https://github.com/irelandscape/steemqa
Most development is currently taking place on the develop branch.
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This post is a new status update on the progress of SteemQA, a generic Questions and Answers application for the Steem blockchain.
SteemQA is a Q&A application similar to Quora but without obtrusive ads and banners. SteemQA makes use of the Steem blockchain to store content and reward contributors.
Last week 
While I didn't think about this at the start of the project I now tend to agree with this concern and for this reason I have spent some time trying to think about a better name.
After a fair amount of research on the web and using Whois.net it became clear that trying to come up with an unused name based on a word in the English dictionary was an impossible task.
I don't have a great imagination when it comes to naming new things but after more thinking I came up with the following name:
Quearn.
The name is a composite of question, earn and learn, which I think is well suited to this application.
I went as far as putting quickly the following logo together, though I am by no mean settled on it.
Please let me know what you think about the new name in your comments below.
I'll wait a while longer before renaming the project as someone might come with a better idea.
Let's now review the development work completed since the previous progress update.
The home page is now more featured and displays three question swipers:
The page now feels more complete.
I am still unsure as to how much informational content about the site should be displayed on the home page.
For example, it may be useful to show top news somewhere on this startup page.
In any case, I want to keep this page as tidy as possible however so finding a good balance between informational content and user contributions is important.
Users can now bookmark their favorite questions!
A bookmark button was added to this effect in the question card toolbar and on the question page.
Questions that are currently bookmarked have their bookmark button highlighted. Once highlighted, clicking this button removes the question from the user bookmarks.
Users can access all their bookmarked questions by selecting the "My bookmarks" link in the side drawer panel.
This brings the user to a new page listing a summary of all bookmarks. Each bookmark is shown with its title, main image, text fragment and toolbar.
The user can then access the question page associated with a given bookmark by clicking on its title or main image.
The question card swiper has been improved to dynamically load, using AJAX requests, new questions as the user reaches the end of the swiper.
For this project I use the vue-awesome-swiper component which is packed with features.
The authors of the component have provided significant documentation and examples to make integration of the swiper as easy as possible within a VueJS application.
On the server side, the Config object was updated to make configurable the number of initial questions loaded within a card swiper, as well as the number of additional questions to load upon reaching the last question card.
I've updated the toolbar at the top of several pages so that it would remain fixed while scrolling.
This toolbar displays useful information and provides context to these pages (such as the question title) and I think it helps giving scope to the reader while scrolling.
To achieve this, I have encapsulated the Quasar QToolbar element within a QLayoutHeader as shown in the code fragment below:
<q-page>
<q-layout-header>
<q-toolbar
color="primary"
>
<q-toolbar-title v-if="blog">
{{blog.title}}
<div slot="subtitle">by {{ blog.author }}
...
</div>
</q-toolbar-title>
<q-btn size="lg" to="/" >
<q-icon name="close" outlined>
<q-tooltip>Back</q-tooltip>
</q-icon>
</q-btn>
</q-toolbar>
</q-layout-header>
...
</q-page>
I have now centralized the conversion from Markdown to HTML into a central Vue component and sanitized the output using the xss NodeJS component.
The markdown processing code is as follows:
export function md2html (str, xss) {
let Remarkable = require('remarkable')
let md = new Remarkable('full', {
html: true,
linkify: true
})
return xss.process(md.render(str))
}
Notice that, at this stage, the conversion is still blunt and not configurable.
I feel that the last few days have brought major advancements to the project.
I can now start seeing the milestone in the distance where I will be able to bring to life the first beta release of this new Steem application.
This week I will tackle one of the chunkiest remaining feature - searching.
I will attempt to install the haystack Django module on the backend and integrate it with the Django REST framework and the rest of the server code.
I will then need to start working on the "Search" page in the client user interface.
I strongly believe that proper searching capability is a key feature so it's worth spending a fair amount of time on getting this right.
I would be happy if I can finish this feature by this time next week but that is not guaranteed given the size of the task and my available time.
SteemQA (Quearn?) has a Discord channel and everybody interested in the project is welcome to join our new community!
Invite: https://discord.gg/tm3Muk7
I am looking for enthusiastic coders to join the development effort!
If you would like to help and be part of something big in the Steem blockchain, please join the Discord channel and leave a message in the chat room or DM 
The following technologies are used throughout the project.
Client side:
Server side:
The following list is a summary of the tasks that remain before release of the 0.1 version.