MurphyA/hacker-news huggingface dataset:
by michaeld123 | 2025-11-04 04:32:52+00:00
Location: Takoma Park, MD, USA Remote: Yes Willing to relocate: No Technologies: Python, JavaScript, Swift, semantic systems, LLM orchestration, AI-assisted architecture Site/Portfolio: https://www.michaeldouma.com Email: m5@inotherwords-studio.com

I fix technical products that work but don't engage.

You built something powerful. Early adopters get it. But broader adoption stalls because the experience doesn't create its own momentum. I specialize in that exact inflection point - making sophisticated tools feel like discovery rather than homework.

My approach comes from 10 years running an indie game studio. I apply behavioral psychology to B2B/developer tools. Not gamification - actual intrinsic motivation that makes the 100th use rewarding. Judge for IGF, MagFest, CODiE, GEE, Serious Games awards.

Recent work: Semantic analysis mapping 110M+ connections across 1.5M words. Previously: SpicyNodes (40M users), time.gov (pioneering govt web service), medical AI serving 1.5M patients.

I lead teams or ship directly via AI-assisted architecture. Looking for Series A-C companies (10-50 people) with products that need to feel less like enterprise Java circa 2003. Developer tools, learning platforms, technical products with adoption friction.

Seeking: Head of Product Experience, Director of Developer Experience, or whatever you call the role that makes your product sing.

Latest: https://www.inotherwords.app LinkedIn: https://www.linkedin.com/in/michaeldouma/
by ska80 | 2025-11-04 04:33:26+00:00
Location: Bishkek, Kyrgyzstan Remote: Yes (US or EU time zones if needed) Willing to relocate: Yes Technologies: Java, Common Lisp, C, PostgreSQL, Redis, Kafka, RabbitMQ Résumé/CV: upon request Email: ska80 [at] gmx [dot] com
by ivaniscoding | 2025-11-04 04:33:35+00:00
I think people have been sleeping on Pixi. There has been a lot of hype about uv lately and lots of the praise apply to Pixi as well!

Pixi shines in those niches where Conda was the only option. It seems ROS is one of them.

I have been using Pixi with emscripten-forge to create Python WASM distributions. It’s another niche with a lack of tooling. Pixi is the only tool that streamlined my build process.

Keep up with the good work!
by ajross | 2025-11-04 04:35:14+00:00
You can cut/paste within your editor just fine. The subject at hand is window-system level clipboard/selection interaction, and in particular the presence of standard key bindings for them in various environments. While some terminal and editor apps do have keyboard bindings that interact with the OS clipboard, none are standard.

Basically, yeah: you had to use the mouse to select it in the first place. Using the mouse to paste it is easier, not harder.
by hakfoo | 2025-11-04 04:36:19+00:00
Abundant resources could enable bad designs. I could in particular see a lot of commercial drive for huge models that can solve a bazillion different use cases, but aren't efficient for any of them.

There might be also local/global bias strategies. A tiny local model trained on your specific code/document base may be better aligned to match your specific needs than a galaxy scale model. If it only knows about one "User" class, the one in your codebase, it might be less prone to borrowing irrelevant ideas from fifty other systems.
by MrDarcy | 2025-11-04 04:37:44+00:00
There aren’t many situations where expecting everyone to explain everything in every detail is correct, but there are some.

Many of those situations where it is OK are down at the foundational level of the internet itself, which is what linode and Drew DeVault were concerned with back in the day.

An example today I’m wrestling with is TLS interception (valid) vs protecting against TLS man in the middle attacks. It’s tough to get people to see it’s an either or situation, they truly are mutually exclusive.

Unless, we walk together through every painstaking detail to reach the necessary conclusion together.
by threecheese | 2025-11-04 04:37:59+00:00
Same. I think there’s an untapped market (feature really) here, which if isn’t solved by GPT-next will start to reveal itself as a problem more and more.

