Could you give a specific example of what this would do?
It can also give you personalized notifications. In my particular case, I have to wait for my bus to go to college and it usually is quite packed when it arrives, so I go to the depot and take the bus directly from there. Now, this assistant of mine could tell me that the next bus is packed and I should go straight to the depot or I could just wait for 2 minutes and take a seat in the coming bus.
What local markets will be targeted first for data acquisition?
What data sets will be targeted first?
Since, Grid is all about optimizing daily lives, we would target grocery shops, local general stores and weekly markets, initially.
We are relying heavily on the sensors provided with the phones, along with the most important, location data. We believe we could have at least an alpha if we start with these streams of data.
With the data being crowd sourced, what is the strategy for addressing the "chicken and egg" problem inherent when depending on network effects?
Chicken egg problem. My archenemy. Our solution for now, is to rely on our "Extra feature" ie Plugins. Existing startups and businesses can extend their own functionality by making their plugins. For example, there are tons of anti-rape apps on the market but almost zero which work offline. This would convert their users into Grid users. We could also get businesses to create exclusive content or offers in return for our Ad platform/Analytics.
Just in case you are thinking that marketers/businesses will get your personal data and profile, then let me say this again, your data stays on your phone. The app in turn will filter out all the ads based on your preferences.