MurphyA/hacker-news huggingface dataset:
by Brian_K_White | 2026-02-18 06:23:27+00:00
This was the stunning one to me. Just blew my mind literally observing it run up a dead end wire and slosh and rebound like water.

Previously I was used to thinking of dead ends as simply functionally inert. That without a circuit, nothing at all happens in the dead end wire other than the potential for something to happen.

Sure I know something more than nothing actually happens since there is an elevated charge there. But still just the mental model shorthand is that no circuit = no nuthin.

But it's not. It's actually like a pipe with a little bit of air to allow for some compression, and even the dead end has a small flow that travels to the end and builds up against it, then rebounds back and eventially levels out at some homogenious but now higher pressure.

That just boggles me! I love it.
by costin07 | 2026-02-18 06:24:37+00:00
I kept hearing the same complaint from founders:

“I know I should post on LinkedIn, but I never know what to write.”

So I started collecting high-performing posts across different niches and analyzing their structure, hooks, and formats.

After going through thousands of posts, a few patterns showed up repeatedly:

Most viral posts follow 5–7 repeatable hook structures

Short, story-driven posts outperform “advice lists” in most niches

Consistency matters more than individual post quality

Many creators copy the same frameworks without realizing it

I ended up turning the analysis into a small tool that:

analyzes your LinkedIn profile

looks at competitors in your niche

detects viral post frameworks

generates a 30-day content plan

schedules posts automatically

It’s still early and very rough, but a few founders are already using it to stay consistent.

Happy to answer questions or hear feedback:
https://link-pilot.com
by busterarm | 2026-02-18 06:25:00+00:00
It's only after decades of experience and hindsight that you realize that a lot of the important work we spend our time on has extremely limited long-term value.

Maybe you're lucky enough to be doing cutting edge research or do something that really seriously impacts human beings, but I've done plenty of "mission critical right fucking now" work that a week from now (or even hours from now, when I worked for a content marketing business) is beyond irrelevant. It's an amazing thing watching marketing types set money on fire burning super expensive developer time (but salaried, so they discount the cost to zero) just to make their campaigns like 2-3% more efficient.

I've intentionally sat on plenty of projects that somebody was pushing really hard for because they thought it was the absolute right necessary thing at the time and the stakeholder realized was pointless/worthless after a good long shit and shower. This one move has saved literally man years of work to be done and IMO is the #1 most important skill people need to learn ("when to just do nothing").
by croes | 2026-02-18 06:25:08+00:00
Corporations are plenty of people with jobs and families that depend on that jobs.

Where all the people of France that didn't choose to fight to their death collaborators?

Where all the people in the concentartion camps collaborators. Do you blame them or the real perpetrator?

I find it strange to put the blame on the middleman instead on the source of all that.
by Surac | 2026-02-18 06:25:09+00:00
Not related with go: I recently tried to learn Python beyond the classical example code from the web. After discovering that there are more or less 4 different ways to do a thing with no clear guide what best practice is. I come from C and there one is happy if there is ONE way to do a thing :). Is Go at this stage? Im Intrested in learning Go but not to a point where i need a LLM to determin if my code follows best practice.
by simondotau | 2026-02-18 06:26:05+00:00
>>>>>>> Still fails the car wash question

>>>>>> Remarkable, since the goal is clearly stated

>>>>> Well it is...non-sensical...the car is already at the car wash

>>>> How is the [car wash] question nonsensical?

>>> Because validity doesn't depend on meaning.

>> There's nothing syntactically meaningless about wanting your car washed.

> I wasn't under the impression anyone was discussing car washing.

Maybe you replied to the wrong post by mistake?
by elcapitan | 2026-02-18 06:28:39+00:00
Obsidian is very flexible, and what a lot of these "how I use Obsidian" tutorials miss is to give a reason why the person is actually using it the way they are using it. Seems like this guy is using it mostly to store meeting notes or journaling. Of the many influencery Obsidian tutorials on Youtube, 99% of them seem to be using it to keep notes for creating Obsidian tutorials.

Would be interesting to have differing perspectives from people with different problems and how they use it for those cases.
by scoopdewoop | 2026-02-18 06:28:53+00:00
Prompting LLMs for code simply takes more than a couple of weeks to learn.

