Kevin Rose’s Oink Hits The App Store
techcrunch.com
techcrunch.com
This could be a Trojan Horse (whether Kevin knows it or not yet) into big data mining, and personalized recommendations.
Imagine, you have an app that send you customized ads/offers based on your actual real world history.
For instance, if you liked this sushi dish at this restaurant in San Francisco, maybe you will like a similar dish at another restaurant when you are travelling in Texas. That's insanely powerful.
Now they can just say "uh, yeah that was our plan all along!"
"The company has six patents pending and sees itself as "much more of a research company and a data mining company than a photo sharing site.""
http://www.readwriteweb.com/archives/color_ceo_the_tech_just...
If I were living in the US and had an iPhone, I would likely use this. Definitely sounds intriguing.
I'll need to give it a try though first.
Instead this is how oink acts when you first meet-
1. Prompt user for location access 2. Prompt user for push notification access 3. Prompt user with 'builder' description 4. Prompt user with social account username/password requests 5. Prompt user with Join button (permanently affix to bottom left of screen) 6. Prompt user with arbitrarily ranked pizza on out of the box uitableviews
Maybe the pig app could ease into these prompts and start out with a few on-topic questions and flashy UIs. Perhaps a list of telling foods to rank with my fingers followed by a list of spices to sort? Maybe touch/label the part of the food I liked most? It could then add a random oink developer as my friend automatically. After I browse around for a bit it might ask if I want to see random famous person x's most/least favorite food in city y, or switch to my current location (enter prompt 1) because...
Damn it!
I'll be kind and say that I'm unclear on the message here.
4sq: I want to find a nice cafe in London. Let people rate the service, the view, the atmosphere, the newspapers and magazines.
Oink: I want the best English breakfast in London.