All Materials Are Confidential.
gabber
Overview
Gabber is a Q&A engine that collects answers from mobile devices, question and answer services,
social networks, ...
Meet The Team
Rishi is an entrepreneur with over 9 years of software development experience.
He currently serves as founde...
Problem
 Q&A services have closed communities, which require users to be logged in to ask and answer questions.
 Q&A pla...
Gabber
Gabber is a Q&A platform that gathers answers to questions through various networks (mobile, Q&A, and
social). It e...
Gabber
 Flexible: Users can ask and answer questions from a variety of interfaces. Gabber tabs can be
can be installed on...
Gabber: Sample Question
Gabber: Sample Answer
Technology
Gabber collects answers from mobile devices, question and answer services, social networks, and the
web. Once a...
Technology
Gabber
Application on
Social Networks
Gabber
Application on
Mobile Networks
Gabber Website
Gabber Cloud
Social ...
Market Size
United States
•US internet market expected
to grow to 250M users in 2014
(18% YOY growth)
•US mobile internet ...
Business Model
Gabber is a Q&A community that gathers answers to questions through various networks (mobile, Q&A,
and soci...
Growth Strategy
The Company’s strategy is to leverage existing networks to collect and index real-time Q&A data for
consum...
Competition
Launch MatureGrowth
Company Market Competitive Advantage Q&A Model
gabber Worldwide
(Focus
India/US)
Mobile, U...
Milestones
Q4 - 2010
 Secure financing of $250K.
 Build out development team and hardware infrastructure.
 Create backl...
Milestones
Q3 - 2011
 Integration of new networks for Q&A collection.
 Add support for SMS queries.
 Software developme...
Conclusion
 Disruptive Q&A platform for web and mobile markets.
 Real-time Q&A in the cloud.
 Intelligent data extracti...
Financials
Transaction Type: Convertible Note
Amount: $250K
Targeted Closing: Q4-10
Use of Proceeds: Development and expan...
Thank You
Upcoming SlideShare
Loading in...5
×

Gabber v1.1

317

Published on

0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
317
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
0
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Gabber v1.1

