Software Engineer and jack-of-all-trades, mostly working with machine learning and AWS.
Interested in the trends in tech and working out how we can use them!
Thanks and about the tag, I'm still a little shocked if I'm honest!
Totally get that, most of my posts are around midday UTC (tried mixing this one up just to see), picked in the same way as you, just on gutfeel that aiming for the US would be best, nice to see the heatmaps slightly justified it now!
Love to see some stats but I'm assuming most of the community is US-based?
AFAIK the founders are all still based in the New York timezone. The team has expanded to all parts of the world and are 100% remote.
As far as users go, the data is only as good at what folks are entering in the free text box in their profile settings. Which can be anything they like, and also can be nothing at all. There was a bit of research done 18 months ago that shows this in action:
I found it interesting that when the Big Thread Badge was launched it took seven weeks for a winner to be named from North America. Another one of those gutfeel things with nothing to actually back it up but interesting nonetheless. Ben named it the Big Thread Olympics in several of his posts.
Software Engineer and jack-of-all-trades, mostly working with machine learning and AWS.
Interested in the trends in tech and working out how we can use them!
Thanks for the link, pretty interesting, suggesting the biggest portion are US-based kinda backs up what you were saying!
The Big Thread is interesting, might check if, like you - really cool btw, winners were posting for UTC Midday / EST Morning US? Wouldn't be hard, but might explain why took so long for a US winner if they're proportionally bigger!
Kinda hard to verify, wonder how we could prove it out?
To really prove this out I would want to get my hands on the Dev Google Analytics/Big Query data. It's so much more reliable than people entering whatever they fancy into a free text field.
To add some more complexity to this there is a feature which recommends more active users as 'Devs to follow' when new users sign up. So potentially the Devs who bubble up to the top of the list will have more followers who could interact with their posts.
Software Engineer and jack-of-all-trades, mostly working with machine learning and AWS.
Interested in the trends in tech and working out how we can use them!
Very true, be interesting to find out, that said I've limited exposure to using it, bar short access to my company's GA, I've never really got to take a look at a properly data-rich page!
Ohh I've definitely seen the suggested follow in effect, biggest follower gain I've seen probably came from this, but noticed some users commenting on a lot of their followers are very inactive... longer term I think it would lead to an increase but probably less than that from some of the other factors we mentioned?
There was a discussion in another post about those inactive accounts being potential spam/bot accounts. However, what I've found (more 'gutfeel' stuff) is that the 90:9:1 rule rings true. 90% will lurk and just view, 9% will comment or add reactions some of the time, 1% are active in the comments and posts. I was a lurker with no info in my profile for well over a year before posting anything.
Software Engineer and jack-of-all-trades, mostly working with machine learning and AWS.
Interested in the trends in tech and working out how we can use them!
Very good point - pretty sure I did the same, lurked then moved up to comments/reacts, then posts, be interesting to know what the average conversation rate/time is..?
Could try:
User endpoint -> capture dataset
Use articles data set + Users -> associate posts w/ user
Use 'date_joined' compared to article post dates to work out the conversion
Bonus points: Get comments for each post too -> compare too
Probably deserving of an IP ban at some point through the user capture though I imagine! :D
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Thanks and about the tag, I'm still a little shocked if I'm honest!
Totally get that, most of my posts are around midday UTC (tried mixing this one up just to see), picked in the same way as you, just on gutfeel that aiming for the US would be best, nice to see the heatmaps slightly justified it now!
Love to see some stats but I'm assuming most of the community is US-based?
Shocked about SQL? Hope that's in a good way :)
AFAIK the founders are all still based in the New York timezone. The team has expanded to all parts of the world and are 100% remote.
As far as users go, the data is only as good at what folks are entering in the free text box in their profile settings. Which can be anything they like, and also can be nothing at all. There was a bit of research done 18 months ago that shows this in action:
🌍 Where Are DEV Users Coming From?
Boris Jamot ✊ / ・ Nov 30 '18 ・ 3 min read
I found it interesting that when the Big Thread Badge was launched it took seven weeks for a winner to be named from North America. Another one of those gutfeel things with nothing to actually back it up but interesting nonetheless. Ben named it the Big Thread Olympics in several of his posts.
Welcome to the Big Thread Club, Simon Holdorf. You are the latest winner of the Big Thread Badge. 🎉
Ben Halpern ・ Oct 14 '19 ・ 1 min read
1 - Australia
2 - Nigeria
3 - Romania
4 - New Zealand (that would be me :D)
5 - Rwanda
6 - Germany
7 - USA
8 - Netherlands
9 - Iran
10 - Canada
11 - USA
12 - Germany
13 - India
14 - Germany
15 - USA
16 - Turkey
17 - Germany
Yeah! ... Sure :D
Thanks for the link, pretty interesting, suggesting the biggest portion are US-based kinda backs up what you were saying!
The Big Thread is interesting, might check if, like you - really cool btw, winners were posting for UTC Midday / EST Morning US? Wouldn't be hard, but might explain why took so long for a US winner if they're proportionally bigger!
Kinda hard to verify, wonder how we could prove it out?
To really prove this out I would want to get my hands on the Dev Google Analytics/Big Query data. It's so much more reliable than people entering whatever they fancy into a free text field.
To add some more complexity to this there is a feature which recommends more active users as 'Devs to follow' when new users sign up. So potentially the Devs who bubble up to the top of the list will have more followers who could interact with their posts.
Changelog: Suggested follows on onboarding!
Ben Halpern ・ Mar 27 '18 ・ 2 min read
Very true, be interesting to find out, that said I've limited exposure to using it, bar short access to my company's GA, I've never really got to take a look at a properly data-rich page!
Ohh I've definitely seen the suggested follow in effect, biggest follower gain I've seen probably came from this, but noticed some users commenting on a lot of their followers are very inactive... longer term I think it would lead to an increase but probably less than that from some of the other factors we mentioned?
There was a discussion in another post about those inactive accounts being potential spam/bot accounts. However, what I've found (more 'gutfeel' stuff) is that the 90:9:1 rule rings true. 90% will lurk and just view, 9% will comment or add reactions some of the time, 1% are active in the comments and posts. I was a lurker with no info in my profile for well over a year before posting anything.
Very good point - pretty sure I did the same, lurked then moved up to comments/reacts, then posts, be interesting to know what the average conversation rate/time is..?
Could try:
Probably deserving of an IP ban at some point through the user capture though I imagine! :D