sam2426679

I suspect most FAANGS have some kind of RSU vesting acceleration due to death. Amazon accelerates two years of RSUs upon death.

Agreed! Using a beelink as an htpc, and its been phenomenal.

Holding t-bills means you pay neither state nor local taxes, so the net difference is likely larger than 0.75% depending on where you live.

This quote from Kim, in the op, indicates the same:

> “[T]he obedient US colony in the South Pacific just decided to extradite me for what users uploaded to Megaupload, unsolicited, and what copyright holders were able to remove with direct delete access instantly and without question.”

> Not looking into that thing on my tongue in July 2022, when I first noticed it, but that is very specific to me and probably not generalizable... I got a partial glossectomy in Oct. 2022

This one hits close to home. My dentist at the time misdiagnosed tongue cancer as a “reddish lesion, w/ possible tongue biting,” and this was only after I pointed it out to him at the end of a routine appointment. It wasn’t correctly diagnosed until further prodding from me 3 months later. By some estimates, that delay increased my chance of death by 30%, and the cancer has since progressed from stage 2 to stage 4.

I’ve done lots with AWS and really only ever used GCP to configure Google SSO. I was really surprised by how much button clicking is required in GCP vs. AWS. In AWS, you create the root account, provision a service account, and then all AWS resources are managed through terraform. In GCP, you have to verify a domain via CNAME records, etc., in order to create a root account, and then manipulate the organization policy to provision the service account. While you can create the IAP brand within terraform (as long as you use the root account and not the service account), you can only externalize the brand by clicking buttons in GCP. Laughably, there is an open issue/ticket from more than a decade ago requesting a programmatic way to externalize a brand.

Bon voyage, Jake. I follow in your steps from the same diagnosis. Thank you for bravely sharing your experience and helping others in similar predicaments <3

Zipcar charged me for getting a parking ticket. The ticket was given for returning/parking the car in the “only Zipcars can park here” reserved spot on the street. The problem was that Zipcar had not applied the Zipcar sticker to their own car, so it didn’t appear to be a Zipcar to the parking attendant. Yes, tl;dr Zipcar charged me for parking the car in the spot they directed me to return the car to. Chase decided the CSP chargeback in Zipcar’s favor.

TripleByte changed my (professional) life. Around 2019, I was in a bit of a professional lull but knew just enough coding to be dangerous.

I got roped into the TripleByte funnel through a Reddit ad, which eventually culminated in moving out to SF for a YC startup. Several years later, I had a role at FAANG and reached a level of professional $ucce$$ that was orders of magnitude better than where I had been ~4 years prior.

I wish TripleByte was still around. I remember interviewing.io doing a study on whether there was any signal from LinkedIn profiles with “skill badges.” TripleByte was the only badge that had predictive value for ability-to-receive-an-offer, but the flip side was that recruiters negatively associate these badges with profiles of people in early-stage careers, which means that you’re better served by not having any badges on your profile.

> I hope no one who has read our work has to go through a version of what I've been through

I’ve had a partial glossectomy for the same PD-L1 negative cancer and have been reading your posts since before I was metastatic recurrent. I think about you relatively often. (I might have even seen you at UCSF a ~couple months ago, but I didn’t want to awkwardly ask if you were the guy from the internet.)

> I wish it was all ruby

Why do you not wish it was all Python?

You’re partially right that it’s not about memorizing solutions; it’s about committing patterns to memory.

I well doubled my income after using SRS to master leetcode/algo/ds patterns. Implementing SRS was a catalytic moment in my interview prep training that really accelerated the volume of patterns I held in the RAM of my brain.

You can view the cards I made at https://github.com/yfSWn5KP/algo_and_ds

There’s also system design cards at https://github.com/yfSWn5KP/sys_design

IMO there’s a large overlap in the venn diagram of Redditors who are good at churning and Redditors who spreadsheet their way to retirement. For example, the podcast I linked to in another comment is from a guy who is FIRE’d.

Everything I know, I learned from /r/churning. Although it can be pretty intimidating as a newbie; I was a lurker for a ~year before I was comfortable enough to start hitting SUBs.