  1. 1. All Materials Are Confidential. gabber
  2. 2. Overview Gabber is a Q&A engine that collects answers from mobile devices, question and answer services, social networks, and the web. Users can ask questions in a variety of different languages and receive answers in real-time. The Gabber engine also stores questions and answers in an intelligent database for future use. The company is currently managed by a team of experienced entrepreneurs and technology experts. The management team has experience delivering solutions for companies such as AEG, Grant Thornton, Goldenvoice, Gorilla Nation Media, Nokia, SEG, and UBS.
  3. 3. Meet The Team Rishi is an entrepreneur with over 9 years of software development experience. He currently serves as founder and lead engineer for Gabber. Prior to Gabber, Rishi founded RKM Group. RKM Group is a software development firm that focuses on taking technology startups to market, with North Social as its most recent success. Rishi’s past resume includes AEG and Gorilla Nation Media. His expertise is in Agile Management and offshore software development. Niraj drives strategy, operations, and business development for Gabber. Prior to Gabber, Niraj co-founded Appregatta Technologies. Appregatta is a technology portal focused on providing outsourced sales and marketing to cloud based technologies. Niraj’s past resume includes technology investment banking for SEG, Grant Thornton, and UBS.
  4. 4. Problem  Q&A services have closed communities, which require users to be logged in to ask and answer questions.  Q&A platforms lack game mechanics (badge levels, rewards to user).  Q&A services fail to leverage existing social and mobile networks for information capture (deeper integration with social and mobile networks means it is easier to capture information from an existing user base).  Q&A services don’t extract intelligent information from indexed question and answer pairs.  Q&A services don’t offer multilingual question and answer support.  Q&A services are geared towards SME’s (Subject Matter Experts) instead of average mobile and web consumers. The current Q&A market is limited to a small subset of users.
  5. 5. Gabber Gabber is a Q&A platform that gathers answers to questions through various networks (mobile, Q&A, and social). It enables an individual to anonymously ask a question and obtain answers in real-time. Gabber will be available as an application on Android OS, Facebook, iOS, OpenSocial, Twitter, the web, and various other networks. The platform will be integrated into existing networks, which will make it convenient for individuals to ask and answer questions.
  6. 6. Gabber  Flexible: Users can ask and answer questions from a variety of interfaces. Gabber tabs can be can be installed on websites. Companies can also run a white-label edition of Gabber for feedback sessions, press releases or any other type of real-time Q&A activity.  Game Mechanics: Users will be rewarded for accurate and useful answers (badge levels and custom pages).  Intelligent: Gabber extracts intelligent information from questions and answer pairs.  Mobile: Mobile devices are supported, which enable emerging markets to utilize the Gabber platform.  Multilingual: Gabber supports multiple languages and stores all question and answer pairs in English.  Open: Users are not required to register in order to ask a question.  Simple: The user experience is greatly simplified. There are no complex account creation processes and all answers are delivered in real-time.  Social: Gabber leverages existing social networks to gather answers to questions. The Gabber platform addresses the following key points:
  7. 7. Gabber: Sample Question
  8. 8. Gabber: Sample Answer
  9. 9. Technology Gabber collects answers from mobile devices, question and answer services, social networks, and the web. Once a question is answered, Gabber indexes the question and answer pair in a document oriented database for future use. An NLP (natural language processing) layer then extracts the object, predicate, and subject of the question and answer pair. This enables Gabber to route future queries intelligently and identify users by their subject matter expertise. All data is stored on a sharded cluster so that Gabber can scale easily.
  10. 10. Technology Gabber Application on Social Networks Gabber Application on Mobile Networks Gabber Website Gabber Cloud Social Networks, Q&A Networks Mobile Networks & Devices Web ask NLP Layer & Q&A Indexes responseresponse push
  11. 11. Market Size United States •US internet market expected to grow to 250M users in 2014 (18% YOY growth) •US mobile internet market expected to grow 82% by 2013 to 134M users. •35% of U.S. adults have cell phones with apps •Ages 18-34 comprise 50% of internet users India •India’s current internet market at 306M users at a 10% growth rate since February •Fastest growing mobile market with 127M mobile internet users •Only 2M current active users •60% of active users are accessing chat, social media, and mobile blogging sites Worldwide •Almost 2B internet users •450M mobile internet users. •Expected to double by 2013 •IDC expects fastest growing mobile applications will be online communities •China largest internet population 370M •Worldwide internet advertising market expected to reach $100B by 2013
  12. 12. Business Model Gabber is a Q&A community that gathers answers to questions through various networks (mobile, Q&A, and social). The community enables users to engage in structured Q&A forums to facilitate discussion and rank responses to improve relevance and identify subject matter experts. Launch MatureGrowth User Acquisition From •Advertising •E-Mail •Viral Marketing •Social Media •Distribution Partners Gather User Information Compile User Analytics Optimized User Includes •Q&A Patterns •Followed Topics •Followed SME •Usage •Social Media connect Based On •Q&A History •Followed Topics/SME •Shared Content •Frequency Monetization •Private Q&A Forums •User Analytics •Targeted Ads •Sponsored Forums
  13. 13. Growth Strategy The Company’s strategy is to leverage existing networks to collect and index real-time Q&A data for consumer use. Gabber will capture data from multiple access points (mobile devices, the web, and social networks). The company will also focus on emerging markets where mobile and web usage rates are on the increase (e.g., China, India). Gabber will encourage brands, celebrities, and educational institutions to participate in private/public Q&A forum with followers by offering a free white label edition of the product. Launch Growth Mature Viral, Sharable website tags, Facebook Likes/shares, Twitter mentions, Blogosphere referrals Direct Email •Targeted email lists •College list serves •Events Distribution partners •Mutual linking sites •Affiliate networks (entertainment, academic) Internet Advertising •Google Adwords •Facebook Ads Search Engine Optimization •Organic search •Optimized page markup Public Relations •Buzz Marketing •Company Blog
  14. 14. Competition Launch MatureGrowth Company Market Competitive Advantage Q&A Model gabber Worldwide (Focus India/US) Mobile, User-specific topics, SME directed forums, Easy/clean UI, strong query (natural language) technology and cloud based infrastructure for quick and efficient updates and deployment User generated questions/answers. Users can achieve SME by earning badges per community voting on submitted answers. Private or public topic specific forums functionality. Also white labeled Q&A forums for major brands. Technology can also retrieve archived responses per relevance. Facebook Questions Worldwide Largest social user base. Questions are submitted through users news feed to friends and responses are displayed in same manner. Yahoo Answers Worldwide 2nd largest database of questions/answers. Submit questions to user community. Answers/users are not categorized. Aardvark (Google) Worldwide Largest potential user base. Could become part of Google Search. (TBD) Acquired by Google for $50M in February, 2010. Allows users to submit questions and receive an answer from topic experts within seconds or minutes. Answers.com US Combines user community responses with editorial database for answers. Largest database of questions/answers. Traditional Social Q&A site. Community answers the questions and poster can edit and collaborate. Quora Worldwide (Focus US) Strong management team, high profile users, elegant UI. Raised $11M at $86M valuation. Submit question to entire community and system will route to subject experts as well as the general users. Can follow topics or users. Stack Overflow Worldwide Niche market. Q&A for developers/programmers. Traditional Q&A and ability to vote on questions and answers up or down and edit questions and answers in a wiki fashion. They employee game mechanics so users can become SME by receiving positive reviews. Formspring US Simple community interaction Questions can be submitted and answered by a single person. Results are viewed by community. Rediff India First mover advantage. Large potential customer base with fastest growing internet market (India). Mobile instant messaging application.
  15. 15. Milestones Q4 - 2010  Secure financing of $250K.  Build out development team and hardware infrastructure.  Create backlog of user stories for product (Agile).  Software development. Q1 - 2011  Release of web application with Facebook, OpenSocial and Twitter support.  Software development.  Product testing (Test Driven Design). Q2 - 2011  Release of Android and iOS version of product.  Integration of Hindi and Chinese language sets.  Software development.  Product testing (Test Driven Design).
  16. 16. Milestones Q3 - 2011  Integration of new networks for Q&A collection.  Add support for SMS queries.  Software development.  Product testing (Test Driven Design). Q4 - 2011  Expansion of language support.  Implementation of NLP layer to extract semantic information.  Software development.  Product testing (Test Driven Design).
  17. 17. Conclusion  Disruptive Q&A platform for web and mobile markets.  Real-time Q&A in the cloud.  Intelligent data extraction of question and answer pairs.  Multilingual support.  Use of existing social networks and Q&A services (leveraging existing infrastructure and ease of adoption).  Cost-effective development model: world class engineers located in Noida, India.  Experienced management team.  Agile software methodologies ensure product reliability and speed to market.
  18. 18. Financials Transaction Type: Convertible Note Amount: $250K Targeted Closing: Q4-10 Use of Proceeds: Development and expansion of Gabber platform.
  19. 19. Thank You

×