stevenzzzzzzz

Many people even working in power/energy don't realize how much interconnection costs are a hinderance. Example: see study group DISIS-2021-001 in SPP (a grid region similar to ERCOT/Texas), a good 25 % of the planned capacity was hit with an interconnection cost approx > $300k/MW (which is similar to the cost of the OP).

Predictably, all of those projects dropped out of the interconnection queue / process

https://www.interconnection.fyi/clusters/spp/disis-2021-001

For folks who are not in tech, check out WARNtracker.com which tracks US layoffs from all companies through mandatory government reporting from the WARN act of 1988, which requires layoffs above a certain size to be reported to state governments.

A good complement for Layoffs.fyi (Sometimes the source of a layoffs.fyi entry will be an article written by a journalist who saw the WARN notice on WARNTracker)

Checkout WARNtracker.com which tracks US layoffs from all companies through mandatory government reporting (for layoffs above a certain size)!

Great summary- we have a more in-depth guide to WARN act and state-level mini-WARN acts here: https://www.warntracker.com/blog/warn-act-guide

A look at the data behind 300,000 government-reported layoffs in 2023.

Isn’t that one Leetcode Hard? (Just looked)

One nit- "Facing many business challenges, large technology companies have laid off more than 386,000 workers nationwide since early 2022, according to layoffs.fyi," -> this nationwide clause is incorrect. Layoffs.fyi aggregates layoff data from tech companies in general, which includes layoffs happening in the US and internationally.

Most of these press releases from companies conducting layoffs aggregated, and the exact US count cannot be determined (example 10,000 laid off from Meta worldwide https://about.fb.com/news/2023/03/mark-zuckerberg-meta-year-... )

The closest thing you can get to US-only layoff count is to look at WARN data (government mandated data). (I run https://www.warntracker.com/, a aggregator website for this government layoff dataset)

If you want a more comprehensive list, here's a list of all the employees anonymized by title that were laid off in California (the only state with google warn filings that publicizes titles in their warn records): https://www.warntracker.com/?company=Google

If you want a more comprehensive list, here's a list of all the titles that were laid off in california (the only state with google warn filings that publicizes titles in their warn records): https://www.warntracker.com/?company=Google

Re: WARN act filings, here's a list of all the titles that were laid off in california (the only state with google warn filings that publicizes titles in their warn records): https://www.warntracker.com/?company=Google

The Forbes Cloud 100 is a ranking of the top private saas companies (Stripe is #1 for example)

While 48% of the Forbes Cloud 100 have had layoffs since 2022, only 1 of the 5 (20%) remote companies on the list have had layoffs.

The 5 remote companies on the list: Vercel - no layoffs (#95 on the Cloud 100) Zapier - no layoffs (#13 on the Cloud 100) Grafana Labs - no layoffs (#37 on the Cloud 100) dbt Labs - no layoffs (#79 on the Cloud 100) Attentive - 15% layoff in Jan 2023 (#10 on the Cloud 100)

Why might this be? Is it possible that remote companies are more robust to the current layoff wave? Is this just the result of a small, non-stat-sig sample size?

Context and analysis here: https://twitter.com/steven_q_zhang/status/163456265069577011...

interesting! just sent you an email - curious to ask a few qs

Thank you! I don't have that data, but it's easily requestable thru the CA EDD website (see my linkedin post https://bit.ly/google-warn-data ). The hard part is cleaning and extracting the levels from the titles which varies considerably by company

Oops. added

Thank you! Renamed it US-PLV (Los Angeles / Playa Vista) as suspect few outside of Socal would know where PV is

Ah good call. Changed. Should US-MFA be grouped under US-MTV or are they separate campuses?

I'm Steven, the OP of this Airtable.cool link. Just a FYI this was originally posted on my Linkedin here: https://www.linkedin.com/feed/update/urn:li:ugcPost:70265782... - check it out if you want to see some charts I created from this data and other discussions. Long-time lurker of HN so pleasantly surprised someone posted the Airtable.cool link here!

[edit] More charts here: https://tabsoft.co/3wNYbMt

I'm Steven, the OP of this Airtable share link (on Linkedin). there's some discussion about this on my linkedin thread, https://www.linkedin.com/feed/update/urn:li:ugcPost:70265782...

https://www.linkedin.com/feed/update/urn:li:ugcPost:70265782...

The gist is that yes, more ICs were laid off, but there are also more ICs overall.

Glad to hear it!

Ah I think that's by design when groups are enabled. Try clearing out the 3 groups (third icon from the left on the toolbar) and then trying again :)

I'm Steven, the poster of this originally https://www.linkedin.com/posts/stevenqzhang_analysis-of-goog... - you have to request records and then EDD will email you CSVs or word doc tables that you can then copy paste into google sheets/Airtable/etc. :) . see the pinned comment on the linkedin post

I'm Steven, the uploader of the Airtable shared view here! I created airtable.cool as a side project for better social media previews and showing view descriptions. Didn't realize when I posted it this morning (on linkedin https://www.linkedin.com/posts/stevenqzhang_analysis-of-goog...) that it would go viral! Anyways, I think I fixed the performance issue that was causing airtable.cool to go down earlier

I created the Airtable base for this! Yeah you have to request records thru https://edd.ca.gov/en/Jobs_and_Training/Layoff_Services_WARN. See https://www.linkedin.com/feed/update/urn:li:ugcPost:70265782...

(steven here) thanks, interesting comparison with stocks! breakoutlist actually helped me pick my last job. somewhat relatedly, I made a breakoutlist for climatetech companies recently: http://climatetechlist.com/ with some friends