Some of the Tech Meetups this Month in Sydney

Silicon Beach Drinks

Thursday, September 12, 6:00 PM 

@ Assembly Bar: 488 Kent Street, Sydney

Sydney Mobile Dev Meetup Group

Wednesday, September 25, 2013, 6:00 PM

@ Ambition, level 5, 55 Clarence Street, Sydney

Australia’s Mobile Industry at a Glance


  • In Q1 2013, 65% of mobile subscribers in Australia owned smartphones. That’s about 13.8 million smartphones… That’s quite a contrast to 37% in Q1 2011.
  • It’s expected that the country will have over 90% smartphone penetration in 2015.
  • In 2008, the mobile app development industry was nearly non-existent. It is now locally worth $295 million, spread across 364 vendors.
  • In Q1 2013, 68% of mobile searches were for product information.





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Build meaningful contacts


clowdee-bannerThis past July I was invited to attend a great event hosted by Vivant – The State of Social Media in Australia (youtube vid here). I had a great time and met some interesting people, but after the event, I noticed that people were exchanging contact information in various ways, none of which seemed adequate in this smartphone era. So I decided to build a simple to use application that could help people exchange contact information. It had to be simple and quick. This is where the idea of Clowdee came. This iPhone app uses location services to spot who’s around you and allows you to share your contact info to who you with a single tap. Similarly to what you would do with a business card, Clowdee allows you to choose who you send your info to. It’s as simple as that. Give it a try, get it on the app store.




Easy mobile shopping with Speech Recognition


Lately I’ve been doing quite a bit of mobile app dev that integrates advanced speech recognition. Everyone has heard of Siri and the likes, but not everyone is yet familiar with the integration of speech recognition within custom mobile apps. Doing so allows you to build advanced features that generic dictation just doesn’t provide. Here’s a short demo of how mobile shopping could be improved using speech. This demo application uses the GotYa API – an experimental natural language understanding web service i’ve been recently working on outside of work – to provide the interpretation of complex speech queries in a structure suitable for integration in mobile apps.


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