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Open Source @Github

"I closed MPEG on 2 Jun '20 when I left because obscure forces had hijacked it."

https://leonardo.chiariglione.org/
76•eggspurt•1h ago•30 comments

New AI Coding Teammate: Gemini CLI GitHub Actions

https://blog.google/technology/developers/introducing-gemini-cli-github-actions/
34•michael-sumner•2h ago•13 comments

We replaced passwords with something worse

https://blog.danielh.cc/blog/passwords
386•max__dev•9h ago•306 comments

About AI

https://priver.dev/blog/ai/about-ai/
28•emil_priver•2h ago•8 comments

Cracking the Vault: How we found zero-day flaws in HashiCorp Vault

https://cyata.ai/blog/cracking-the-vault-how-we-found-zero-day-flaws-in-authentication-identity-and-authorization-in-hashicorp-vault/
113•nihsy•4h ago•45 comments

Running GPT-OSS-120B at 500 tokens per second on Nvidia GPUs

https://www.baseten.co/blog/sota-performance-for-gpt-oss-120b-on-nvidia-gpus/
178•philipkiely•9h ago•95 comments

Claude Code IDE integration for Emacs

https://github.com/manzaltu/claude-code-ide.el
676•kgwgk•22h ago•229 comments

Debounce

https://developer.mozilla.org/en-US/docs/Glossary/Debounce
64•aanthonymax•2d ago•35 comments

Project Hyperion: Interstellar ship design competition

https://www.projecthyperion.org
284•codeulike•14h ago•217 comments

Rules by which a great empire may be reduced to a small one (1773)

https://founders.archives.gov/documents/Franklin/01-20-02-0213
183•freediver•12h ago•117 comments

A candidate giant planet imaged in the habitable zone of α Cen A

https://arxiv.org/abs/2508.03814
89•pinewurst•9h ago•29 comments

Show HN: Kitten TTS – 25MB CPU-Only, Open-Source TTS Model

https://github.com/KittenML/KittenTTS
867•divamgupta•1d ago•333 comments

Did Craigslist decimate newspapers? Legend meets reality

https://www.poynter.org/business-work/2025/did-craigslist-kill-newspapers-poynter-50/
19•zdw•3d ago•7 comments

Children's movie leads art historian to long-lost Hungarian masterpiece (2014)

https://www.theguardian.com/world/2014/nov/27/stuart-little-art-historian-long-lost-hungarian-masterpiece
13•how-about-this•3d ago•0 comments

Litestar is worth a look

https://www.b-list.org/weblog/2025/aug/06/litestar/
291•todsacerdoti•15h ago•78 comments

Jules, our asynchronous coding agent

https://blog.google/technology/google-labs/jules-now-available/
301•meetpateltech•19h ago•200 comments

Writing a Rust GPU kernel driver: a brief introduction on how GPU drivers work

https://www.collabora.com/news-and-blog/blog/2025/08/06/writing-a-rust-gpu-kernel-driver-a-brief-introduction-on-how-gpu-drivers-work/
272•losgehts•19h ago•33 comments

Herbie detects inaccurate expressions and finds more accurate replacements

https://herbie.uwplse.org/
67•bwidlar•3d ago•6 comments

Splatshop: Efficiently Editing Large Gaussian Splat Models

https://momentsingraphics.de/HPG2025.html
7•ibobev•3d ago•0 comments

We'd be better off with 9-bit bytes

https://pavpanchekha.com/blog/9bit.html
157•luu•15h ago•276 comments

A fast, growable array with stable pointers in C

https://danielchasehooper.com/posts/segment_array/
197•ibobev•17h ago•72 comments

Gaybreaking

https://twitter.com/AlexReibman/status/1953229500973740058
27•miohtama•33m ago•8 comments

The Bluesky Dictionary

https://www.avibagla.com/blueskydictionary/
172•gaws•14h ago•51 comments

40 Years of the Amiga

https://www.goto10retro.com/p/40-years-of-the-amiga-from-commodore
56•rbanffy•3h ago•20 comments

What is the average length of a queue of cars? (2023)

https://e-dorigatti.github.io/math/2023/11/01/queue-length.html
24•alexmolas•3d ago•8 comments

Scientists have recreated the Universe's first molecule

https://www.sciencedaily.com/releases/2025/08/250803011840.htm
16•LAsteNERD•2d ago•8 comments

Mac history echoes in current Mac operating systems

http://tenfourfox.blogspot.com/2025/08/mac-history-echoes-in-mac-operating.html
123•classichasclass•9h ago•40 comments

