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Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•3m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
1•o8vm•5m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•6m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•19m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•22m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
1•helloplanets•24m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•32m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•34m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•35m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•35m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
1•basilikum•38m ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•39m ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•43m ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•45m ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•45m ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•46m ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•48m ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•51m ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•53m ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•59m ago•0 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
1•lifeisstillgood•1h ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
1•bundie•1h ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•1h ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•1h ago•0 comments

System time, clocks, and their syncing in macOS

https://eclecticlight.co/2025/05/21/system-time-clocks-and-their-syncing-in-macos/
1•fanf2•1h ago•0 comments

McCLIM and 7GUIs – Part 1: The Counter

https://turtleware.eu/posts/McCLIM-and-7GUIs---Part-1-The-Counter.html
2•ramenbytes•1h ago•0 comments

So whats the next word, then? Almost-no-math intro to transformer models

https://matthias-kainer.de/blog/posts/so-whats-the-next-word-then-/
1•oesimania•1h ago•0 comments
Open in hackernews

Why 'The Global Market' Is an Irresponsible Phrase

https://oswarld.com/eng/insight/251117_Why-the-global-market-Is-an-Irresponsible-Phrase
15•haebom•1mo ago

Comments

yunohn•1mo ago
This article is so heavily edited by ChatGPT that every single sentence exhibits AI slop smells. It’s so hard to read anything these days without being put off by the repetitive robotic style of AI.
oswarld•1mo ago
Author here. Fair enough — though for the record, if I were going to offend anyone with AI prose, I’d at least be consistent and say I used Gemini, not ChatGPT.

Jokes aside, I get the fatigue. The post wasn’t trying to win on voice, just to surface a pattern I’ve seen repeatedly in expansion decisions. Totally fine if the style alone is a dealbreaker.

yunohn•1mo ago
Is there a (non-ironic) reason you used AI for this reply as well?
oswarld•1mo ago
What specifically made it read as AI-written to you?

I’m not asking to dispute the reaction. I’m trying to understand which parts trigger that response now: repetition, structure, tone, or something else. There’s a lot of ambient fatigue around AI-generated text, and I think it’s bleeding into how we read almost everything.

If there’s a concrete signal you noticed, I’d honestly find that useful feedback.

yunohn•1mo ago
Look I don't know what to tell you, but your repeated attempts to launder AI responses as not AI is incredibly off-putting. Anyways, you do you!
mschuster91•1mo ago
> Teams that start with translation almost always share the same failure pattern: They change the language, without changing the choice.

Obligatory reminder to the utter failure of Walmart to enter the German market a few decades ago [1]: no respect for local labor laws was one thing (most of the competition openly sharted on it just as well), but what really did them in was the greeters, the forced smiles and the chants. Germans don't want to be coddled like Americans, Germans don't want to be treated like a religious cult at work, and the failure of Walmart to see this lost them over a billion dollars.

[1] https://medium.com/the-global-millennial/why-walmart-failed-...

port3000•1mo ago
True. Interesting as well that Aldi Sud did the complete opposite when they entered the US with Trader Joe's - completely adapting the brand to the local market.
KellyCriterion•1mo ago
...Id say that Aldi watched the market failure of Walmart in Gemany very closely and learnt massivly from that? :-)
magicalhippo•1mo ago
I really don't get why large corporations seemingly don't do more homework when trying to get into a new market. Especially if they buy a successful company to do so, without doing any work figuring out why they're successful, nor rocking the boat.

I worked at one of the largest IT companies here in Norway when it got sold to some international corporation. They drove it into the ground in less than 6 months, selling the tattered remains for scraps to our largest competitor.

In my current job I've seen it multiple times with our competitors, where they're just a shadow of themselves after getting acquired by a large multinational.

Good for us of course, we're now dominating our niche.

mschuster91•1mo ago
> I worked at one of the largest IT companies here in Norway when it got sold to some international corporation. They drove it into the ground in less than 6 months, selling the tattered remains for scraps to our largest competitor.

