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bencyoung
searching PlanetScale…
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31.
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by
bencyoung
2y ago
From what I remembe of Undergrad physics this isn't actually possible. According to GR, within an event horizon, space-like pths become "time-like" which effecitvely means the singularity is unavoidably "in the future&qu
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bencyoung
2y ago
Personally I think this is a really cool idea: https://experiments.withgoogle.com/paper-phone . Both mildly mocking and thought provoking at the same time!
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by
bencyoung
2y ago
I once had a financial bin packing problem at a previous company. Rather than going down a dynamic programming route which was highly exponential, we decided to use a combination of monte-carlo simulation and a very basic genetic algorithm
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by
bencyoung
3y ago
The worst memory performance bug I ever saw turned out to be heap fragmentation in a non-GC system. There are memory allocators that solve this like https://github.com/jemalloc/jemalloc/tree/dev but ... they
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by
bencyoung
3y ago
Yep mine too! It's pretty cool that they put this level of detail out there
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by
bencyoung
3y ago
We're a startup that uses dotnet. Develop on Windows and WSL, deploy to Linux containers in K8s. Works fantastically well for us. I think one thing that's very underrated in dotnet is the new analyser functionality. It basically a
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by
bencyoung
3y ago
I think it certainly used to be the case, but I don't see this any more. Having said that dotnet is pretty "batteries included" so you can go a long way without too much third party stuff
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by
bencyoung
3y ago
I've been at tech startups and high tech jobs that both heavily use dotnet so these seem anecdotal at best. If you're in the ecosystem there are huge numbers of jobs out there
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by
bencyoung
3y ago
If anyone's in the UK I can recommend our product Paycada for this ( https://www.paycada.com/ )
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by
bencyoung
5y ago
The main thing Kafka is great at is scaling out via partitions with it's natural stickyness, while maintaining excellent ordering guarantees. This means it's really easy to create a load of reliable in-memory processing where each