datalopers

darktable

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 decisions.

If you want to hire talent, you poach the people who weren’t laid-off but are now more willing to listen to opportunities today.

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.

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 scum.

[1] https://news.ycombinator.com/item?id=33467429

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.

CZ triggered it, destroyed FTX, and now gets to be the hero.

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 telcos directly (think Sprint phones with custom OS installs), it comes from popular mobile SDKs (e.g. why Yahoo bought Flurry), and it comes from apps who simply sell the data directly.

There is one journalist who actively covers this sort of PII/data-selling world: Joseph Cox at Vice [1]. The only US-based legislator who actively fights against this is Senator Wyden.

[1] https://www.vice.com/en/contributor/joseph-cox

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.

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.

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% to result in the same monthly payment. Home prices won't drop until people are forced to sell and widespread layoffs are just the catalyst necessary.

> 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 housing

> 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 by end of 2024.

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 workforce [edit: of these companies].

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?

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.

Yeah, you can find it here [1]. Just click every second result.

[1] https://www.google.com/search?q=site%3Awww.linkedin.com%2Fin...

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.

So much for that $8/mo rollout

I like that you only went for 4 minutes, giving yourself ample room to demonstrate continued improvement in the future

> 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?

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 CV?

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.

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.

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...

Home prices will fall materially once people are forced to sell. That won't happen until broad layoffs occur.

Correlated subqueries run N times, once for each outer row. Your solution (assuming the database supports predicate pushdown) is far better.

Plenty of people write SQL like that. It’s usually Python devs who are overly fascinated with shitty AI.

C++ doesn’t require you attend an annual furry convention.

> I'd like to avoid spending the next month in sales calls.

Just exclude them from your search. They're garbage software anyway.

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 ~10% stake in the first place but we'll ignore that.

July 1st, 2021 to April 1st, 2022

* TWTR: -42%

* META: -37%

* SNAP: -44%

* PINS: -69%