Working at a startup can be rewarding, but it often means putting in founder-level effort while the founders capture most of the upside.
514 karma · joined January 2, 2018
You also need an environment conducive to focus. Be sure you’re well rested, have some fresh air, and play some calming music. Taking drugs like stimulants (coffee, tea, etc.) will interfere with this. If you want to sip on something use non-caffeinated teas. I like “yoga” blends, which are the same spices used in chai but without black tea.
We're all guilty of this to some extent. And for many it's an addiction.
I subscribe to newsletters from lobby groups I support, that's about the only "news" I get besides reading HN.
I thought it was threat of being fired and left without means to pay for rent and food?
The ruling class will work you as much as possible – to the point of death – unless stopped via labor co-ordination, mass strikes, and force.
The 40-hour week w/ fair overtime, fair breaks, etc. could be enforced and expanded to include software engineering.
Ha. VoIP is de facto illegal. I tried to ditch phone numbers and tie a VoIP to email. Everyone blocks it. Banks, government, consumer websites…
The whole observably industry is based on a flawed approach that you can add it in after the fact, ship that data somewhere else, then charge an arm and a leg to access it. That breaks down quickly in any non-trivial distributed system. Even when ignoring issues with sampling, it is cost prohibitive.
What “much of that regulation” do you believe does more harm than good?
You can play the game, but ask yourself if that’s the game you want to be playing. I’m wary of people who seem happy to make themselves slaves to money no matter the human cost.
The actual algorithms for predicting price movement were fairly simplistic, most work was around strategies for dealing with overfitting and how to execute the trades. Accuracy was around 51-55% (a bit better than coin toss) so it was a big challenge to actually execute the trades and still make a profit after fees and other nonsense. Finding alpha is what ML is used for but that’s just the first step.
It may seem inconsequential to some, but AT is fundamentally hostile to the web. The goal of AT is to move syndication and content off the web to another network. No. I’m done with that.
I can’t link to a Bluesky post. I can’t use Bluesky from the browser. It’s a silo’d network.
The indie web has the right idea: Use the web, build ontop of blogs, degrade gracefully. We could have central aggregators just like Bluesky crawling the web with microformats.
The polished experience with Bluesky has little to do with the tech and everything to do with financing and talent. Give me millions of dollars in grants and I’m sure I can build a polished UX too.
But that would be a free market that respected human rights, and Americans don't want that! Equality? Freedom? That's just marketing!
“I had to [stay in school]..otherwise I’d get kicked out of the country.” ... “since I already had my undergrad, I could..get an H1-B visa” (not correct, he had no degree in 1995, so he's already on record lying about many aspects of his visa and schooling situation)
"I was legally there, but I was meant to be doing student work," adding to The Post, "I was allowed to do work sort of supporting whatever." You cannot work "supporting whatever" on an F1, exceptions like OPT are restricted to specific programs. Musk has (more than once) admitted to violating the terms of his visa and working illegally.
> Derek Proudian, a board member for the Musks' former internet startup Zip2, which they founded in late 1995, told the Post, "Their immigration status was not what it should be for them to be legally employed running a company in the U.S.," adding, "We don't want our founder being deported."
Musk had no degree in 1995. And it sounds like he was on an F1. If those are both true he was working illegally.
Snopes has a lot more details https://www.snopes.com/fact-check/musk-undocumented-immigran...
This drove me nuts during all the hullabaloo about DOGE. People would confidently state that the Federal government is inefficient – while data showed the opposite! Federal workforce has remained largely the same since 1950, while administering more services, for more people, with a much larger budget. As measured, the government workforce is more productive than ever.
“Sunset” is marketing speak.