consulting & Marketing
Reveal untapped trends and market opportunities.
Learn More -
SEO: Reveal Content Gaps
Optimize your strategy for search engines and LLMs.
Case Study -
Qualitative Analysis
Analyze open-ended surveys, interviews, etc.
Case Study
Use Case: Get an overview of any topic or document and discover unique insights
Problem: How can you go beyond generic AI insights?
Current AI tools offer generic summaries and shallow insights. They are designed to provide the most likely responses, not to explore new or overlooked perspectives.
Solution: AI-powered interactive knowledge graph for brainstorming and ideation
InfraNodus will represent any text as a network and use powerful graph analysis algorithms to identify and highlight the most influential keywords, topics, and their relations. You, the human, can work together with the built-in AI to see patterns, topical clusters, and — more importantly — reveal the blind spots between them.
Topical Overview Case Study Try It Now
Use Case: Analyze your market and find untapped opportunities
Problem: The current patchwork of tools focuses on what's already there, not on what's missing
It's possible to track current trends and see what competitors are doing, but the more compelling question is what they haven't done yet—what ideas remain unexplored or untested.
Solution: Use InfraNodus to study what your competitors are talking about and what they are missing.
Using InfraNodus, you can import search results on a specific topic from Google or scientific databases to gain a clearer picture of what's already been done in the field. Then, analyze your competitors' websites and reports for a deeper look into their discourse. Finally, identify the gaps—the ideas everyone's talking about but no one's connecting.
Competitive Intelligence Case Study Try It Now
Use Case: SEO and LLM Content Optimization
Problem: How to make sure your content is shown at the top of search / LLM results?
Everyone uses the same tools and competes for the same keywords. What's often missing is relational insight and a holistic understanding of the context.
Solution: Use InfraNodus to target the content gaps for maximum informational gain.
Visualize what people are searching for and compare it to what they find. Find the keyword relations that they are missing. Target those combinations to create high ranking content.
Analyze the content of search results and target the existing gaps with your content. Use the built-in AI to generate content ideas.
Keyword Research Case Study Try It NowUse Case: Qualitative research and thematic analysis of open-ended responses and customer reviews
Problem: Struggling to understand what your customers truly think?
Open-ended survey responses are difficult to analyze. Basic positive / negative categorizations fall short, and tag clouds often miss the context.
Solution: Uncover patterns in open-ended survey responses using network graphs.
InfraNodus visualizes customer feedback as a word graph, where words used within the same response are interconnected.
This representation will reveal the patterns and context in your customers' responses and reviews, allowing you to easily identify key topics as well as hidden relationships that other tools might miss.
Thematic Analysis Case Study
Try It Out
Obsidian Knowledge Graph Examples: Explore Real Second Brains
See how InfraNodus transforms personal knowledge graphs with AI-powered network science visualization.
We took publicly shared Obsidian, RoamResearch, and LogSeq knowledge graphs and visualized them with InfraNodus. Each example shows how text network analysis reveals connections invisible to standard graph views.
Lorenz Duremdes' Second Brain
Obsidian graph of > 1800 pages, so takes longer to load, source: Github
Link Your Thinking (LYT) Graph
by Nick Milo, > 1200 pages so takes longer to load, source: LinkYouThinking
Start Using InfraNodus
Sign up for an account now, so you can get insight using this tool for your own data and texts.
How To Build a Better Obsidian Knowledge Graph with AI
Obsidian's default graph view shows note connections but lacks analytical depth. InfraNodus provides an AI-enhanced interactive knowledge graph that reveals the structure of your thinking, identifies content gaps, and helps you build a more connected second brain. Here's how it works:
1. Import Your Obsidian Vault or Create a Knowledge Graph
Import your Obsidian vault, Logseq, or RoamResearch markdown files to build a personal knowledge graph with InfraNodus. You can also import PDF documents, Evernote notes, or create a graph from scratch using the built-in editor with [[wiki-links]] support.
InfraNodus generates two layers simultaneously: your explicit backlinks and bi-directional connections, plus an AI-detected semantic network revealing hidden conceptual relationships between your notes.
Every concept becomes a node; every co-occurrence becomes a connection. Pages mentioned together are linked, creating a rich knowledge graph that goes beyond what Zettelkasten or standard graph views offer.
