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Gergely Orosz Profile picture
@GergelyOrosz
Nov 7, 2021 • 8 tweets • 4 min read • Read on X
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The 2021 Talent .io salary report is out. These reports work with the data they have, and it's clear that high-paying tech companies don't use "Europe's largest tech recruitment platform" at all, resulting in data that is off from reality.

A thread on why these reports are off:
1. Access to data. Looking at the Amsterdam data distribution, Adyen, Booking, Uber etc all don't have their data here. They all pay €90K+ for seniors in *base salary* - we'll talk about the rest. Uber and Booking €110K & above:
2. Total compensation vs salary. These reports focus on salary, but the highest paying companies often pay a lot more than just salary. E.g. at Uber I had years when my stock vesting that year was above my €100K+ salary. My bonus target was €22K as a senior engineer.
3. This report confirms what I have been saying: there are ranges invisible to most recruitment companies and employees on Tier 2, and especially Tier 3 ranges:

Read the full article on the trimodal nature of tech compensation:
blog.pragmaticengineer.com/software-engin…
4. So where do you get better data? You ask around people you know. Go on Blind (the app). Check out levels.fyi. And I'm building techpays.eu that already has over 500 Netherlands/Amsterdam data points.
5. My next newsletter issue will be about how to find your next opportunity as a software engineer/engineering manager, including a list of (within inner circles) known companies that pay towards the top of the market.

Subscribe here: newsletter.pragmaticengineer.com
6. To recap:

These reports are good at showcasing #1 (Tier 1) compensation. They don't tell you *anything* about Tier 2 and Tier 3. Those companies use in-house recruiters and don't recruit through these platforms (or don't share their data at least).

blog.pragmaticengineer.com/software-engin…
And the full survey: …g-pictures.s3-eu-west-1.amazonaws.com/Salary+Report+…

Clearly they put a lot of effort writing the survey: but be very, very, very wary on basing compensation on this. You won’t be competitive even in Tier 1 if you do. Even the Tier 1 market has moved up the past months.

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More from @GergelyOrosz

Gergely Orosz Profile picture
Jul 27
Amusing use of LLMs at a more traditional company:

“A project with ~50 people got stuck. There are too many JIRA tickets, no clear specification, and anytime one team tries to make progress, the others shoot it down.

So a dev built an LLM to try and break the deadlock: (cont’d)
- Fed all JIRA tickets to the LLM. Built a basic RAG with vector DB

- Had it generate questions about the project, about topics not covered by the tickets

- Had the LLM attempt to answer the same questions

- Generated a report of what areas are not specified

- Tried to use this to stop teams rejecting suggestions “because this is not well specified”
A PM at this company told me this story. Asked him if this LLM helped break the deadlock? His response:

“No. We’re still stuck. But it was good fun to build it and an excuse to play around with vector databases!”

Ha.
Read 5 tweets
Gergely Orosz Profile picture
Jul 13
Regarding the Windsurf sale (part of the team acquihired by Google, prob a great exit, but not all the team):

I feel we’re forgetting well-funded startups today are NOT scrappy startups in the past where employees work for pennies, paid well under market.

Its a different game
What is true, and always has been true: founders and decision makers always have the biggest potential upside - for anything! Including negotiating and acquisition.

This is why so many accomplished employees eventually become founders - because its hoe you have more control of your destiny
It still stings to have some people get much better outcomes during an acquisition.

It’s a reminder that as an employee, you really don’t have leverage beyond hoping founders look out for you… sometimes they do, sometimes they don’t
Read 7 tweets
Gergely Orosz Profile picture
Jul 9
There was this engineer on my team a while back who was: a good dev, but not the best dev. Got everything done. But had zero ego, a very nice personality, and got along with *everyone* on the team very well.

When he joined, the team became... better. Nicer. More balanced.
I just got a reference check about this dev, asking the usual questions ("what is an example where they delivered over and beyond," "how did they execute", "what are growth areas" etc)

He did fine on all of them, but I still think how much better he made my team. With stuff that's hard/impossible to measure!
Makes me realize how hiring is not focused on this stuff: "how would this person make the team better."

I guess, it is hard to be focused on this.

But this was one of the *very* rare devs who made every team much better. Nicer. More motivated. More a "team."

Still think of it
Read 7 tweets
Gergely Orosz Profile picture
Jun 30
So predictable that we’ll see an explosion of digital products selling “ideas for million dollar businesses” that you can “just vibe code quickly”.

Basically: “buy my digital product for $500, spend $1,500 on Lovable / Claude Code and become a millionaire.”

Another hype train
Ofc these products promoted by influencers will work just as well as crypto sh*tcoins launched by influencers in 2023.

We’ll see doctored evidence (“someone who built one of ideas idea is at $5K MRR after 2 weeks”) and nontechnical people will spend thousands for $0 in return
The predictable winners: AI infra companies! Lovable, Vercel (with v0), Claude Code, Cursor, Replit, Gemini and any and all products that (at least partially) position themselves as “AI tools to build your idea that work even if you’re not a developer”

And it’s stated. A gold rush where - and the surest winners are those selling the shovels!
Read 6 tweets
Gergely Orosz Profile picture
Jun 28
I generally like Anthropic: but the more they paint a dystopian future where AI “manages” people (“AI middle-managers”) the more I am starting to think they are losing their marbles.

LLMs is a tool humans should use. The tail should not wag the dog; Anthropic should know better
And frankly I’m getting tired of Anthropic being loud about how their AI will lead to mass unemployment, and while claiming to be a responsible lab to develop AI.

If your master plan is to wipe out the labor market for profit: you’re not responsible.

You cannot have both.
I DO feel recently that Anthropic is the single least responsible lab out there.

Thanks to their CEO parroting how their AI will lead to massive job losses: not being concerned the least, and seemingly *wanting* this outcome (even if it’s not realistic).

aimagazine.com/articles/white…Image
Read 7 tweets
Gergely Orosz Profile picture
May 28
Something I hear very little talk about:

How AI coding tools are so much LESS useful when used on existing, large codebases at work (with custom frameworks, conventions, coding style etc)

... compared to doing greenfield work or side projects

So common for me to hear: "yeah I love it on my side projects, but at work it's 'meh'"
I'm getting details talking with devs at the likes of eg Google, Meta, Microsoft: the companies building some of the best AI coding tools out there!

And yet, for their existing codebases, the usefulness is marginal. Mostly for autocomplete (that has a higher miss rate than for greenfield)
And yes, surely there are workarounds. I just don't hear much of these used or successfully used!

Point is almost all success stories I hear are greenfield ones or small projects, or ones started with these tools

Using on larger one a bigger challenge

Read 5 tweets

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