Automerge 3.0

https://automerge.org/blog/automerge-3/
323•surprisetalk•3d ago•29 comments

Multics

https://www.multicians.org/multics.html
125•unleaded•18h ago•28 comments

Comptime.ts: compile-time expressions for TypeScript

https://comptime.js.org/
138•excalo•3d ago•29 comments
Open in hackernews

How to Scale Proteomics

https://www.asimov.press/p/proteomics
30•surprisetalk•21h ago

Comments

skadamou•18h ago
There was quite a bit of fluff here so I only skimmed the article but the major takeaway here is that they figured out how to run protein mass-spec "by an order of magnitude" faster. This is certainly cool but I'm not sure I understand why this is on the front page of HN. What am I missing?

edit: Does anyone familiar with the field know what the significance of being able to run protein mass-spec an order of magnitude faster is? What kind of questions can we ask now that we couldn't ask before?

marcosdumay•18h ago
> I'm not sure I understand why this is on the front page of HN

Well, it's probably because `they figured out how to run protein mass-spec "by an order of magnitude" faster'.

srameshc•18h ago
OP isn't being dismissive, likely just skimming past the less essential details.
skadamou•17h ago
I guess a better way to put that would have been "what is the significance of being able to run protein mass-spec by an order of magnitude faster"

The article links this to Alzheimer's research but I was hoping someone on here familiar with the field would be able to point out how significant this advancement is.

marcosdumay•17h ago
Proteomics is the kind of fundamental research that can revolutionize every single area of medicine, biotech, and etc but is too central and general to have immediate applications on any specific thing.
0cf8612b2e1e•17h ago
I used to work in proteomics and I agree. The article is written at such a high level, the actual innovation is not that clear.

Barcodes that can 9 plex samples? Thermo TMT is up to 32 plex. Multiple injections with time offset? Also not a new idea.

What is unstated is that there is no free lunch. You can go fast or you can go “deep” (high resolution/separation). Running a MS at breakneck speed does work, but you are sacrificing quantitative accuracy and the depth of proteome coverage. Which is entirely valid way run, depending on your use case. Work in a hospital and need to do 1000 samples a day? Fast and targeted makes sense. Trying to discover some novel Alzheimer’s biomarker? You want to go slowly and measure everything you can.

Ultimately this is going to be just another tool available for researchers who have to weigh the pros and cons for the particulars of their samples.

The mention of PTMs was also a bit of a distraction. Measuring PTMs is an entirely different level of sophistication for which fast MS is rarely appropriate.

Edit: I should add that Alzheimer’s was probably just used as marketing copy, but is a terrible example for ludicrous-speed-go. Human Alzheimer’s samples are incredibly hard to procure. You either need brain or spinal fluid (apparently very painful to extract from the living). For precious samples you are usually willing to operate more slowly to ensure you do a better job.

WBrentWilliams•17h ago
I'll admit, my perspective is now 16, almost 17 years out-of-date, but my read of this article is that nothing much has advanced beyond what I was doing in the field back then.

My job? Data plumber and analyst, same as now. I scripted the nuts-and-bolts of matching the mass/time/time data off the instrument being developed by much more qualified PhD candidates and their advisor while I finished up my own degree. They did the heavy lifting. I was paid for by F&A funds to do the boring work. Great job for a student.

The job lead to a failed business venture. Water under the bridge. My last foray in data analysis was Principal Component Analysis of the data, trying to cluster detected proteins for visual analysis. I got the plots working outside of Matlab, and then my position was eliminated.

I have a rag-mag credit I could chase down to support my war story. To be honest, I read the article looking for familiar names and faces.

None found.

throwup238•16h ago
I’m pretty sure this article is out of date, or at least the lab they interviewed is. The latest Bruker TOF quadrupole ion trap mass spec is able to sample (tens of?) thousands of ion or m/z datapoints per minute with an optional electrospray ionizer that can handle 100s of kilodaltons so that’s no longer the bottleneck for most proteomics. Actually discriminating charge ratios and data analysis now is.

However I don’t think many academic labs have those mass specs because CROs and pharmaceutical companies have been buying out Bruker’s entire production line and running them almost 24/7 to analyze samples from clinical trials. Since they’re limited in how much blood they can draw per patient, those mass specs significantly expand the number of analytes they can test for and they’re willing to pay serious money for that.

WBrentWilliams•16h ago
As noted above, I was working out of an academic lab developing new equipment. We had current-level commercial equipment at the time to use in comparisons. I matched data to the data dictionary, recovered backups, scripted backups, sent alerts to grad students that their results were done, maintained and expanded the visualization software, consulted and contributed code to a Monte Carlo simulation to demonstrate that data collected was better than random and by how much... Great little projects for a budding software developer. I had to learn just enough Chemistry and Physics beyond what I already knew to be dangerous (and also understand the what and why of what I was doing and be able to ask clarifying questions). It was fun.
flobosg•16h ago
On the other hand, there’s been some progress and proofs of concept regarding the use of nanopore technology for protein sequencing. Hopefully something useful comes out of it.