Smileyhash services has been deleted

I have deleted the services for Smileyhash. They were hosted on AWS and I received a bill for some services and was unable to delete these services so I deleted the whole account. I am not sure I will bring it back up again and perhaps I will delete Smileyhash all together.

Lessons learned from developing and introducing the Smileyhash app

At http://smileyhash.perandersen.no you can see a React Web app I have developed myself. But no one uses it. However, at least, I know I am able to make a web app.

I have things on my Trello board that I will look into, unless I start chasing other ideas and I have stopped doing development as I uploaded it to the host and posted about it on LinkedIn, I posted it on Reddit and I posted it on my facebook profile and no one has made any tweets with the hash tag.

For me it is hard to know if it was the idea and concept that didn’t seem appealing to people (what is the use for the tweeter anyway? They don’t benefit from rating their tweet mood using my hashtag) or if I just have not been doing enough to gain mass interest. It is not something I would try to make viral through spending on ads, as I would not see any income from it. And working more on making it indexable for search engines is something I have on my list, but I do risk that people never tweet using the tag even if it is indexable for search engines. So it is hard not to move focus over at developing other apps and ideas.

If I was to make some kind of app and/or web service successful, I think it would have to be concerning something people actually need. And those ideas are hard to get. At least now I know that I have the ability of following thorugh and I know I am technically able to make a solution based on an idea. This is great news.

Deploying simple restify node.js application with mongodb backend on AWS and lessons learned

Today and yesterday I have been working on deploying a simple rest api written in node with a Twitter Streaming API connection saving tweets to a mongodb and enabling a search in the tweets with averages on a number in the result json.

First I tried running it on OpenShift on the free service but I couldn’t get it running.

Then I tried setting it up in AWS Linux but it was easier to do in Ubuntu 16.10 following these guides:

https://www.digitalocean.com/community/tutorials/how-to-set-up-a-node-js-application-for-production-on-ubuntu-16-04

https://www.digitalocean.com/community/tutorials/how-to-install-mongodb-on-ubuntu-16-04

I then set up a Security Group in the EC2 control panel of AWS allowing incoming connections to port 8080, which is the port my script is running on.

Still I am unemployed but I hope someone finds interest in my work and soon my Smileyhash application is ready and hopefully some company will be interested.

Working on “Twitter Smileyhash”

I am currently working on a Twitter app I have called Smileyhash. It introduces a new hashtag in the form #smiley(0-10). The way it works is that you can use the hashtag to mark the mood or feeling in you tweet.

For instance, you can tweet:

I think #Trump is the worst president ever #smiley0

Or:

I really love president #Trump he is the best #smiley10

Or maybe:

#Trump doesnt mean anything for me #smiley5

This, in my app, will give opportunities to later search for #Trump and give averages. You can also search for other things and compare. So for a while ago, during the presidential campaign in USA, you could for instance have been comparing Clinton and Trump.

I will release the app soon and post here when it is done. I make the app in React with Redux with a node.js backend using MongoDB as base and utilize the Twitter Streaming API to fetch tweets with the hashtag.

The backend will be hosted on some cloud service, I think either AWS or OpenShift.

At the time of writing I am working on developing the API and stream saver locally but will soon deploy and test on cloud and release the front end probably as a sub domain of perandersen.no. If you have a job offer in the Oslo area, contact me on LinkedIn and I will give you a demo.

For future readers, the Smileyhash Twitter app can be found here