datalopers

14 ms·

91.
by datalopers 4y ago
darktable
92.
by datalopers 4y ago
Hiring from the bottom of the barrel is not a winning strategy. There’s a reason most of those people were laid off. There’s some exceptions for sure (50-100% blanket layoffs) but when a company gets rid of 5-20% they make selective decisio
93.
by datalopers 4y ago
So recruiters can contact you? That’s called having a LinkedIn or an email address on github. Recruiters are the ones being laid off the most aggressively anyway.
94.
by datalopers 4y ago
It’s due to astroturfers like this guy [1] here on HN manipulating the narrative with intentional misinformation and HN taking the bait and upvoting like crazy because it sounds intelligent and authoritative. Don’t trust anyone, they’re all
95.
by datalopers 4y ago
What is the daily request volume? This is most likely a waste of time and the "cloud architect", like most cloud proponents, has no fucking clue what they're talking about.
96.
by datalopers 4y ago
CZ triggered it, destroyed FTX, and now gets to be the hero.
97.
by datalopers 4y ago
Lots of entities sell this, right now: * https://www.advanresearch.com/ * https://www.placer.ai/ * https://www.onemata.com/ * https://www.safegraph.com/ It comes from the t
98.
by datalopers 4y ago
I agree it may be a bit more muted in the Bay area, though in dotcom we saw a 10% retraction and great-recession saw a 30% retraction.
99.
by datalopers 4y ago
Take Skyline early one morning and grab breakfast at Alice's. Whole lot of people with loads of money don't want to give that up.
100.
by datalopers 4y ago
Home prices tend to be a function of 30-yr mortgage payments. $1.5m @ 2.50% yielded a ~$6k/mo P&I payment last year $868k @ 7.25% yields a ~$6k/mo P&I payment currently. The price of this theoretical home need to drop ~40%
101.
by datalopers 4y ago
> And there’s plenty of other companies ready to scoop up the talent 1) Tech job openings have fallen by ~50% since a year ago 2) Total comp packages are materially lower, creating a strain on people's ability to pay for their housi
102.
by datalopers 4y ago
> I still have to guess that the impact of the recent large layoffs must be dwarfed by the impact from interest rate changes Two sides of the same coin. It'll be brutal. Bay area home prices will fall by at least 40% from 2021 highs
103.
by datalopers 4y ago
Housing in SF/SV is in trouble. Last week alone we had Twitter (3700), Stripe (1000), Lyft (700), Opendoor (550), and now FB (probably 5000). Obviously not every employee resides in that region but it's a good ~40% of the workforc
104.
by datalopers 4y ago
My most productive days are when I delete code. Do you think they calculated absolute values, or would I be at the bottom with -50,000 LOC?
105.
by datalopers 4y ago
The US government is pouring a lot of money into subsidizing the cost of spinning up fabs. Additionally, China will help western foundries achieve success because they want Taiwan.
106.
by datalopers 4y ago
Yeah, you can find it here [1]. Just click every second result. [1] https://www.google.com/search?q=site%3Awww.linkedin.com%2Fin...
107.
by datalopers 4y ago
Aimbots have been around in FPS games for a very long time, including purely out-of-band approaches (observe video output, send input) as they cannot be detected by anti-cheat software.
108.
by datalopers 4y ago
So much for that $8/mo rollout
109.
by datalopers 4y ago
I like that you only went for 4 minutes, giving yourself ample room to demonstrate continued improvement in the future
110.
by datalopers 4y ago
> get 70% or more correct when guessing who will be laid off. What happens when it's the managers themselves who are useless, overpaid, and can't evaluate the team for actual efficacy?
111.
by datalopers 4y ago
All these companies have vastly overhired. Think of your own peers and colleagues. How many are a) utterly useless or b) competent but don't have anything to do so they spend time working on mostly pointless projects to improve their C
112.
by datalopers 4y ago
A lot of us are busy solving business needs in smaller companies/startups and don't have the time nor expertise to learn every single AWS service and come up with a justification for utilizing it.
113.
by datalopers 4y ago
Twitter employees will get severance and their RSUs paid out at far better rates than any other tech company excluding Apple. They’re doing just fine.
114.
by datalopers 4y ago
Musk and Calacanis literally discussed doing this in the texts that were made public in the lawsuit. Called it a “gentleman’s layoff” [1] https://fortune.com/2022/10/06/elon-musk-jason-calacanis-ret...
115.
by datalopers 4y ago
Home prices will fall materially once people are forced to sell. That won't happen until broad layoffs occur.
116.
by datalopers 4y ago
Correlated subqueries run N times, once for each outer row. Your solution (assuming the database supports predicate pushdown) is far better.
117.
by datalopers 4y ago
Plenty of people write SQL like that. It’s usually Python devs who are overly fascinated with shitty AI.
118.
by datalopers 4y ago
C++ doesn’t require you attend an annual furry convention.
119.
by datalopers 4y ago
> I'd like to avoid spending the next month in sales calls. Just exclude them from your search. They're garbage software anyway.
120.
by datalopers 4y ago
That's tough to debate since you're arguing the unknown. How about this instead. Musk revealed his stake on April 4th and his intent to acquire on April 14th. One could argue the TWTR rally across March was due to Musk buying his

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