That's intentional, corporate raiding (or by its legal name, leveraged buyouts and similar strategies). Load the purchased company up with debt to finance its own acquisition, take everything that's valuable (e.g. a specific contract, IP, "rockstar" employees - aka acquihire), sell off the husk to the highest bidder or send it off to bankruptcy. All you need is someone braindead (or desperate) enough to lend you money.

When all you're looking at is one single thing of (relatively) stellar value, you don't need to invest in the rest.

magicalhippo•1mo ago
> That's intentional, corporate raiding (or by its legal name, leveraged buyouts and similar strategies).

But that's not what they did as far as I know. They just implemented some braindead policies that caused income to grind to a halt overnight, because those policies worked so well in the other countries ther were in.

The good employees jumped ship early. I had a limited contract which didn't get renewed due to hiring freeze.

oswarld•1mo ago
Author here. This is a really good thread, and the Walmart Germany example is exactly the failure pattern I had in mind.

What went wrong there wasn’t a lack of effort or even a lack of localization budget. It was that the core choices never changed. Language, signage, and surface behavior were adapted, but the underlying assumptions about how work, trust, and retail interaction should function were treated as universal.

That’s why “translation-first” expansion fails so consistently. It preserves the original offer and operating model and only swaps the interface. But markets don’t reject foreignness in general; they reject mismatched constraints. In Germany, Walmart didn’t fail because it was American. It failed because it tried to export a specific social and organizational contract that simply didn’t survive contact with local norms.

The Aldi / Trader Joe’s contrast is also telling. That wasn’t just better localization. It was a deliberate decision to let the local market define what should remain and what should be abandoned, even if that meant the brand looked very different from its origin.

This is the distinction I was trying to surface: changing language is cheap. Changing choices is expensive. Most expansion failures happen because teams do the former and avoid the latter.

groundzeros2015•1mo ago
Markets are largely defined by legal system, not that the culture of individuals within the jurisdiction are homogenous, but the way business is done.
mohsen1•1mo ago
It’s strange that the article says the white collar worker in nyc and small business owner in suburban Texas are not the same market. To many businesses they are in the same market. McDonald’s Home Depot etc they don’t make different products for those two individuals
bluGill•1mo ago
home depot doesn't have lucatations in Mahattan - I don't even need to check that made up fact to believe it. The market in manhattan cannot support home depot as it opperates in the Texas suburb. Even if they do happen to have a store there it would have to be different.
mohsen1•1mo ago
Maybe check the fact because I've gone to Home Depot in Manhattan before myself
oswarld•1mo ago
Author here. I think this thread is mixing two very different kinds of markets, so let me clarify the scope of the argument.

I agree with the point that markets are often defined by legal and operational systems — how contracts work, how labor is regulated, how payments and compliance function. That’s exactly why country or jurisdiction boundaries sometimes matter a lot.

Where I think we’re talking past each other is the Home Depot / McDonald’s examples.

Those are low-involvement, highly standardized, commodity-style businesses. Their products, pricing logic, and purchasing situations are intentionally broad. In that world, a white-collar worker in NYC and a small business owner in suburban Texas can absolutely be treated as “the same market” for many decisions, because the offer is designed to ignore sharp differences.

The article isn’t arguing against that. It’s explicitly about sharper products — especially startups, B2B tools, workflow software, education, compliance-heavy or behavior-changing products — where the purchasing situation narrows quickly.

In those cases, what matters isn’t whether two people can physically buy the same thing, but whether the same offer survives the same constraints and produces the same outcome. Authority to buy, risk tolerance, institutional expectations, and default alternatives diverge much faster there, even within the same legal system.

So yes, commodity retail is a valid counterexample — but it’s also a special case. The failure pattern the article is pointing at shows up when teams implicitly assume their product behaves like a Big Mac or a box of nails, when in reality it behaves more like a change in how work, learning, or decision-making happens.

That mismatch is where “same country = same market” becomes dangerous

gostsamo•1mo ago
Some case studies would've been interesting. The rest is marketing copy to justify why they should be hired.
oswarld•1mo ago
Author here. That’s a fair critique.

You’re right that concrete case studies would be more interesting if the goal were to teach tactics or prove a specific playbook. This piece wasn’t written to do that. It’s intentionally a framing piece, not a case study collection.

The reason I avoided named cases is that the failure pattern itself is remarkably consistent across industries and regions. Once you anchor on a specific company or outcome, the discussion tends to drift toward “what they did wrong” rather than the earlier decision failure the post is trying to surface: using country names as a substitute for market definition.

As for the consulting angle — I get the skepticism. The intent here wasn’t “hire us because we’re smart,” but “here’s the exact reasoning error we see before expensive expansion failures.” If that error is already obvious or already handled well in your work, then the post won’t add much value.

Case studies are useful once the frame is agreed on. This was written for the moment before that, when teams still believe they’re aligned because they’ve named a geography.

blitzar•1mo ago
I wrote something then realised I was writing a critique on SEO blogpost slop from a consultant for a consultancy. 3/10 - would not do again.
oswarld•1mo ago
Author here. That reaction is fair, and I won’t argue taste.

This wasn’t written as an SEO play or a lead-gen piece, and it’s not meant to be a comprehensive framework. It’s closer to a framing memo I’ve used internally with teams that were about to say “we’re going global” without having made the decisions that phrase quietly skips over.

If you already operate at a level where “global” is never confused with a market, then the post won’t offer much. Where it tends to resonate is with teams who say they know this, but still let country names substitute for concrete choices in planning and execution.

Totally fine if it didn’t land for you — appreciate you reading it seriously enough to react.

cthalupa•1mo ago
This article could be summed up in one sentence as "Markets are more complicated than a country so saying you are targeting a country or continent as a market is too high level to convey an actionable plan."

Which, yeah, sure, but did anyone ever think there was such thing as a "every person in America" or "every person in Korea" market for anything but the most universal of basic necessities?

I'm not sure what I was expecting when I clicked this link, but what I ended up reading appears to just be AI blogspam.

oswarld•1mo ago
Author here. That’s a fair reaction, and I agree with part of it.

You’re right that almost no one literally believes “every person in America” is their market. My point isn’t about what people consciously believe, but about how decisions actually get made once a country label enters the discussion.

In practice, phrases like “the U.S. market” or “the Asian market” often function as decision placeholders. They signal progress, but they also delay the harder choices that determine whether an entry works at all: who specifically buys, under what constraints, through which channel, and what is explicitly excluded.

That’s why the argument can sound obvious in hindsight. Before launch, the country label compresses complexity. After failure, teams acknowledge the fragmentation retroactively.

This critique also applies unevenly. For low-involvement, highly standardized goods (mass retail, commodity hardware), broad assumptions can hold longer. The article is aimed much more at B2B and constraint-heavy products where purchasing situations narrow quickly and vary dramatically even within the same country.

So yes, your one-sentence summary isn’t wrong. The issue is that many teams act at that level while believing they’re being more precise. That gap between intent and execution is what the post is calling out.

danielscrubs•1mo ago
Kind of resonate with my experience, I built an app that only seemed to sell in San Francisco and some European capitals.

Before release, I thought it would simply be correlated with population density, but I was very very wrong.

It was an educational app, not related to IT…

oswarld•1mo ago
Author here — this is a great example of exactly what I was trying to get at.

What’s interesting in cases like yours is that population density looks like the obvious explanatory variable before launch, but after the fact it turns out to be a proxy for something else entirely: institutional density, learning culture, distribution norms, or even how people discover and legitimize educational products.

San Francisco and certain European capitals often share very specific conditions: higher tolerance for self-directed learning, stronger peer signaling around education, and shorter distance between “interest” and “action.” None of that shows up if you frame the market as “the U.S.” or “Europe,” even though it decisively shapes outcomes.

This is why I argue that markets are defined by purchasing situations, not demographics or geography. You didn’t find a cultural preference so much as a repeatable context where the same offer could travel through similar constraints and still work.

Your experience is a good illustration of how misleading country-level reasoning can be, even for products that seem universal on the surface.