It takes time to get an intuition for the kinds of problems they've seen in pre-training, what environments it faced in RL, and what kind of bizarre biases and blindspots it has. Learning to google was hard, learning to use other peoples libraries was hard, and its on par with those skills at least.

If there is a well known design pattern you know, thats a great thing to shout out. Knowing what to add to the context takes time and taste. If you are asking for pieces so large that you can't trust them, ask for smaller pieces and their composition. Its a force multiplier, and your taste for abstractions as a programmer is one of the factors.

In early usenet/forum days, the XY problem described users asking for implementation details of their X solution to Y problem, rather than asking how to solve Y. In llm prompting, people fall into the opposite. They have an X implementation they want to see, and rather than ask for it, they describe the Y problem and expect the LLM to arrive at the same X solution. Just ask for the implementation you want.

Asking bots to ask bots seems to be another skill as well.
by simonw | 2026-02-18 06:28:56+00:00
It matters because as long as they are selling inference for less than it costs to serve they have a potential path to profitability.

Training costs are fixed at whatever billions of dollars per year.

If inference is profitable they might conceivably make a profit if they can build a model that's good enough to sign up vast numbers of paying customers.

If they lose even more money on each new customer they don't have any path to profitability at all.
by esailija | 2026-02-18 06:30:19+00:00
There is no such thing that you can always keep adding more of and have it automatically be effective.

I tend to automate too much because it's fun, but if I'm being objective in many cases it has been more work than doing the stuff manually. Because of laziness I tend to way overestimate how much time and effort it would took to do something manually if I just rolled my sleeved and simply did it.

Whether automating something actually produces more with less labor depends on nuance of each specific case, it's definitely not a given. People tend to be very biased when judging the actual productivity. E.g. is someone who quickly closes tickets but causes disproportionate amount of production issues, money losing bugs or review work on others really that productive in the end?
by jcul | 2026-02-18 06:30:22+00:00
All of my banking related apps work fine.

The only apps that haven't worked are Google wallet for NFC payments and, strangely "macrofactor" a calorie tracking app.

Google wallet works for things like library cards, tickets etc, just not NFC payment.

Macrofactor since seem to have fixed their app, the features that did not work now do.

Graphene used to lack android auto support but it has since been added and works perfectly.

They maintain a guide for app developers as well as a list of apps that refuse to add comparability here:

https://grapheneos.org/articles/attestation-compatibility-gu...
by Animats | 2026-02-18 06:30:58+00:00
I did a search for the picture. Here it is on Alamy Stock Photos.[1] There it's supposedly a cooling water supply system.

And here it is on Dreamstime.[2] There, it's supposedly a Diesel generator.

Here it is on Alamy again, from a different viewpoint.[3] Here, it's supposedly a "copper crushing plant", a ball mill. That's a video where the point of view changes.
It's not a ball mill. Alamy misfiled it with other pictures of real ball mills, which look quite different.

Source seems to be something called "Media Whale Stock".

This is embarrassing. LANL used to be a famously competent organization. Now they're shipping fake pictures.

[1] https://www.alamy.com/video/auxiliary-cooling-industrial-fan...

[2] https://www.dreamstime.com/very-large-electric-diesel-genera...

[3] https://www.alamy.com/video/copper-crushing-plant-ball-mills...?
by BrunoBernardino | 2026-02-18 06:31:04+00:00
I did a Show HN a couple of days ago for a EU-based Kagi alternative [1] and was pretty disappointed to see it get 7 votes in the first hour and then disappear (from the first page).

I've been told it was probably shadowbanned because I shared the direct link in a small community (I didn't _ask_ to upvote, I shared the post, and mentioned people could upvote if they thought it was worth it), but I don't see it as flagged or anything. It just seems like there's too much volume nowadays, indeed.

If it's clear for someone else I've done something wrong in the post, I'd love to be told and learn from it.

