vgill

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vgill

@vgill

Build No Temples

Katılım Eylül 2007
493 Takip Edilen1.4K Takipçiler
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vgill
vgill@vgill·
I'm calling this Berenson's Law: When you ship a new product or service, major release, or even a major feature, your people resources for new feature development is permanently cut in half. hal2020.com/2018/09/21/the… A most insightful answer to why things slow down CC:@halberenson
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vgill
vgill@vgill·
@bifrosty2k @SFYD @D4GordonMar have you thought about logging off twitter, my entire feed every time I check is you being outraged at something or the other. is there literally nothing else for you to do?
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San Francisco Young Democrats
San Francisco Young Democrats@SFYD·
San Francisco Young Democrats showing up loud and proud for endorses candidate @d4gordonmar today! Supervisor Mar has been an effective leader for the Sunset and communities across San Francisco
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vgill retweetledi
Rapid
Rapid@Rapid_API·
Excited to launch one DevTool for API Developers! 📣 RapidAPI Studio 📣 Superb developer experience of your entire API development lifecycle in one DevTool. ❯ Design & Develop APIs ❯ Test & Monitor APIs ❯ Publish APIs ❯ Monetize APIs ❯ more… 🔗 RapidAPI.com/studio
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vgill
vgill@vgill·
@bifrosty2k what percentage would have seen this a decade ago (normalized for pop growth)?
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Dr. Bifrost 漂白恶魔
Dr. Bifrost 漂白恶魔@bifrosty2k·
@vgill I think we had a variety of issues that were likely exacerbated by the lockdown. Being an American teenager is a pretty unique problem to begin with. Suicide rates for kids went up. What I’m saying is that IF there is a correlation, not good.
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Dr. Bifrost 漂白恶魔
Dr. Bifrost 漂白恶魔@bifrosty2k·
If there is a real correlation for this, we’re in for a world of hurt.
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vgill
vgill@vgill·
“We believe the top five distinguishing characteristics of great engineers are writing good code, adjusting behaviors to account for future value and costs, practicing informed decision-making, avoiding making others jobs harder, and learning continuously” - Li and Ko et al.
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vgill
vgill@vgill·
Let's reconcile the Bar Raiser program. The goal is "Every person hired should be better than 50 percent of those currently in similar roles". With 6% of people on PIPs every year, we can assume they fall predominantly on the old cohort. Do they? Is the BR working?
Gergely Orosz@GergelyOrosz

Mainstream media is acting like this attitude is new from FANG. It’s not. Amazon puts ~6% of people on PIPs every year as a quota. Netflix has the “keeper test” and just laid off some engineers. Google did the same as FB a few months ago (more bonuses, higher expectations)…

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vgill
vgill@vgill·
This ins't happening - take a look at the duplicate chat apps from Google, the re-invention of the data wheel at Netflix, and I have no idea what Meta is even doing with that much r&d. Instead of engineers, who is firing the executives who are greenlighting so many bad products?
Gergely Orosz@GergelyOrosz

Mainstream media is acting like this attitude is new from FANG. It’s not. Amazon puts ~6% of people on PIPs every year as a quota. Netflix has the “keeper test” and just laid off some engineers. Google did the same as FB a few months ago (more bonuses, higher expectations)…

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vgill
vgill@vgill·
vgill tweet media
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simnett
simnett@simnett·
@vgill what does a comms provider do?
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vgill
vgill@vgill·
there are actually only three business models 1. sell reach (ads are a vehicle, what you are selling is _reach_) 2. facilitate and take a cut of transactions 3. build and sell IP
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vgill
vgill@vgill·
@GergelyOrosz @doist Citation needed on google attrition - regretted R&D attrition was insanely low when I had access to the numbers. The exact numbers are probably confidential.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
One thing that does not sit well with me in the @doist article is this claim: "Meanwhile companies like Google and Amazon struggle to keep employees for barely a year.". This is plain false for software engineers. Avg tenure is much longer. The article does not back this at all.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
Incredible how certain remote-first companies with strong company cultures have very low attrition. At @doist an average of 1.5% of people leave per year (!!). This is ~6% at @buffer and @zapier, ~10% at @BuySellAds. Big Tech usually plans for 10-15% in good years.
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vgill
vgill@vgill·
1. sell reach 2. facilitate transactions and take a cut 3. build and sell IP thats it.
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vgill
vgill@vgill·
@GergelyOrosz @GruffRuff3 I was the head of eng of Databricks when we grew AMS DB by 10x. The talent there was just as good. We had 1 bar at databricks and anyone who was employed there had met that bar. This is a stupid take. Databricks has probably the best talent density of any startup.
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
@GruffRuff3 If I were you I'd remove this tweet. It's untrue to say Europe doesn't have the engineering talent (or to say that any region doesn't have eng talent). One single data point: Databricks. More than half of their eng org in Amsterdam. Doesn't have the eng talent??
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Gergely Orosz
Gergely Orosz@GergelyOrosz·
With layoffs happening in tech, a common question is: "Would strong employee protections make layoffs harder to do?" Excellent question: they would. It's exactly why you see little to no Big Tech presence in eg France, and very few "risky" high-growth companies hiring there.
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@bifrosty2k @SFYD @D4GordonMar @d4gordonmar @Rapid_API @simnett @randomfrequency @elonmusk