
ODEN
A visual research platform that stores all your documents
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- @OceanSigh
- Categories
- AIProductivity & Notes
- Target Audience
- UX ResearchersConsultantsNon-Technical Users
- Platforms
- Web
About ODEN
> ODEN (Observational Diagnostic Entry Network) is a browser-based visual research platform built for anyone who's ever had a investigation, deep dive, or complex project spread across a dozen tabs, docs, scans, and notes with no way to see how it all connects. > At its core is an interactive 3D node graph that maps the relationships between your sources, documents, timelines, and the gaps in your research β because sometimes what isn't documented tells you just as much as what is. Every node links directly to the research you've uploaded into the app, so nothing floats in a vacuum. > ODEN was built around one idea: if a story is true, there should be a paper trail. ODEN helps you map what's missing from it. > It works for investigative journalism, historical research, cold cases, OSINT, human trafficking investigations, hoax analysis, legal research, business mapping, travel planning, trading, and more. If it has moving parts and connections that matter, ODEN can hold it. > Human controlled. The AI assists β it doesn't drive. Your data saves locally in your browser, no accounts, no cloud, no third party access to your work. > Free to use.
Product Insights
ODEN is a free, web-based platform that combines document storage with an interactive 3D node graph to visualize relationships across complex research datasets. It prioritizes data privacy by processing information locally in the browser with human-controlled AI assistance.
- Interactive 3D node graph for mapping relationships between sources.
- Local browser-based storage with no account or cloud requirements.
- Completely free to use for all research and investigation types.
- Supports diverse data formats including documents, scans, and notes.
Ideal for: UX Researchers, Consultants, and Non-Technical Users can utilize ODEN to map complex connections and surface missing data gaps in qualitative or quantitative projects.
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Comments (1)
I th8bk this could really help a lot of people! Lmk what you think