2. Apply Network Science and Text Mining Insights
The network will then be generated from the text or data you added. The most influential nodes (concepts and pages) in the graph have the highest betweenness centrality and are shown bigger on the graph. The nodes (concepts and pages) that occur more often in the same context are aligned into topical clusters and have distinct colors.
Force-atlas algorithm is applied to create a special representation of those topical groups and influential hubs. Graph analytics is provided on every aspect of the graph's structure and individual nodes' properties.
3. Generate AI Insights from Your Knowledge Graph
InfraNodus identifies the structural gaps in your personal knowledge graph: parts of your second brain that could be connected but aren't yet. These gaps represent opportunities for insight and discovery.
The built-in AI proposes different ways to bridge these gaps — generating research questions, facts, and creative ideas based on the specific structure of your knowledge. This makes your Obsidian vault an active thinking partner rather than a passive archive.
Export your enriched notes as markdown files and import them back into Obsidian, Logseq, or RoamResearch. The AI-augmented insights become part of your growing knowledge graph.
Our Methodology in Detail
To learn more about the algorithms used in InfraNodus and for citations, please, refer to this peer-reviewed paper:Paranyushkin, D (2019). InfraNodus: Generating Insight Using Text Network Analysis, Proceedings of WWW'19 The Web Conference, www.infranodus.com (ACM library, PDF).
If you want to know more about the algorithms used, here is the first paper we published on the subject:
Paranyushkin, D (2011). Identifying the pathways for meaning circulation using text network analysis, Nodus Labs. (Google scholar)
Related Knowledge Graph Use Cases
InfraNodus identifies structural gaps in your knowledge graph, revealing what's missing and how to fill it. Beyond personal knowledge management, you can use these capabilities for:
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Mind Map Generation (live text-to-graph visualization)
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AI Research Assistant (generate insight from your notes)
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Obsidian Graph View Plugin (AI-powered graph analysis)
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AI Knowledge Graph API (build knowledge graphs programmatically)
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GraphRAG Knowledge Graph (AI-augmented retrieval)
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Network Analysis (community detection and node ranking)
Become a Supporter!
InfraNodus is organic software and is developed without external funds or investors. We develop and maintain this tool and the associated research based on your contributions only. We believe it is a working model for crowdfunded software made by users for users.
You can support our work if you become a subscriber and get access to the cloud version or if you become our patron on Patreon. Enterpise, government, and educational versions are also available.
Pricing Options: Free 14-Day Trial
Your support is what makes it possible for us to develop this
tool. All quotas are per each text. There is no limitation on the
number of texts you can process every month. Prices do not include
VAT for EU private customers.
Lock in current prices for life and save up to 35% (€100-€200) on
our annual plans.
Advanced Account
saving €204 or 35%
- 14-day free trial
- everything on the Basic +
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Basic Account
saving €84 or 35%
- 14-day free trial
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Premium Account
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About InfraNodus: Our Philosophy
Gregory Bateson coined a beautiful term: "ecology of the mind". What is a mind that is ecological? It has the ability to have an overview, but it can also zoom into any idea. It embraces diversity, but it can also obsess over one thing when needed. It can discover the obvious, but it can also reveal the things that are hidden and ponder the gaps that have not yet been bridged. Rational and poetic.
InfraNodus is a tool that is developed to help you think this way. It is made to promote ecological dynamics and diversity on the cognitive level. InfraNodus visualizes and analyses ideas as a network, revealing the relations and patterns within them, so you can understand the dynamic complexity of how knowledge evolves and explore the nuances of meaning.
We believe that it is especially important today to make this kind of instrument available to everybody. That's why we develop InfraNodus so that it can be accessible to everyone, solely thanks to our users' monthly contributions and based on their feedback. This is not a start-up, in fact, it is more like the project of our lives. We don't have investors or an exit strategy. We are here to stay and to evolve.
We are constantly improving InfraNodus based on our users' feedback. We are also currently developing an API to make this way of thinking available to other applications and to enable the use of InfraNodus insights for machine learning and AI applications.
If you like our cause, please, sign up for an account and give it a try, support us on Patreon, or simply let us know that it resonates, because this is the best way to motivate each other.
Dmitry Paranyushkin, the founder
Cognitive Variability: Panarchic Thinking with InfraNodus
Testimonials
InfraNodus is used by researchers, writers, marketing professionals and corporations. Here's what some of our supporters have to say:
