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Show HN: I put employees inside S&P 500 market-cap bubbles

https://bigwhalehunting.com/workforce/
65•vfxGer•1h ago•16 comments

fheroes2: A recreation of Heroes of Might and Magic II game engine

https://github.com/ihhub/fheroes2
125•tosh•5h ago•42 comments

A few thoughts on intensity

https://www.tylerhogge.com/blog/a-few-thoughts-on-intensity/
23•andsoitis•1h ago•8 comments

Show HN: Farol – a risk map of a pull request for the person who approves it

https://github.com/winnin/farol
43•ericholiveira•2h ago•25 comments

We should be more ambitious with the software we build

https://danluu.com/ambitious/
589•ltratt•18h ago•577 comments

Washing machines took decades to catch on

https://daily.jstor.org/why-washing-machines-took-decades-to-catch-on/
22•herbertl•5d ago•20 comments

Cerebras Deploys Trillion-Parameter AI Models

https://www.cerebras.ai/blog/how-we-deploy-trillion-parameter-frontier-models-on-cerebras
277•gmays•14h ago•95 comments

Samsung TVs look for microphones in your house via Bluetooth and then spy events

https://twitter.com/freddier/status/2114042326758867453
65•taubek•3h ago•19 comments

How Japanese Dried Bonito Is Made

https://kottke.org/26/10/how-japanese-dried-bonito-is-made
133•bookofjoe•3d ago•35 comments

Samsung running a TensorFlow lite model on 960x540 image to track you

https://twitter.com/mike64_t/status/2114150399406202896
246•mashally•5h ago•154 comments

The Goose Programming Language

https://aardappel.github.io/goose/
507•bobbydigitales•21h ago•310 comments

Reverse engineer of PC-98 Touhou games retires

https://rec98.nmlgc.net/blog/2026-10-05
47•mimasama•3d ago•33 comments

SpeedCrunch 1.1

https://www.speedcrunch.org/
198•LordNibbler•21h ago•38 comments

Nikon photography contest winner loses title after scientists spot signs of AI

https://www.techspot.com/news/114171-nikon-photography-contest-winner-loses-title-after-scientist...
88•thunderbong•6h ago•23 comments

Small Programs and Languages

https://ratfactor.com/cards/pl-small
161•andsoitis•18h ago•23 comments

Local Wikipedia: Wikipedia, but only for things a half hour walk from you

https://edjefferson.com/localwiki/
1635•sohkamyung•2d ago•251 comments

Bring Back the Cool Save File Screens

https://scabshack.lol/posts/bring-back-the-cool-save-file-screens
3•surprisetalk•3d ago•0 comments

Tool book of a Nuremberg knight from 1505

https://loeffelholz-codex.org/en/
127•edwardog•3h ago•66 comments

Broccoli2Shell: Brotli decoder RCE in Node.js, Python and more

https://broccoli2shell.com/
362•theanonymousone•1d ago•180 comments

I don't understand quantum physics (2018)

https://www.southampton.ac.uk/~doug/quantum_physics/index.html
352•rramadass•1d ago•269 comments

America has lost 200k of jobs in media, film and the arts. How much is AI?

https://www.apricitas.io/p/ai-and-the-fall-of-the-creative-class
446•gnabgib•17h ago•468 comments

The Importance of Limitations for Creativity and Learning (2023)

https://ratfactor.com/cards/limitations
106•andsoitis•18h ago•33 comments

I Built a Stereo Vision Board for Hardware Hackers

https://rootkitlabs.com/2026/10/06/i-built-a-stereo-vision-board-for-hardware-hackers/
111•machinehum•4d ago•17 comments

FreeDNS

https://freedns.afraid.org/
331•esher•1d ago•87 comments

GPU-unlock: FP/BF16 instruction issue rate on Nvidia 3000's cards

https://github.com/Zagitta/gpu-unlock
303•fragebogen•1d ago•74 comments

Neural chip decodes interactions between brain regions

https://actu.epfl.ch/news/neural-chip-decodes-interactions-between-brain-r-2/
126•giuliomagnifico•1d ago•46 comments

Physicists trap a single antimatter particle for a month

https://www.scientificamerican.com/article/physicists-trap-a-single-antimatter-particle-for-a-month/
333•mooreds•3d ago•101 comments

Rewriting a Commercial Engine in Jai

https://polygonjs.com/blog/why-i-rewrote-polygon-from-scratch
60•frading•3d ago•49 comments

A story of a Figma bug that wasn't a bug at all (2021)

https://aresluna.org/this-is-a-story-of-a-figma-bug/
60•jllyhill•3d ago•5 comments

The St. Helena 5 pence coin shows Jonathan, a roughly 190 year old tortoise

https://de.numista.com/9866
131•schleck8•23h ago•44 comments
Open in hackernews

Show HN: I put employees inside S&P 500 market-cap bubbles

https://bigwhalehunting.com/workforce/
64•vfxGer•1h ago

Comments

vfxGer•1h ago
I was playing around with visualising the S&P 500 by market cap and decided to add employees to each company's bubble.

What surprised me was how empty some of the biggest companies looked.

Nvidia is worth $5.2 trillion but employs only 42,000 people. That's around $124 million in market cap per employee. Meanwhile, Accenture employs 814,000 people and is worth $146 billion.

Each stick figure represents 10,000 employees. You can zoom in and explore individual companies.

I wrote a bit more about what I found here: https://bigwhalehunting.com/blog/workforce/

Would be interested to hear what you think.

fhdkweig•56m ago
Curious why the comment by the poster got flagged but not the full post. I like when the poster includes a comment describing the content and reasons why he liked it.
dmayle•40m ago
I suspect it was one of the content review bots. In my first Show HN post, I handwrote the comment, but using a bulleted list style suggested by an AI agent, and that got flagged. I reached out to the mods, and they told me to switch to prose, which passed muster.
codingdave•34m ago
I dislike that. IMO, if the content cannot stand on its own, it did not need to be posted. A comment that adds something to it, to initiate a discussion, is fine. But a comment that just says what that post is? That is neither interesting nor engaging.

Such comments also encourage the idea that people "own" the threads they start. I've seen people get mad when people take the conversation in a direction they did not want, or add instructions telling people what to talk about and putting constraints around discussion. Such things stifle interesting conversation.

So I land heavily the opposite direction. Just post, and leave it at that. If the community finds it interesting, discussion will ensue.

Now, Show HNs are their own thing. An initial explanation is absolutely appropriate for a show HN. But it should be part of the post, not a comment.

fwipsy•10m ago
Even so, not sure it qualifies for flagging
soared•54m ago
1. The legend uses different icons than the visualization 2. Why would you purposefully make every bubble empty? Change the scale to 1000 employees otherwise it’s deceptive. 10k employees is arbitrary.
QuantumNomad_•46m ago
1000 or 10k per stick figure is equally arbitrary.

What they actually need to do is scale the size of the stick people correctly.

For example, one meaningful measure might be to scale it so that one stick person fits inside a circle with area corresponding to the amount of money they have to earn in total for that number of people to cover all their living expenses and some amount of savings left over. I am sure some statistical bureau has some meaningful dollar amount of some sort that makes sense to use.

mlyle•36m ago
Just make it so that the companies that employ the most per market cap are filled, so we can see how empty the rest are.
paxy•52m ago
Number of employees isn't a straightforward calculation.

- A lot of companies have part time, seasonal and contract workers (e.g. Amazon and Walmart). For some this even makes up the majority of their workforce.

- Some companies operate on a franchise model, and corporate employees are very limited. For example the 414K employees listed for Marriott aren't directly employed by them. But then you don't apply the same logic to McDonalds, where you are only counting the corporate employees.

- Holding companies (like Berkshire Hathaway) show the full employee count of their portfolio companies even through they may only own a small share. And again the logic isn't consistent because you are only counting 714 employees for Welltower, which is also a holding company.

Collecting incomplete or incorrect data and adding a hunded disclaimers at the end of the report is standard LLM behavior. Actually valuable analysis of this sort needs a lot more human effort.

Grombobulous•33m ago
The blog post OP linked puts more context into it, and I think it also makes it clear that they’re not trying to make an apples to apples comparison. It’s a tool that can aid in visualizing how different companies can be structured.
vfxGer•33m ago
Fair point, I was aware of that and mention it in the accompanying blog https://bigwhalehunting.com/blog/workforce/
mbesto•13m ago
> Collecting incomplete or incorrect data and adding a hunded disclaimers at the end of the report is standard LLM behavior. Actually valuable analysis of this sort needs a lot more human effort.

Or it's classic modern journalism that gets clicks. LLMs are just mimic'n human behavior.

brador•48m ago
What will this look like after the coming AI investment crash/growth stagnation inflection point?

It’s gonna be a wild ride to 2030.

rvz•30m ago
We have less than 4 years left to prepare before 2030 [0]

[0] https://news.ycombinator.com/item?id=47558516

LogicFailsMe•9m ago
Counterpoint: fortunately we still have more than 5 years to prepare for 2032.
samayashar•12m ago
Welltower and Palantir are doing an amazing job! A comparison with NVIDIA in terms of market cap per employee isn't realistic here, but perks to them for the utility that each employee is bringing to the table.