Thank you for sharing that perspective; I'm from Eastern Europe and have had many Indian colleagues over the years (both in the EU and working remotely). I always wondered, given the super deep talent pool and many founders originally from India, why we don't see that many Indian companies on the global stage.
I guess Eastern Europe is a bit similar (in the fact that it had a brain drain; although maybe less so since my country joined the EU), but also have a unique challenges, i.e., the EU market is fragmented and the companies need to break into a market by market.
I don't know about their other software, but i'm a (paying) user of komoot. Komoot development has stagnated until bending spoons took over ~1y ago, see the recent https://www.komoot.com/product-updates
maybe it's case by case basis; i'm not an evernote user since the botched rewrite probably 10y ago at this point
i don’t know the devs motivation, but i own airpods and iphone
every few years or so i consider jumping ship to android, but i don’t want to buy another set of headphones for that — projects like this make the migration path easier before fully committing
Makes me sad to read it as an ex-Elastic employee.
AI is used to justify the redundancies, and the company still expects to grow in this fiscal year. In the SEC filling the specifically mention more “head count” in “go-to-market” roles [1].
> a reduction of approximately 7% of our workforce
> Advances in AI, automation, and technology are reshaping how work gets done, and we're changing with them. (…) That's what this reorganization is for: a simpler structure, with fewer layers, less complexity, and less friction.
> The changes we announced today are a sign of confidence in the business, not a retreat from it. We continue to invest in key growth areas and expect total headcount to grow year-over-year this fiscal year [the SEC filling says “ The Company plans to continue hiring in key strategic areas and locations, including continuing to grow headcount in
customer-facing go-to-market functions, and expects total headcount to grow this fiscal year compared to last fiscal year, as it continues to invest in future
growth opportunities”]
You are right, of course, but in most jurisdictions the limit is lower than 25k EUR (e.g. in PL it's 5k PLN ~ 1.2k EUR; I believe in the UK it's even less), and you can trivially look up the capital of any business in the business registry online --> you can decide if you are dealing with a multi-million behemoth or a mom-and-pop shop.
It doesn’t tell anything about the valuation, but I prefer it over Claude Code, and I even stopped using JetBrains IDEs because of it.
Vs Claude Code: I like the option to change the models, as I often prefer ChatGPT or Composer to Opus. I have a slight preference towards TUI, but not so strong to drop the models.
Vs JetBrains. I really love JetBrains but the tab complete just works so well for me.
This is a good write-up and useful content, but edit-wise it could be simplified significantly. Additionally, phrases like "let that sink in" are characteristic of poor LinkedIn content, which is a bit of an irony :)
While I agree with the sentiment, keep in mind that circumstances change over the years. What made sense (and what you've believed in) a few years ago may be different now. This is especially true when it comes to business models.
> You own the code your AI produces. Use your own name to commit AI code so that if something breaks, everyone blames you. This is critical. How well do you need to know the code your AI produces? Well enough that you can answer for its mistakes.
The in-ear HR is interesting. I wonder if Apple can make it accurate, e.g., Sennheiser Momentum are not very accurate[0]:
> Look, I’m not gonna waste your time – this thing is dumpster-fire inaccurate level in almost every realm of heart rate accuracy except for indoor cycling.
Good marketing, but also possibly the start of the conversation on model welfare?
There are a lot of cynical comments here, but I think there are people at Anthropic who believe that at some point their models will develop consciousness and, naturally, they want to explore what that means.
Looks like we were unable to correct them over the last 3k years. What has changes in 2025 that you think we will succeed in correcting that behavior?
Not US based, Central/Eastern Europe: the selection to the teacher profession is negative, due to low salary compared to private sector; this means that the unproductive behaviors are likely going to increase. I'm not saying the AI is the solution here for low teacher salaries, but training is def not the right answer either, and it is a super simplistic argument: "just train them better".
I agree in principle, although specifically with slack this is problematic. With emails, wikis, repos, it's easy to index them, or share them with a search engine or LLM. Slack is a moving target; they have the Slack AI, but if you don't enable it, it's hard to just grab all messages from a channel or a thread (and god forbid, you have a channel with multiple relevant threads). A lot of clicks required.