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calrueb

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It depends if you are talking about Okta's "Workforce Identity cloud" which is their flagship product under the Okta name and serves businesses needing an IDP to manage their employees. Or if you are looking for "Customer Identity cloud" aka Auth0 alternatives which is primarily for authenticating a businesses end-users/customers.

I’m gonna go to bat for Slack on this one and say the “Later” feature they added recently has completely changed my workflow for the better. It’s so simple, but removes all the cognitive overhead of feeling pressured to deal with specific messages real time, else I forget about them. Now I just throw the message in Later and get back to it when I’m free.

CircleCI Layoffs 4 years ago

With these non-IPO companies doing layoffs is the correct way to read these announcements "we are letting people go to lower expenses because we are not profitable and are actually at risk of running out of money" or is it more "we are letting people go to lower expenses because our investors are asking that we look better on paper because they would like us to have a liquidity exit event (acquisition, private equity, IPO)"?

I suppose my larger question is if a private company is break-even/profitable would the investors/board ever ask management to make these cuts? If so, why?

"While we continue to operate profitably in 2022 and sustain our growth rates ahead of our peers, unfortunately we still need to take more drastic measures for the health of our business and to continue to support and prepare our customers and our stakeholders from what is about to come. "

I find it hard to accept both these statements "we continue to operate profitably" and "we still need to take more drastic measures for the health of our business". Why is the business health in question? The memo doesn't address it. I can only assume they are they projecting growth to go negative next year?

I feel like this article is making a bigger deal out of Palm Court than need be. I have been there; yes, if you do any research at all you know your getting ripped off on food prices. But for a date night of just wandering around the show rooms, and then getting some food it was a good time. SF isn’t dying.

Do you mean for a mid-level engineer with experience, or a college grad like the parent comment? My impression is if you were to try rest-and-vesting as an L3 (junior) SWE at any FAANG firm, you are eventually going to get PIP'ed out. It is very much "up or out" at least to L4 or L5. You may be able to hang around for two years, but then you're going to find yourself back in the job market.

That said if we are talking about mid-level/L5 engineers... then yes, I agree. From a far, it seems very possible to coast for a full 4 year equity grant if you situate yourself correctly, and have a manager that lets it slide.

I thought of this immediately when watching the keynote, but then they mentioned they used GPS technology, and I figured they would be passively monitoring to confirm that for the past X minutes the phone has likely been in a car (non-walking speed + on roads).

Clearly they aren’t doing enough of that if you can trigger this after waiting in line in a roller coaster park. I suspect they may end up geo-fencing known problematic areas as their algorithm doesn’t seem as great as they claim.

Go-To-Market or often referred to as GTM is a common term used within the B2B SAAS space. The term is thrown around quite a bit if you work in that sector. Like others said, it is primarily concerned with all things revenue (obtaining and retaining).

This threat seems to be specifically about sales not meeting quota, and therefore the Google Cloud org not meeting its revenue goals. I suppose one interpretation is that the sales compensation structure is flawed, and not incentivizing sellers to do their best work. If so, sales leadership should be held partly accountable. However, I suspect sales is likely the scapegoat here for deeper issues with the product and how it compares with alternatives.

This isn't true in my experience at least for ad tech. Finger printing has moved from a deterministic process, to probabilistic models and IP plays a meaningful role in that. I believe it is why Apple spent the time building Private Relay for instance.

As many people have pointed out these are for tracking the performance of ad traffic. Savvy, "privacy minded" businesses may listen to this sort of outrage, and pull the pixels off their websites. But you are kidding yourself if you think you aren't being tracked because the frontend JS is all first party.

The same thing can, and is happening server side. Every platform out there now has an event/conversion API [1]. If you are logging in to Uber Eats with a email/phone number you have used elsewhere then you are going to be tracked full-stop.

1. Here is TikTok's for example https://ads.tiktok.com/help/article?aid=10003669

I'm no fan of Amazon, but I did walk through the 4-star shop in Mall of America while Christmas shopping last year, and I liked it. I thought it was a cool space, filled to the brim with various interesting oddities. There was a long line to get in (partially due to COVID reasons), but it seemed very popular.

Going to echo all the other positive comments. This is the most fun variation I have played. On my first try I failed to complete it, then went and did a practice round with some smarter initial word choices and won (barely!)

Perhaps a 15-30 year old thing, but for those people in my B/C/D list (never thought about it that way before), one thing I do is if they are active on Instagram I will send a response to their story if it looks interesting. More casual than a text, but it opens the door to a quick conversation.

This is cool, and the linked Medium article helped me wrap my head around the security of Bitcoin wallets. I have wondered in the past why people mine blocks, but not try to “mine”/hack existing wallets.

It would be cool to add a running counter for “X wallets checked” on the webpage.

Merry Christmas to the entire Hacker News community. I am so grateful for this funny orange site, and the people who gather here.

They are going to "make things right" which sounds like they may refund members that fell for this. Would the 4D chess move be for the hacker to have "stolen" some of their own funds out of a different wallet to make it look like they were a victim? Then they can double dip, and claim the refund as well as walk away with the stolen goods.

I'd be curious to hear from someone that feels strongly about blocking first-party front end tracking. I generally assume that whatever website I am on would have a good sense of what I am up to just based on server side logs. Sure, if I block 1p logging they might not have a down to the second understanding of how long I am impressing on something, but overall I feel the point is moot.

Ask HN: Unplugging 5 years ago

Assuming I could see it coming, and had time to prepare:

1) Take PTO for that week. I would make it very clear to my team I will be completely offline (no checking email, or responding to Slack pings)

2) Give an early warning to family, friends, and significant other.

3) Plan out offline entertainment (books) and activities. If I was traveling I would print out any maps/tickets I need ahead of time

4) Relax and detox from my normally hyper-connected life

Appreciate the insights. It makes sense that this class of metrics have made it into the decision making process, and I am glad it is happening.

The two concerns that come to mind without deeply understanding the problem is that: 1) Measuring a qualitative, nebulous metric like "wellbeing" (which could mean different things for different people) is likely very hard to do right 2) In my experience, things tend to move fast, and experiments often don't run for _that_ long. I would hypothesize that Facebook's negative effects on users is a compounding effect that emerges over the scale of months. Sure, you can leave a small % of users in a holdout group of your experiment, but how often is that getting revisited?

I do like the idea that there are teams out there that are taking it as a goal to positively move these non-engagement metrics. If FB is going to correct course then steps like this are a big part of that.

I like to imagine there are a bunch of Facebook Homefeed engineers out there who ran dozens experiments, tuning this-and-that, and found the ones that boosted revenue, and user engagement by X%. No one thought too deeply at _why_ some experiments were successful. Perhaps it was chalked up as "our new ML model is matching users to content they care about more efficiently". Then they shipped it, and everyone celebrated their success.

My theory is that experiment dashboards, data visualizations, and "metrics" allow employees to almost fully disassociate from their product, and the end users. Engineers at large companies don't need to use, or even be familiar with the products they spend all day building. Yes, leadership and small pockets (researchers) can see the full picture. Everyone else stays willfully in the dark, doesn't look too closely, and clocks out at 5 happy because their dashboards look good.

I can say from experience on the other side that asking random employees of the company for API access on LinkedIn could work. People will inevitably drop a screenshot into Slack, ask who can help with this, and the right people will get tagged to take a look. No promises they actually do anything, but its probably a better shot than cold emails.