This is true, but it varies a lot based on local culture. "Let me buzz 'em / roll coal to teach 'em a lesson"
but you're not really going to see that in, say, Seattle
HN user
morrell.jeremy@gmail.com
This is true, but it varies a lot based on local culture. "Let me buzz 'em / roll coal to teach 'em a lesson"
but you're not really going to see that in, say, Seattle
I’m sorry this happened to you. However nothing in my reply implies cutting your children off from the world. Helping them avoid the harms of algorithmic feeds until they have developed the maturity to navigate them helps them be more connected to the world, not less.
With all due respect I think you are reading more there due to your own experiences, which sound like abuse, not parenting.
Protecting your kids from dopamine-drip algorithms and the effects of social media and short-form video during their most formative years and gradually letting them take over as they mature sounds like… parenting.
I learned very fast after purchasing my home that hiring out to a contractor made so much more sense. They can get done in a day what would take me a month+ of weekends.
pg seems to think we would be scandalized by this math, when all I feel is “so?”.
The language politicians use to sell to a general public does not have any correlation to their understanding of the mechanics. The people proposing this policy entirely understand the ramifications. That is the point of the policy.
The average person is already subject to something like a wealth tax through property taxes, in addition to also needing to pay taxes on their income. Join the club pal.
I could be wrong, but my understanding is that when people talk about the Death of SaaS, they are not talking about $20/month consumer apps. They are talking about six-figure+ enterprise deals that are the source of so much profit for SaaS companies.
There's a very non-trivial step in deciding that a particular subset and schema of log messages deserves to be in its own columnar data table.
IIUC this is addressed with the ClickHouse JSON type which can promote individual fields in unstructured data into its own column: https://clickhouse.com/blog/a-new-powerful-json-data-type-fo...
Parquet is getting a VARIANT data type which can do the same thing (called "shredding") but in a standards-based way: https://parquet.apache.org/blog/2026/02/27/variant-type-in-a...
When there are huge unknowns, such as in the case of a remodel where who knows what you might find once the drywall is removed, then yes. I happily worked with a contractor on a basement renovation with no estimate for this exact reason.
If it’s something where they have fewer unknowns and more control and lots of experience building the same thing, then I would expect an estimate: building a deck, re-roofing a house, etc
They miss estimates all the time though? It’s an observable fact
There is a bridge in my town that is finally nearing completion, hopefully, this year. It was estimated to be completed 2 years ago.
This changes when it’s a project that has fewer unknowns, where they’ve built the same thing several times before. The same is true in software.
People have definitely used ebikes for bikepacking as well. Not sure about BMX.
I dunno. Insights from Monarch have easily saved me many times the annual cost. Other tools could as well of course, but the ease-of-use makes it easy to maintain
I suspect that for a large number of orgs accepting over-provisioning would be significantly cheaper than the headcount required for a more sophisticated approach while allowing faster movement due to lower overall complexity
Thank you for this link! I've been wondering if it is possible these days to replace Fusion for my workflow, and this is exactly what I need to see
Modern geothermal is dispatchable. It's a really good compliment to wind and solar https://climateinstitute.ca/safe-bets-wild-cards/advanced-ge...
Why don’t you try that, convert the output to OTLP and then write about it?
Given it can output 180Nm I expect this thing can get up whatever hill you point it at
Title seems slightly exaggerated since by my reading there was no actual $3000 / month bill? Still a great use-case
This seems like a good idea to have plentiful dev environments and avoid a bad pricing model. If your production instance is still on Heroku, you might still want a staging environment on Heroku since a Hetzner server and your production instance might have subtle differences.
tap is a data-intensive SaaS that needs to be able to execute complex queries over gigabytes of data in seconds.
minimum resource requirements for good performance to be around 2x CPUs and 4 GiB RAM
This is less compute than I regularly carry in my pocket? And significantly less than a Raspberry Pi? Why is Fargate that expensive?
Cloudflare has Outbound Workers for exactly this use-case: https://developers.cloudflare.com/cloudflare-for-platforms/w...
If these aren't enabled for containers / sandboxes yet, I bet they will be soon
I bet you could get very very far on a single box,
With single instances topping out at 20+ TBs of RAM and hundreds of cores, I think this is likely very under-explored as an option
Even more if you combine this with cell-based architecture, splitting on users / tenants instead of splitting the service itself.
So-called standards now are just the monopolists coming to agreement among themselves.
That's... largely what standards are?? And they are really beneficial??
Yes, many such cases
From the article: “Huge machine - 8 CPUs, 16 GB of memory”
That’s barely more than a raspberry pi? (4 vs 8 cores) Huge machines today have 20+ TBs of RAM and hundreds of cores. Even top-end consumer machines can have 512GB of RAM!
I do agree with the author that single machines can scale far beyond what most orgs / companies need, but I think they may be underestimating how far that goes by orders-of-magnitude
LLM"s amy not be able to build software today, but they are 10x better than where they were in 2022 when we first started using chatgpt. Its pretty reasonable to assume in 5 years they will be able to do these types of development tasks.
We can expect them to be better in 5 years, but your last assertion doesn't follow. We can't assert with any certainty that they will be able to specifically solve the problems laid out in the article. It might just not be a thing LLMs are good at, and we'll need new breakthroughs that may or may not appear.
Why even stop at 100k/yr? Surely the graph is up-and-to-the-right forever? https://xkcd.com/605/
Unless I'm misunderstanding their store page, Framework charges $687 CAD ($500 USD) to go from 16GB → 32 GB RAM.
That doesn't seem accurate for any of their computers? There is a pretty big leap from 32GB -> 64GB for the Desktop, but that is also a different processor.
Apple charges an increased premium as you get further away from the base models. It’s really hard to find a better deal that the M4 base models
Yeah, modern heat pump dryers are just nice and have cycle times more in line with North American expectations, but you’re right that alternatives have been around a long time!
I love heat pumps, but the author should have had an energy audit done first. Likely a thermal camera on a cold day would quickly identify their envelope issues.
one from the clothes dryer (when I hold an incense stick up to it I can see it pulling in air even when it’s not running)
A normal vented clothes dryer can vent something like 8000 cu ft of air in a normal drying cycle (i.e. all of the air in their apartment). If that's running all the time somehow, that could definitely explain a lot. If that's the case they should fix it, and maybe explore ventless heatpump dryers.
Yes: https://caniuse.com/mdn-api_navigator_mediasession
Try using Spotify's mobile web app for an example. Works great.