malahay
I wrote a short blog post enumerating the set of practices that I believe are durable and necessary while building an agentic AI product. Hope it's useful for you too
Termcolor: A Golang package to detect your terminal color support
Show HN: Visualizing voice communication in league of legends
The subscribers do appear in the chat, I just sat 5 minutes in trick2g's chat and took a screenshot for you: http://imgur.com/MpOJ4CD
Now we can even get more data such as how frequently they subbed. This information wasn't there in november/december. I've also mentioned in the FAQ that there were cases where the chat would freeze or another problem would occur and I would miss some subs. These are lower bounds but I highly doubt it's also as high as you are thinking. The sub train event is an outlier not part of the norm.
* I've set an ad-block rate of 76% for viewers of a stream.
* that's a very good point, and it is not account. It was assumed that everyone gets to see an ad at the same time.
* This was estimated fairly well I think, I used the Riot Games API to figure out when a streamer's game has started. Almost every streamer run a 3 minute ad right before the game starts. So I've found how many viewers there were at that moment and then calculated the ad revenue.
Hope that made it clearer :)
Show HN: Monthly earnings of 23 Twitch streamer
Show HN: NFL Scouting – Visualize how good a college football player is
That's an interesting idea. As a subnetwork, we allow the viewers to click on one of the four triads and it will only display those edges. However, for T3 and T1 there are so many edges that it's still not that easy to follow :)
[1] http://en.wikipedia.org/wiki/Small-world_experiment [2] http://research.microsoft.com/en-us/um/people/horvitz/leskov...
If you want to take a look at the data: https://github.com/efekarakus/potter-network/tree/master/dat...
Show HN: PotterVerse – Visualizing the Harry Potter character network
http://efekarakus.com/potterverse
A visualization of the Harry Potter character network. Exploring whether it exhibits the same properties as a real social network.