Well if you count every minor service outage which maybe 0.1% of the users are non-critically affected by, you quickly get to 0.6%. So, this doesn't really tell you anything.
New book by Eric Riess (writer of the Lean Startup) came out today. Haven't had the chance to read it yet, but certainly sounds interesting.
Excerpt from the Amazon page:
"In Incorruptible, Ries reveals the hidden forces that cause even great organizations to drift from their values and shows how to design businesses that can withstand that pressure. Drawing on two decades of work with founders, CEOs, and investors around the world, offers the blueprint for “mission-locked” organizations that can grow, prosper, and endure without losing their soul."
Very interesting, but sounds like an extra complication to use binary search on time to find the right position of the sun, when you can just directly calculate this, eg. using the formulas in here: https://gml.noaa.gov/grad/solcalc/solareqns.PDF
I've worked a lot with weather data in the past (and I still am), and I have to appreciate all the work that went into this. Weather model data is notoriously messy with many different formats and standards, and then I'm not even talking about radar data, etc. Probably when you've got this all abstracted away behind an API it is easier to build such a powerful application as this.
Depends on which model. Only really the ECMWF weather model is not fully free. The German, French, Dutch, ... models are all free (regional and global models). Of course, these global models are generally less accurate than ECMWF, still ECMWF has a lot of free data available too. US models are also freely available, and quite easy to work with (as opposed to some European ones).
Wow, looks like a very cool project! Feel free to experiment with the Sunsethue API! Send me an email if you'd need a higher quota to play around with.
For the ones who might be interested, Yr.no uses the ECMWF (European weather model) as their main data source. This model scores the best on benchmarks of the global weather models (available for the whole world), but AI models are catching up on some parameters. Still, there are local weather models available with a much higher resolution (these are regional and only have forecasts up to a couple days). Examples are ICON-D2, Arome, Harmonie for parts of Europe, and HRRR for the US. I'm not sure which apps use these models though.
Some interesting points:
"Removing cross-border bottlenecks through binding timelines to be set by 2027 and the identification of options for higher speeds, including well-above 250 km/h when economically viable."
"A 2026 proposal will aim to improve cross-border rail ticketing and booking systems, making it easier for passengers to plan and purchase seamless cross-border journeys, with better access to passenger rights protection when using multiple operators."
"Removing entry barriers for new high-speed operators. Better coordination of track capacity, fair track access charges, and non-discriminatory access to service facilities will make it easier for new companies to offer high-speed rail services, boosting competition and making high-speed rail more affordable."
My bad, should have indeed used AMOC in the title. Translated the titles of the Flemish and Dutch public broadcasters which used the word "golfstroom" in their titles.
It may take long to significantly weaken, the article also states that effects of a weakening AMOC can occur much sooner than that.
Very cool! Might be interesting to combine this with cloud data or sunset forecast data from Sunsethue to create some sort of sky/sunset simulation. Well done!