The author has a background in computer science and a passion for new technology. When the degree was earned, the web was not too popular yet. That opened an opportunity to follow the entire process with huge fascination, and the journey didn’t end yet. Most of the development happens in Python and Django these days, but all other facets are interesting, too.
What if the trauma of living through real conspiracies all around us — conspiracies among wealthy people, their lobbyists, and lawmakers to bury inconvenient facts and evidence of wrongdoing (these conspiracies are commonly known as “corruption”) — is making people vulnerable to conspiracy theories?
From the book
While published as a blog, it is indeed a whole book. Even medium, the blogging platform, says it’s a 109m read. As all of what Cory Doctorow publishes it’s good food for thought and a worthwhile read.
Selber habe ich nur kurz in Berlin gelebt und das ist auch schon in einem anderen Jahrtausend gewesen. Trotzdem hat die Stadt mich mit der Clubkultur schwer beeindruckt. Und der Ruf eilt der Stadt ja nach wie vor voraus. Seit Corona alle Lokale verbietet, die sich zum Superspreader-Event entwickeln können, sieht das alles ein bisschen anders aus. Die Fotografin Christin Mino hat davon ein paar Fotos gemacht, und Vice berichtet darüber. Auch ohne Gäste haben Berliner Clubs einen ganz besonderen Charme. Ich hoffe sehr, dass die Pandemie die Kultur nicht zerstört.
Mit ihrer Arbeit “after dance” möchte die Fotografin Christin Mino auf die problematische Situation der Clubs in der Coronakrise aufmerksam machen.
Since COVID-19 let’s us work from home, we all made our experiences with Videoconferences. The tools make it possible to work from home, yet some still have to get used to the new freedom. We all know the feeling in these conferences, with colleagues listening or not, playing with their pets, kids or Zoom Backgrounds. Toggl, maker of fantastic time tracking software, nails it:
The Y2038 problem is similar to the Y2K problem. We’re exactly in between both about now. Both are 18 years away, in either direction. While Y2K is over and was obvious to everyone, Y2038 is not.
The issue here relates to a representation of date and time in Unix systems, and is therefore sometimes referred to as Unix Y2K. The root is the convention to store date and time information as 32bit unsigned integer in such systems. This means, possible values are limited. Time-differences in seconds, starting from 01.Jan 1970 cannot span beyond 03:14:07 UTC on 19 January 2038.
The Y2038 problem will make all calculations beyond this date impossible, until migrated to another representation. At the time being, this seems far away. However, the problem casts its shadows already. Industries, in particular financial markets, often rely on long term forecasts.
Governance issued treasury bonds come with with the longest maturity. Often twenty years, sometimes thirty years. Calculations for complex, long running financing models easily try to estimate returns 20 years and beyond into the future. This is already beyond the problematic date that Y2038 brings. The code to run these calculations is typically complex and stable. Sometimes, it is as old as from 1970. Back then, this date-representation Unix engineers introduced this approach. 32bit covered a long period. John Femellia has a thread, over at Twitter, telling a story about the upcoming issues today.
British Royal Mail issues computer games stamps writes BoingBoing:
The article features pictures of these stamps. Those who remember the times will find these adorable. The stamps are apparently available as first or second class stamps, at £1.60 or £1.55, and also in collectors sets.
Do I know enough people in the UK to send me postcards with stamps from:
Micro Machines (1991)
Sensible Soccer (1992)
each? Germany, meanwhile, is still debating whether computer games are hazardous and the people involved in the scene should be observed.
Part of the compelling nature of SaaS Products is the possibility to understand the user and improve on the go. Any Product Manager will literally have to understand what are the use-cases for customers and how to focus on the important areas. Just recently our team led the debate which metrics would be the right ones to focus on.
Nancy Wang, Head of Product Management at Amazon Web Services, highlights six product metrics enterprise SaaS companies should track.
In this Article, Nancy Wang, head of Product Management at the most successful cloud service providers, shares her insights on important metrics to keep an eye on. The possibility to understand often goes overboard and requires focus.
The case under discussion in the article revolves around paid products. Derived metrics are a foundation that serves as a blueprint to other products in the SaaS space. Goals differ, but ultimately, to make a product successful, it requires an understanding of how successful customers were, using the product. Following the established funnel pattern, users are being segmented into funnel. Along that funnel, the metrics acquired need to reflect the stage of the journey the user is on.
At the top of the funnel, most often the interaction is anonymous and requires profiling to understand the audience coming in. Further down in the funnel, metrics capture engagement and transaction. Towards the end of the funnel, the metric needs to relate to retention.