One thing that bothers a lot of creators(including me) is, well, what if I post at the wrong time? What if I post and my post will get barely any t...
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Or you could...if you were really silly...just:
I would imagine the results would look something like this if anyone was silly enough to attempt to do it (third table):
inhu.co/dev_to/analyse/timeofday.php
But nobody would be silly enough to do that now would they? 😉
Being serious for a second, I didn't think to break it down by tag...might have to look into that if I ever get around to finishing that project as that is a great idea!
Great post, as you can probably tell I find stuff like this really interesting! ❤🦄
I am about to ask you on another article discussion (that you share the tables link) how did you get the final result 🤣
Thanks!
Could you please share which time zone do you use in this table? Thanks!
It is GMT, hope that helps!
This is a better approach I think, the person didn't knew about the API
Their approach was far more efficient though, I just brute forced it!
The DEV API is not well publicised either to be fair, so it is easy to miss.
Love it!
What on earth do these numbers and colors mean? Did I miss the legend?
No it is for personal use so it is not user friendly!, I just happened to share it in case it was useful for someone. The numbers are reactions / article released at a given time as an average. The colours are just a heat map, dark green is best (and yes the colours are awful!) 🤣
While a very impressive effort, and I love it, I should point out that there is a risk here of the classic confusion between correlation and causation. This confounds forecasting all the time and is a central conversation among forecasters I think.
Why? Well this is a forecasting effort, that is the first observation. Essentially we're hoping to predict that if I post my JavasScript article on Wednesday my chances of reaching people, gaining views and reactions, rises. While not explicitly stated, it's implicitly the goal.
One of the main tools forecasters have is history. But all history can show us quickly and easily is correlated measures. In this case we see a correlation between Wednesday posts and appearing in the top 50.
But for this to form a substantial forecast we need to assume or demonstrated or hypothesise if you will a causative relationship. Is it the case that posting on Wednesday raises the likelihood of that. A true forecasting effort pursues some evidence as to that hypothesis.
One hypothesis is that the editors compiling those lists attend to the job on Thursday as a routine ;-). Confirmation would require a word from DEV editors.
I'm pretty sure the top posts lists are compiled automatically by number of reactions and/or reads.
I guess it might also be that there are a couple of really big creators in a tag like Javascript that just routinely post on a Wednesday and get the attention of their followers no matter what and become top posts.
Still, I doubt that this is the case because from what I've seen, the top 50 posts from a tag are dominated by at least twenty different creators.
As for evidence, of corse, if you make a crappy post but post it on a Wednesday, you still won't get good results. But considering that you've made a proper post for a tag, taking into account that the biggest portion of the top 50 posts in your tag have been posted on a Wednesday, wouldn't that, considering the diversity of the posts and creators in the top 50 list, increase your post's likelihood of performing better than it would have if you had posted say on a Monday?
wow! most common days are Wednesday and Thursday ✌🏼
That's why I posted on a Thursday ;) 👍
awesome 😄 and I can see this as a top post 🤞🏻
It's good. You could get data through api tho:
https://dev.to/search/feed_content?per_page=50&page=1&tag=javascript&sort_by=public_reactions_count&sort_direction=desc&tag_names%5B%5D=javascript&approved=&class_name=Article&published_at%5Bgte%5D=2021-03-03T16%3A05%3A19Z
I've never heard of this API. How did you find it?
Oh I just checked network tab :)
Dev.to have their own api. Just search devto API on google. You can do ton of stuff with it. Great post btw
Love the analysis and great work building the app to gather the data.
Thanks ;)
Awesome! Thanks! :D
Great idea for a project! Also, great work on the project! 👊
Thanks👌
Now I will post only on Wednesday.
Thanks man!
Awesome work creating a solution that outputs an insight!
Interesting. What about the best time of day?
@code_jedi, I am interested in the best time of the day too 🤓
Great idea for a project! Thanks!
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Nice article!
pretty interesting !!
yes i think so too !!!!!
Thanks, Web Scraping is super cool indeed 😎
The best posting day is the day your article is finished and you're satisfied with the quality.
Next step: Use d3.js to plot activity/post distributions across time periods! 1500z? 1800z? 2100z? The dev.to community wants to know!
Might want to change Thuesday to Tuesday.
done.