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Open Whisper Systems: History, Art & Technology
Open Whisper Systems (OWS) was a software development group that was founded by Moxie Marlinspike in 2013. The group picked up the open source development of TextSecure and RedPhone, and was later responsible for starting the development of the Signal Protocol and the Signal messaging app. In 2018, Signal Messenger was incorporated as an LLC by Moxie…
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Open Whisper Systems topic overview
The analysis highlights History, Art and Technology as prominent areas in the source structure around Open Whisper Systems.
Related topics
71
Source areas
5
Connected nodes
78
Extracted relationships
95
Concept neighborhoods
27
Bridge connections
78
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 · 26 topics
Projects · 16 topics
Reception · 15 topics
Overview · 8 topics
Funding · 6 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.
Location
San Francisco, CA
Abbreviation
OWS
Dissolved
January 10, 2018; 8 years ago (2018-01-10)
Fields
Free and open-source software, Cryptography, Mobile software
Formation
January 21, 2013; 13 years ago (2013-01-21)
Founder
Moxie Marlinspike
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 Open Whisper Systems 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 Open Whisper Systems shows recurring relationship patterns in the source. For example, Open Whisper Systems → Android, Asked, Canadian Journalists, Cryptocat, Edward Snowden, EFF, EFF's Secure Messaging Scorecard, Electronic Frontier Foundation, Former NSA, Free Expression, In November, In October, March, May, October, Reddit AMA, RedPhone, Redphone/TextSecure, Ryerson University, Signal Another extracted example is Open Whisper Systems → AGPLv3, All, An, Android, As, Contact Discovery Service, DH, Double Ratchet, GitHub, GPLv3, It, Over, September, Sesame, Signal, Signal Messenger, Signal Protocol, Signal Server, The, VXEdDSA. Use these groups to spot repeated connection types before inspecting the individual relationships.
Open Whisper Systems
Top relations
related to Reception· 28
Open Whisper Systems → Android, Asked, Canadian Journalists, Cryptocat, Edward Snowden, EFF, EFF's Secure Messaging Scorecard, Electronic Frontier Foundation, Former NSA, Free Expression, In November, In October, March, May, October, Reddit AMA, RedPhone, Redphone/TextSecure, Ryerson University, Signal
related to Projects· 23
Open Whisper Systems → AGPLv3, All, An, Android, As, Contact Discovery Service, DH, Double Ratchet, GitHub, GPLv3, It, Over, September, Sesame, Signal, Signal Messenger, Signal Protocol, Signal Server, The, VXEdDSA
related to 2013–2018: Open Whisper Systems· 14
Open Whisper Systems → Android, In February, January, July, March, Marlinspike, RedPhone, Signal, Signal Protocol, TextSecure, TextSecure Protocol, The, These, Toward
related to Funding· 14
Open Whisper Systems → Between, February, Freedom, In May, Knight Foundation, Moxie Marlinspike, News, Open Technology Fund, Press Foundation, Shuttleworth Foundation, Signal Foundation's, Signal Messenger, Signal Messenger's, The Signal Foundation
Abbreviation· 1
Open Whisper Systems → OWS
Dissolved· 1
Open Whisper Systems → January 10, 2018; 8 years ago (2018-01-10)
Fields· 1
Open Whisper Systems → Free and open-source software, Cryptography, Mobile software
Formation· 1
Open Whisper Systems → January 21, 2013; 13 years ago (2013-01-21)
Founder· 1
Open Whisper Systems → Moxie Marlinspike
Location· 1
Open Whisper Systems → San Francisco, CA
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.
Open Whisper Systems relationships Subject–Predicate–Object triples
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 95 structured relationships around Open Whisper Systems. Examples in this analysis include Open Whisper Systems → Abbreviation → OWS and Open Whisper Systems → Dissolved → January 10, 2018; 8 years ago (2018-01-10). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Open Whisper Systems
Abbreviation
OWS
1.00
infobox
Open Whisper Systems
Dissolved
January 10, 2018; 8 years ago (2018-01-10)
1.00
infobox
Open Whisper Systems
Fields
Free and open-source software, Cryptography, Mobile software
1.00
infobox
Open Whisper Systems
Formation
January 21, 2013; 13 years ago (2013-01-21)
1.00
infobox
Open Whisper Systems
Founder
Moxie Marlinspike
1.00
infobox
Open Whisper Systems
Location
San Francisco, CA
1.00
infobox
Open Whisper Systems
Products
Signal, Signal Protocol
1.00
infobox
Open Whisper Systems
Purpose
Software development
1.00
infobox
Open Whisper Systems
Staff
2–6
1.00
infobox
Open Whisper Systems
Successor
Signal Technology Foundation
1.00
infobox
Open Whisper Systems
Website
whispersystems.org
1.00
infobox
Open Whisper Systems
is a
project rather than a company
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 Open Whisper Systems bring nearby vocabulary together. In this analysis, examples include Open, Whisper and Systems. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Open Whisper Systems
Open
Whisper
Systems
Group
Announced
Protocol
Marlinspike
Development
Signal
Source
Software
End-to-end
open whisper systems
Systems
Whisper
Open
Announced
Group
Protocol
Marlinspike
Development
Signal
Source
Software
Could
open source
Whisper
Systems
License
Gplv3
Group
Announced
Protocol
Marlinspike
Development
Signal
Source
Software
signal protocol
End-to-end
Encryption
Foundation
Protocol
Signal
Messenger
Systems
Textsecure
Whisper
Whatsapp
Android
Source
signal
Foundation
Protocol
Messenger
Textsecure
End-to-end
Systems
Android
Whisper
Ios
Announced
Encrypted
Encryption
signal technology foundation
Technology
Moxie
Foundation
Signal
Messenger
Protocol
Marlinspike
Textsecure
End-to-end
Systems
Android
Whisper
whisper systems
Systems
Whisper
Open
Announced
Group
Marlinspike
Protocol
Could
Development
Whatsapp
Signal
Moxie
free and open-source software
Free
Software
License
Security
Systems
Protocol
Whisper
Technology
Gplv3
Moxie
Instant
Ios
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 Open Whisper Systems, one of the stronger structural bridges in this analysis connects Open Whisper Systems 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.
Min side: 3
Open Whisper Systems — History· splits 52 ⟂ 27Open Whisper Systems — Projects· splits 62 ⟂ 17Open Whisper Systems — Reception· splits 63 ⟂ 16Open Whisper Systems — Overview· splits 70 ⟂ 9Open Whisper Systems — Funding· splits 72 ⟂ 7
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Open Whisper Systems
Nodes79
Edges78
Triples95
Avg. degree1.97
Density0.025316
Components1
Source & methodology
TTTA analyzes the structure around Open Whisper Systems to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