If you're specifically interested in Japan flights, I recommend checking out this podcast: https://thedailychurnpodcast.com/ep-58-how-to-book-ana-japan...

As far as general advice, many people acquire Chase UR points predominantly for Hyatt and acquire Amex MR predominantly for flights. If you're in 2 player mode then you earn points a lot faster because you can refer each other.

Don't worry, I'm doing that too. Mega backdoor, etc.

Not last minute, booked a year out when they were ~$10k+ per ticket.

It's very possible when you play in 2 player mode and maximize your "pennies per point" redemptions. We're doing the $60k in flights to Japan, hotels for the extended family for 2 weeks (another several $thousand), and then multiple weekend trips throughout the year for a suite in an all-inclusive resort that goes for ~$2.5k per night (roughly another $20k total).

I was also intrigued by that quote and find it rather dubious. Coincidentally today, I and 5 other family members are boarding business class international flights worth ~$60k cash, paid for with signup bonus points. This doesn’t even include the other tens of $thousands of redemptions we’re doing on both this trip and the rest of the year. This is also just side hustle/hobby-that-pays-for-itself “money,” in addition to the (not) “three orders of magnitude” faang income.

This was otherwise an interesting article.

According to an oncologist I spoke with, there are “shedders” and “non-shedders,” i.e. whether a tumor sheds DNA into the bloodstream or not. Apparently I’m a non-shedder :/

When I was first learning about containers, I found the below course to be very helpful, which has a similar didactic trajectory to this article.

https://frontendmasters.com/courses/complete-intro-container...

VBA

Can anyone recommend a good methodology for writing tests against a Playwright scraping project?

I have a relatively sophisticated scraping operation going, but I haven’t found a great way to test methods that are dependent on JavaScript interaction behind a login.

I’ve used Playwright’s har recording to great effect for writing tests that don’t require login, but I’ve found that har recording doesn’t get me there for post-login because the har playback keeps serving the content from pre-login (even though it includes the relevant assets from both pre and post login.)

Ime playwright is selenium plus some, e.g. you can inspect network activity without having a separately configured proxy.

OP addresses this at “We can do a hack that enables you to write the target ID selector in the target attribute itself!”

I’m sure there are exceptions, but ime chemoradiation is often still the most effective treatment, statistically. There’s also no such thing as “risk free” immunotherapy, e.g. it can occasionally result in colitis and other unpleasantries.

Same here; had a Pixel 5a with Google Fi. The 1 year old Pixel randomly died one day, totally bricked. Google phone support requires them calling you (after you request it online), and the browser-based “Fi phone” was unable to receive calls from Google phone support. No other callers had this issue. When I finally got in touch with them via my wife’s phone, they wanted me to drive 1.5 hours outside of SF for a phone diagnostic. I said no thanks and switched to iPhone with AT&T.

There are similar firms, e.g. https://en.m.wikipedia.org/wiki/Muddy_Waters_Research

> Couldn’t you just preprocess the edges and normalize their weights?

In case it’s unclear, the article from OP is effectively doing this:

> The team found it was possible to divide the input graph into clusters of low-diameter subgraphs, and then to progressively rework the weights using a series of price functions to build a restructured graph that could be processed almost completely using Dijkstra's algorithm. This involved the random removal of paths with negative weights that would enable the source graph to be converted into a directed acyclic graph: one with only forward paths and no loops connecting the strongly connected clusters to each other. This form was selected because it opened the door to tools that would allow the use of the fastest algorithm. A later phase then reintroduces the missing negative-weight edges. The small number of these paths can be processed using the Bellman-Ford algorithm with comparatively little impact on runtime.

Probably an unpopular, "grass is always greener" opinion, but this is why leetcode-style interviews can be a good thing at FAANG. Anyone with time and an internet connection can gain experience with data structures and algorithms via leetcode, whereas it's much harder to get hands-on experience with scaling real transactions-per-second on your own. And, as contrived as leetcode is, it does measure something about your ability to grok how code and infra scale against time and space.