Business App: Whips - Share, rate, buy & sell cars

General (non-technical) New Apps / Works in Progress
#1

I have been evolving an old application which allowed users to rate other users cars.

The new version uses an instagram style interface to bring a more modern and simpler to use experience.

The app uses a remote MYSQL server, php scripts and rest services to store images and information on cars online and retrieve them into the app.  Users can search by make or model, sort by distance, newest or top rated and share cars using twitter, Facebook, text or email.  I have also added the ability for users to list their car for sale when uploading.

fingers crossed the new app will be more popular than the previous version, which in all honesty is a bit clunky.

It’s still a few weeks off being finished,  but its slowly getting there in my spare time.

#2

Very nice!!! Great work. 

#3

Very nice!!! Great work. 

#4

The new app is now out for iPhone and iPad, you can download it from http://goo.gl/ks06dq

If it proves popular enough I will release an android version.

Cheers

#5

The app looks great. Congratulations on the release!

#6

Thanks. It’s the 3rd iteration of the app, but it’s by far the best yet.

#7

hei do u mind to share how you implement the search function in your app i have search many forums but it end up dead but your app has the function by the your app is very cool will be happy if u will share it

#8

Hi,

I use a network request command to send the search information to a php file on my website, it then searches a MySQL database on my website and returns the results as a Json encoded array. The app then cycles through the array and adds a row to a temporary SQLite database before sorting it into the correct order and adding each row into the onscreen table. You need to start by having a MySQL database on a server and creating a php file which will run the script to access the data.

#9

thanks bro u are really a life saver and how about the like and dislike feature you also use the php and mysql feature to get the data?

#10

<gazjm>: Congrats on the release!

<hoochongyj95>: For a Corona-built business app, I’ve implemented search in a similar way to the above: search request to the cloud, JSON response, downloaded to a JSON file (so future requests can be served from cache if file is < X min old), rendered onscreen.

#11

Thanks. I never thought of having a time limited cache. I might include that in an update.

Yes, the likes are also stored in the MySQL database, I have two columns, votes and like. If someone likes it I add one to both columns. If someone dislikes it I just add one to the votes column. Then calculate the percentage from those. There’s probably better ways than how I have done it as I’m not a pro programmer, so my MySQL code is probably not efficient, but it seems to work.

#12

thanks so much

#13

The new app is now out for iPhone and iPad, you can download it from http://goo.gl/ks06dq

If it proves popular enough I will release an android version.

Cheers

#14

The app looks great. Congratulations on the release!

#15

Thanks. It’s the 3rd iteration of the app, but it’s by far the best yet.

#16

hei do u mind to share how you implement the search function in your app i have search many forums but it end up dead but your app has the function by the your app is very cool will be happy if u will share it

#17

Hi,

I use a network request command to send the search information to a php file on my website, it then searches a MySQL database on my website and returns the results as a Json encoded array. The app then cycles through the array and adds a row to a temporary SQLite database before sorting it into the correct order and adding each row into the onscreen table. You need to start by having a MySQL database on a server and creating a php file which will run the script to access the data.

#18

thanks bro u are really a life saver and how about the like and dislike feature you also use the php and mysql feature to get the data?

#19

<gazjm>: Congrats on the release!

<hoochongyj95>: For a Corona-built business app, I’ve implemented search in a similar way to the above: search request to the cloud, JSON response, downloaded to a JSON file (so future requests can be served from cache if file is < X min old), rendered onscreen.

#20

Thanks. I never thought of having a time limited cache. I might include that in an update.

Yes, the likes are also stored in the MySQL database, I have two columns, votes and like. If someone likes it I add one to both columns. If someone dislikes it I just add one to the votes column. Then calculate the percentage from those. There’s probably better ways than how I have done it as I’m not a pro programmer, so my MySQL code is probably not efficient, but it seems to work.