[1] https://news.ycombinator.com/item?id=47035142
by mrtksn | 2026-02-18 06:31:54+00:00
The persona is, someone who knows what are they doing but need someone to actually automate their work routine. I.e. maybe it’s a crypto trader that makes decisions on signals interpretation so they can create a trading bot that executes on their method. Maybe its a compliance who needs automate some routine like checking details further when some conditions arise. Or maybe a social media manager that needs to moderate their channels.Maybe someone who needs a tool for monitoring HN that specific way?

Thanks for the advice! I’m at a stage where I want to have such tool and see who else wants it. Not sure yet about it’s viability as a business and what is the exact market. Maybe I will find out by putting it into the wild and that’s why I consider to release it as a mobile app first.
Show HN: MeterLogs – Track home energy usage without smart devices
by lumpe | 2026-02-18 06:33:06+00:00
I built MeterLogs because most energy tracking solutions require smart devices, installers, or expensive hardware.

MeterLogs takes a pragmatic approach: you enter your monthly meter readings manually, and it generates simple yearly dashboards with grouped energy types (electricity, water, gas, etc.).

It’s designed for homeowners who just want a clear overview without IoT setups or subscriptions to hardware ecosystems.

I’d love feedback, especially on usability and pricing.
by theteapot | 2026-02-18 06:33:42+00:00
Nah HA is defs what I want. I agree it's terrible software. All the more motivation for me to try throw AI at it. If the docs were better I'd just grind the docs instead it would probably be ahead, but the HA docs suck almost as bad as the code - which may have something to do with why the AIs are sucking now that I think about it ..
by maxdo | 2026-02-18 06:34:01+00:00
Ai solved(ing) coding in 2026

Robots doing drunken panda moves
FSD are insanely good using MacBook grade + and not even grass iPhone hardware

few other companies are doing large scale self driving large scale pilots

Cars are already heavily built using specialized robots today

Id say it’s equally stupid for any other car brand to invest money into something not autonomous or robotics.
by kristiandupont | 2026-02-18 06:34:14+00:00
Very nice! I am the author of Kanel* which generates types for each table, view, etc. I tend to use it together with Knex which gives me strong type safety from simple selects and updates and sporadic type safety from complex queries with joins etc.

The advantage to your approach (I guess) is increased type safety for complex queries, trading off the loss of "fundamental" types with, say, branded ID types? I guess the two approaches are quite complementary, perhaps I should try that.

* https://github.com/kristiandupont/kanel
by moi2388 | 2026-02-18 06:34:48+00:00
“ The team identified the smallest deviation in the flights near prominent landscape features such as the tree. In contrast, the greatest variability was measured above the cornfield, an area with a very uniform visual structure. “Our results suggest that visual landmarks aid the bees’ navigation and increase the precision of their flight paths,”

Why? A cornfield to me would be easier to navigate than a tree, since it has clear structure. The tree looks different from every angle and height.

And why wouldn’t wind play a role? More wind over the cornfield, so they adjust their paths slightly?
Show HN: H.e.i.m.d.a.l.l – Telemetry-to-insight pipeline for fleet telemetry
by starksriram | 2026-02-18 06:35:33+00:00
I built a pipeline for querying fleet telemetry (AVs, robots, vehicles) in natural language. Load Parquet or CSV into cuDF, then ask things like "Which vehicles exceeded 120 km/h in region X?" and get back IDs and metrics.
Tech: cuDF for GPU ingest/analytics, NVIDIA NIM on GKE for LLM inference, format-aware model selection (GGUF local, TensorRT prod). Three notebooks: data ingest with pandas vs cuDF vs cudf.pandas benchmarks, local Gemma 2 inference, and full NIM deployment. Runs on Colab with a T4 for notebooks 1 and 2; notebook 3 uses GCP and NIM on GKE.
by SloppyDrive | 2026-02-18 06:36:05+00:00
They have a current production capacity in the high hundreds of thousands, a software solution that has a reasonable chance of competing in the self driving market, and a worldwide distribution platform.

So the optimistic valuation is based on: Global ride share killer + Large car manufacturer + power infrastructure + Robotics.

Somehow the valuation is as though TSLA will succeeded early enough to entrench itself; if robotaxi wide rollout happens in the next six months, i would be happy to say TSLA is worth more than its current valuation. If it cant then at best 30% of current valuation.
by throwerxyz | 2026-02-18 06:36:12+00:00
There exists a huge amount of Musk derangement syndrome these days.

