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Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
1•Willingham•6m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•7m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•12m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
1•mooreds•12m ago•1 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•13m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

1•pinkmuffinere•15m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•19m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•21m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•21m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•22m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
3•archb•24m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•24m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•25m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•25m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•30m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
3•dragandj•32m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•32m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•34m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•35m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•35m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•37m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•38m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•38m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•39m ago•1 comments

Interactive Unboxing of J Dilla's Donuts

https://donuts20.vercel.app
1•sngahane•40m ago•0 comments

OneCourt helps blind and low-vision fans to track Super Bowl live

https://www.dezeen.com/2026/02/06/onecourt-tactile-device-super-bowl-blind-low-vision-fans/
1•gaws•42m ago•0 comments

Rudolf Vrba

https://en.wikipedia.org/wiki/Rudolf_Vrba
1•mooreds•42m ago•0 comments

Autism Incidence in Girls and Boys May Be Nearly Equal, Study Suggests

https://www.medpagetoday.com/neurology/autism/119747
1•paulpauper•43m ago•0 comments

Wellness Hotels Discovery Application

https://aurio.place/
1•cherrylinedev•44m ago•1 comments

NASA delays moon rocket launch by a month after fuel leaks during test

https://www.theguardian.com/science/2026/feb/03/nasa-delays-moon-rocket-launch-month-fuel-leaks-a...
2•mooreds•44m ago•0 comments
Open in hackernews

$60K Data Infrastructure vs. $2M Cloud Equivalent

https://medium.com/@auras.tanase/how-veridion-saves-2-million-monthly-by-going-bare-metal-40ee64c9d07a
27•mihaivinaga•2mo ago

Comments

and1-1•2mo ago
so… they built a 4PB cluster, 14k cores, 50 GPUs, and it costs them less than my prod Kubernetes cluster on GCP. feels bad.
Growther0506•2mo ago
dont worry, their real cost was their sanity
td17191719•2mo ago
and what about the team of 1000 engineers you need to do the work of AWS support?
alexandra494•2mo ago
This is maybe the first “ditch the cloud” post that isn’t totally ideological. Makes sense for their scale + workload. I wish more companies ran the numbers instead of just accepting AWS bills as fate.
idk123456•2mo ago
the part about “predictable heavy workloads” should be bolded in neon. 90% of startups THINK they have predictable workloads. they do not. these guys actually do.
stefan420•2mo ago
i would argue 90% of startups think they are going to need autoscaling, invest in that, and then never reach the scale up point, while having spent the investment money already.

besides the point of the article, tho. even if at the end of the day the numbers don't perfectly add up, i don't believe they are WAY OFF. we are paying for cables and HDDs man. "ancient" tech.

DaveEliot•2mo ago
idk man, running your own hardware sounds awesome until you have to replace a dead RAID controller at 3am. article doesn’t really mention that part.
mihaivinaga•2mo ago
Well, we do have some servers that we have in the office(the gpus servers, those have been a pain in the... mostly because intel cpus suck). But other then these the entire hardware part is managed by hetzner (thank you hetzner for being awesome)
iancu•2mo ago
good story, but "works for us, so it should work for everyone". most startups can't touch this.
Growther0506•2mo ago
the irony is cloud providers would love to sell a customer like this giant blocks of reserved compute. wonder if they actually negotiated or just said “lol too expensive” and bailed.
radu26•2mo ago
not sure i buy the “$2M/mo on cloud” number. did they actually run it or just plug public on-demand pricing into a spreadsheet? nobody pays sticker price at that scale.
mihaivinaga•2mo ago
That's a fair point, the scale discounts certainly matter. That said: We did in fact run our prototype on AWS, and early on they flagged our account because our VMs were under heavy CPU load (we were told we'd need to cut below ~50 % or risk suspension). When you switch to dedicated hardware, you're no longer paying for "noisy neighbours" or hypervisor over-provisioning, so the effective per-unit cost often cleaner fully justifies the shift.
alextofan•2mo ago
Really appreciate how this isn't just another "cloud vs bare metal" holy war.The "own the core, rent the periphery" approach is exactly the kind of nuanced thinking we need more of in these discussions. That said,important caveat for anyone reading this: Veridion is processing petabytes of data with predictable workloads. If you're still figuring out product-market fit or your usage patterns are all over the place, premature infrastructure optimization will absolutely kill you.The cloud's "boring reliability" has real value when you need to focus on building the actual product. The 30x multiplier is real, but it only kicks in at serious scale with stable, known workloads. Most startups aren't there yet, and that's fine.
as3413•2mo ago
ngl the cloud evangelists aren’t gonna like this one. this is basically “we did the math and cloud wasn’t worth it
martis2018•2mo ago
not saying they’re wrong but $2m → $60k is like… a 97% cost drop. that is either cloud pricing insanity or some very optimistic bare-metal accounting.
general1465•2mo ago
If they are going from AWS, that would be the cloud pricing insanity.
cs0min•2mo ago
can’t tell if they’re geniuses or just suffering a massive case of “we built a data center so now everything looks like a hardware nail."
florint•2mo ago
This is a super interesting analysis, I wonder what scale do you need to reach the point where the ease of adoption of AWS/GCloud is not worth it anymore. The article compares compute in each scenario, which makes sense, but I would take into account the speed to live as a secondary metric. I'm pretty sure cloud is faster, at least initially