Elena Rossini 🌈 (@_elena@mastodon.social)

Attached: 1 image 📝 #WSocial state of the network - Friday July 10th 📣 for those who are curious about it, considering the enthusiastic endorsement by prestigious European institutions #OpenData allows me to crunch numbers. On day 23 since its beta launch in Brussels, W Social has 11291 accounts: - 469 new users since yesterday - 899 users have published one or more posts - 72 new users posting since yesterday - 92% have never* published a single post *may be related to #WIdentity and its 13-step process

Sam Altman on Twitter / X

we will not do anything silly like saying that you cant use our open model if your service has more than 700 million monthly active users.we want everyone to use it!— Sam Altman (@sama) March 31, 2025

My startup failed, and this is what it feels like…

We had users and traction, then we fell off a cliff. My 4 year emotional rollercoaster just came to an end.

One million

What got our start-up to one million users against all odds. Hint: it was curation for the masses.

Here’s a metric that I bet you aren’t using… I want you to check it out, and start using it. It could be a real wake up call about how inactive your users are. I’m talking about the XD28 metric. A… | Moe Ali | 17 comments

Here’s a metric that I bet you aren’t using… I want you to check it out, and start using it. It could be a real wake up call about how inactive your users are. I’m talking about the XD28 metric. A lot of teams have never bothered to collect this data - but you can get started after 28 days. Here’s how the metric works👇 This metric looks at a user and determines how many days they used your product/feature in a 28 day cycle. If your user used your product just once in the last 28 days, they’re identified as 1D28. If they use it 5 days out of 28, they’re categorized as 5D28 and so on… Then you create a bucket with each number of days and how many users used the product for each number of days. For example, 17 users belong in the 5D28 bucket and 500 users belong in the 24D28 bucket. You can use this to create a distribution chart. You should be using these figures to calculate the average AND median number of days that users are using the product in a given 28 day cycle. Ideally you want people to be moving from a lower number of days to a higher number. E.g. If your average number of XD28 is 5 days, you want to aim for 15 days in a year’s time. This is an interesting metric because often you will find users at one extreme of this distribution curve. And it can be a real wake up call for Product Managers. | 17 comments on LinkedIn

Why I switched to Android after 7 years of iOS

Monday of last week I was all excited. I had just gotten the green light to start prototyping a new Progressive Web App for a client I've been working with.

Read the Docs 2016 Stats

Congrats, you made it through 2016! Read the Docs has been rolling along, and we’ve had another interesting year as well. For a quick summary: Our level of contributions and commits has gone down a good bit this year., Our traffic and user growth has been quite steady, which is particularly impre...