Elon Musk is a great businessman and develops great products for general consumers. There is not much wrong with him other than his online persona... which most normal people can ignore. He's probably more normal than any other business leader.

What's weird is people lumping in some of Elon's actions with falls in Tesla sales as if he didn't:

1. Predict it

2. Gift the whole world the motivation to do it

I don't care about Elon Musk. He's a good businessman and a weird personality. But it doesn't take a genius to realise that he can't lead a winning product unchallenged, forever.
by simonw | 2026-02-18 06:36:19+00:00
Here are a few of mine from the past month - for all of them 90%+ of the code written by Claude Code:

- https://github.com/simonw/sqlite-history-json

- https://github.com/simonw/sqlite-ast

- https://github.com/simonw/showboat - 292 stars

- https://github.com/simonw/datasette-showboat

- https://github.com/simonw/rodney - 290 stars and 4 contributors who aren't me or Claude

- https://github.com/simonw/chartroom

Noting the star counts here because they are a very loose indication that someone other than me has found them useful.
by linkjuice4all | 2026-02-18 06:36:24+00:00
The Giga Press and battery factories (to some extent) seem pretty heavily tied to automobile manufacture. Regardless - there are many automobile production lines that found a second or third life producing down-market brands or moved to other countries because they still have some value.

I guess I'm just continuously baffled by the complete fuck-up that is/has-been Tesla motors.
by heikkilevanto | 2026-02-18 06:36:39+00:00
Well, if you have a perfect evaluation function, you don't need to search. And if you can do a perfect search to the end, you don't an evaluation function. Un(?)fortunately none of these extremes seems reasonable for a game like chess (and even less for go). So most software use both search and evaluation. And a whole lot of optimizing and other tricks. With impressive results.
by lenkite | 2026-02-18 06:36:41+00:00
> The boat attacks are small actions, unlikely to result in any consequences. Also I haven't followed it super-closely, but I believe the claim is those are cartel drug-smuggling boats

Lol, no. Oil tankers are not "cartel drug-smuggling boats". This U.S. administration lies like the Prince of Hell. Another oil tanker was captured by piracy a couple of days ago.

> No one liked Maduro, and he probably stole his last election (at least), so no one's really crying for him. Are you?

Americans don't get to decide that. And most especially not members of this corrupt administration who make Maduro look like an angel.

> So you concede my point? Even with Canada's military exactly as it is right now, there's no realistic military threat to it from Trump, because he's never going to commit to anything that costly.

He is crazy enough to sanction Canadian shipping. You don't need to attack land when you can attack shipping and tighten the screws.
by NoMoreNicksLeft | 2026-02-18 06:36:43+00:00
> Massive decreases in population change culture.

Plagues, wars, yeh. But this decline works differently. You don't wake up 3 years later with tens of million missing. You just get older, everyone about your age gets older. You die of old age at about the right time... maybe a little more than life expectancy estimated. And the generation younger than you, same thing, just you're ahead of the race.

There's never anything big enough to change culture here. Not in any way that matters. And for all the thinking you've done, the best you can come up with is "nyuh uh, something will magically make it all change just before it'd get REAL bad".

>At worst, we'll end up in a world where the majority of the population consists of the descendants of current high-fertility subcultures.

These aren't little dots of mold in a petri dish. The high-fertility subcultures don't survive this any more than anyone else does. The Duggars don't get to have 400 grandchildren, even if they had 20 children. The Amish don't get to stay the Amish... too dependent on their host culture. Sure, they can build a barn in a day but there's not a single fucking Amish nail factory (or iron foundry, or ore mines) anywhere. They don't weave their own cloth. They're doomed too.

>Fertility rates only become a population-level problem a few generations down the line, at which point we are almost guaranteed to have artificial wombs

Science fiction magic will save us! Nevermind that Xi will be able to grow entire clone armies, that's a small price to pay for magic that will save us from our own inability to fuck.

>It is not an extinction risk.

Says the guy whose best idea comes from bad genre novels.
by schainks | 2026-02-18 06:37:16+00:00
Having tried different systems since the days of Evernote, the _only_ thing that is consistently useful like obsidian is... emailing myself whatever info I have to look up later. I even used to do this for reminders.

