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Nimbuzz: History, Technology & Companies
Nimbuzz is a proprietary cross-platform instant messaging and social media and mobile payment developed by Kuraakani Online Private Limited, with the origins of its technology dating back to the early 2000s. As of March 2013, Nimbuzz had 150 million users in 200 countries. By April 2014, Nimbuzz was growing by more than 210,000 new registrations per day.…
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Nimbuzz topic overview
The analysis highlights History, Technology and Companies as prominent areas in the source structure around Nimbuzz.
Related topics
37
Source areas
3
Connected nodes
40
Extracted relationships
57
Concept neighborhoods
16
Bridge connections
40
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.
Company history and background · 16 topics
Features and functionality · 14 topics
Overview · 7 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.
Available in
English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Hindi, Nepali, Arabic and more.
Developers
Nimbuzz Kuraakani Online Private Limited
Licence
Proprietary
Operating system
Android, iOS.
Release
13 May 2008
Stable release
Android: 7.1.0 (10 March 2019; 7 years ago (2019-03-10)) [±] iOS: 5.11.0 (1 February 2018; 8 years ago (2018-02-01)) [±] BlackBerry OS: 4.0 (10 December 2013; 12 years ago (2013…
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 Nimbuzz 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 Nimbuzz shows recurring relationship patterns in the source. For example, Nimbuzz → Android, Arabic, BlackBerry OS, Cloudphone, Dutch, For, French, German, Group, Hindi, It, Italian, Java ME, Java-based, Mac OS, NimbuzzOut, Portuguese, Russian, SIP, Spanish Another extracted example is Nimbuzz → Adopting, December, Early, HV Holtzbrinck Ventures, In January, In May, January, July, March, MSM, Naspers, New Call, October, Red Herring Global, SkypeMangrove Capital Partners, Voice-over-Internet Protocol, VoIP. Use these groups to spot repeated connection types before inspecting the individual relationships.
Nimbuzz → Adopting, December, Early, HV Holtzbrinck Ventures, In January, In May, January, July, March, MSM, Naspers, New Call, October, Red Herring Global, SkypeMangrove Capital Partners, Voice-over-Internet Protocol, VoIP
Available in· 1
Nimbuzz → English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Hindi, Nepali, Arabic and more.
Nimbuzz → Android: 7.1.0 (10 March 2019; 7 years ago (2019-03-10)) [±] iOS: 5.11.0 (1 February 2018; 8 years ago (2018-02-01)) [±] BlackBerry OS: 4.0 (10 December 2013; 12 years ago (2013…
Type· 1
Nimbuzz → Instant Messaging Client & VoIP
Website· 1
Nimbuzz → www.nimbuzz.com
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.
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 57 structured relationships around Nimbuzz. Examples in this analysis include Nimbuzz → Available in → English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Hindi, Nepali, Arabic and more. and Nimbuzz → Developers → Nimbuzz Kuraakani Online Private Limited. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Nimbuzz
Available in
English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Hindi, Nepali, Arabic and more.
1.00
infobox
Nimbuzz
Developers
Nimbuzz Kuraakani Online Private Limited
1.00
infobox
Nimbuzz
Licence
Proprietary
1.00
infobox
Nimbuzz
Operating system
Android, iOS.
1.00
infobox
Nimbuzz
Release
13 May 2008
1.00
infobox
Nimbuzz
Stable release
Android: 7.1.0 (10 March 2019; 7 years ago (2019-03-10)) [±] iOS: 5.11.0 (1 February 2018; 8 years ago (2018-02-01)) [±] BlackBerry OS: 4.0 (10 December 2013; 12 years ago (2013…
1.00
infobox
Nimbuzz
Type
Instant Messaging Client & VoIP
1.00
infobox
Nimbuzz
Website
www.nimbuzz.com
1.00
infobox
Nimbuzz
is a
proprietary cross-platform instant messaging and social media and mobile payment developed by Kuraakani Online Private Limited
0.90
text
Twitter
instance of
account.Nimbuzz supported interaction with popular messaging services
0.80
text
Facebook Chat
instance of
account.Nimbuzz supported interaction with popular messaging services
0.80
text
Google Talk
instance of
account.Nimbuzz supported interaction with popular messaging services
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 Nimbuzz bring nearby vocabulary together. In this analysis, examples include Instant, Messaging and Users. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Nimbuzz
Instant
Messaging
Users
Social
Games
Million
Mobile
Voip
Chat
Countries
Encrypted
Features
nimbuzz
Instant
Messaging
Users
Social
Games
Million
Mobile
Voip
Chat
Countries
Encrypted
Features
instant messaging
Messaging
Social
Voip
Nimbuzz
Users
Media
Proprietary
Mobile
Company
Early
Encrypted
Kuraakani
social media
Encrypted
Networking
Social
Digital
Games
Early
Kuraakani
Limited
March
Online
Private
Proprietary
company history and background
Voip
Instant
Messaging
E-commerce
Features
Kuraakani
Limited
Online
Private
Proprietary
Technology
Android
social networking
Encrypted
Networking
Social
Digital
Games
E-commerce
Features
One
March
Technology
Chat
Users
digital currency
Social
E-commerce
Encrypted
Features
March
Media
Networking
Games
N-world
One
Voip
Instant
digital wallet
Social
E-commerce
Encrypted
Features
March
Media
Networking
Games
N-world
One
Voip
Instant
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 Nimbuzz, one of the stronger structural bridges in this analysis connects Nimbuzz with Company history and background. 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
Nimbuzz — Company history and background· splits 24 ⟂ 17Nimbuzz — Features and functionality· splits 26 ⟂ 15Nimbuzz — Overview· splits 33 ⟂ 8
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Nimbuzz
Nodes41
Edges40
Triples57
Avg. degree1.95
Density0.04878
Components1
Source & methodology
TTTA analyzes the structure around Nimbuzz to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Technology & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