Google search in Gmail continues to just work.

But also I want something better than email, so I've been a happy obsidian user for a while now.
by maxdo | 2026-02-18 06:38:02+00:00
I watched his interview recently to save you time, and the suffer :

His Vision — Hate It, Laugh at It, or Love It:

AI has solved (or is solving) coding in 2026.

Robots are doing drunken panda moves, yet FSD is insanely good — running on MacBook-grade hardware.

A few other companies are running large-scale self-driving pilots.

Cars are already being heavily built using specialized robots today.

At this point, it’s stupid for any car brand to invest money into anything that isn’t autonomous driving or robotics.
by r2d2Pai | 2026-02-18 06:38:38+00:00
The emphasis on "managing context, follow-ups, and failure cases" over single-shot answers is the right call. Real interviews are iterative — the interviewer pushes
back, asks "what if the input is 10x larger," or wants you to walk through your thinking step by step.

One thing I've noticed: the hardest part isn't having the AI generate good follow-ups — it's building the habit of explaining your reasoning before writing code. Most
people jump straight to implementation, and then when the interviewer asks "why this approach," they struggle to articulate it retroactively.

If the tool could nudge people to verbalize their approach first, that alone would be a massive improvement over just solving problems silently
by hcnews | 2026-02-18 06:39:17+00:00
At some point you have to wonder if there's some manipulation going on? Do 100s of bots buy and sell these stocks at specific times to keep the price up? Maybe there's an institutional investor or few who secretly back Elon and are part of a scheme?

A bit speculative reply but would appreciate if anybody links any such analysis'/investigations.

From my limited knowledge, I know people have been shorting Tesla based on fundamentals for a while now but haven't been successful.
by KellyCriterion | 2026-02-18 06:39:35+00:00
>>The AI doesn’t know anything about the full scope of all the things in my head about my company’s environment and the information I need to convey to it.<<

This is your problem: How should it know if you do not provide it?

Use Claude - in the pro version you can submit files for each project which are setting the context: This can be files, source code, SQL scripts, screenshots whatever - then the output will be based on your context given by providing these files.
by timwis | 2026-02-18 06:41:09+00:00
Not the OP, but I've got a "Names to remember" evergreen note in my Reference folder. Within it, I have a few headings (e.g. neighbours, or locations), and a bullet point for each person, with context that will trigger the memory. That might sound like there's a lot of structure, but it's really the act of writing it down in the first place that helps me remember.
by Retric | 2026-02-18 06:41:42+00:00
They canceled it because of poor adoption rather than any technical issues.

Which if anything looks worse for Tesla long term. If luxury car owners aren’t willing to pay 200$/month for self driving then trying to up charge people buying used model 3 and Y’s after canceling the S and X looks dubious. Which means that 100$/month subscription likely loses them money vs an 8k purchase.
by maxbond | 2026-02-18 06:41:43+00:00
The market discounts future returns but it is unclear and shifting what proportion of those returns are from the operations of the company in the market it sells products in and what proportion comes from the operations of traders in financial markets. More plainly, traders discount returns from buybacks and dividends financed by the operations of the company and returns from selling their shares to "greater fools".

As long as the music is playing they will keep dancing. Musk is a master of DJing that party. We might wake up tomorrow and find that his house of cards has fallen apart, but we might wake up to learn they really have solved FSD. That ambiguity keeps the price from collapsing.
by Maxion | 2026-02-18 06:42:06+00:00
> whereas the average HN techbro/nerd (like yours truly) will think it's great -- until they actually taste it, that is.

This is the schtick though, most people wouldn't even be able to tell when they taste it. This is typically how it works, the average person simply lacks the knowledge so they don't even know what is possible.
by KellyCriterion | 2026-02-18 06:42:13+00:00
(pre) VisiCalc:
You have to understand that the primary users (accountants etc.) do not care about how a thing looks in their working process: If a tool helps them, they will use it even if its ugly according to aesthetical frontend questions :-)

(Think about this old black/white or green mainframe screens - horrible looking but it gets their job done)