LLMs are really bad at being comprehensive, in general, and from one inference to the next their comprehensive-ness varies wildly. Because LLMs are surprising the hell out of everyone with their abilities, less attention is paid to this; they can do a thing well, and for now that’s good enough. As we scale usage, I expect this gap will become more obvious and problematic (unless solved in the model, like everything else).

A solution I’ve been toying with is something like a reasoning step, which could probably be done with mostly classical NLP, that identifies constraints up front and guides the inference to meet them. Like a structured output but at a session level.

I am currently doing what you suggest though, I have the agent create a script which invokes … itself … until the constraints are met, but that obviously requires that I am engaged there; I think it could be done autonomously, with at least much better consistency (at the end of the day even that guiding hand is inference based and therefore subject to the same challenges).
by FilosofumRex | 2025-11-04 04:39:02+00:00
All great industrial apps are DSLs for specific domains, because often time end users are much smarter & craftier than developers. Some great examples: - AutoCad (vector drawing DSL on top of Lisp) - Mathematica (symbolic algebra DSL - Lisp & C) - Aspen One (Thermodynamics/Chemistry DSL on FORTRAN) - COMSOL (Multiphysics DSL C++) - Verilog (FPGA design DSL C) and also general purpose tools like Regex, XLA, CERN/Root, SQL, HTML/CSS,...
by hattmall | 2025-11-04 04:39:58+00:00
Those don't seem like reasonable targets at all to me. OpenAI's product is information and their power is engagement. It's more like a cross between Facebook that thrives on engagement and Google that delivers information.

Googles biggest advancement in the last ~15 years is to produce worse search results so that you spend more time engaging with Google, and doing more searches, so that Google can show more ads. Facebook is similar in that they feed you tons of rage-bait, engagement spam, and things you don't like infused with nuggets of what you actually want to see about your friends / interests. Just like a slot machine the point is that you don't always get what you want, so there's a compulsion to use because MAYBE you will get lucky.

OpenAI's potential for mooning hinges on creating a fusion of information and engagement where they can sell some sort of advertisement or influence. The problem of course is that the information and engagement is pretty much coming in the most expensive form possible.

The idea that the LLM is going to erode actual products people find useful enough to pay for is unlikely to come true. In particular people are specifically paying for software because of it's deterministic behavior. The LLM is by its nature extremely nondeterministic. That's fully in the realm of social media, search engines, etc. If you want a repeatable and predictable result the LLM isn't really the go to product.
by permonst | 2025-11-04 04:40:25+00:00
> That sounds counterintuitive . What about higher pressure will slow water down?

It sounds counterintuitive because it's not worded well. Imagine a garden hose with no nozzle: The water doesn't go very far, but you can fill a bucket with it pretty quickly. You can also restrict the flow by putting your thumb over the end of the hose. That increases the pressure and allows you to fill up a bucket farther away, but it takes longer because you've lowered the volume (GPM) of water flowing from the hose.

Firefighters use nozzle tips of different sizes to make trade offs between pressure and volume.
by saadh393 | 2025-11-04 04:42:00+00:00
Location: Bangladesh

Remote: Yes, fully remote preferred

Willing to relocate: Yes, open to relocation (US/EU preferred)

Technologies: JavaScript (ES6+), Node.js, Express.js, React.js, Next.js (App Router), Redux, PostgreSQL, MongoDB, Redis, Docker, Firebase, REST APIs, WebSockets (Socket.io), BullMQ, and AWS (learning).

Résumé/CV: [github.com/saadh393](https://github.com/saadh393) / Available upon request

Email: [saadh3939@gmail.com](mailto:saadh3939@gmail.com)
by thayne | 2025-11-04 04:42:18+00:00
FWIW, in zsh, and probably other terminals, you can bind ctrl+v to be paste. Many terminal emulators also allow you to bind ctrl+v to paste, although that may interfere with applications that use ctrl-v for something else.

Kitty has a copy_or_interrupt action that behaves like you describe. Although, I think it would interfere with apps where ctrl-c is handled specially.

Edit: kitty also has a copy_or_noop action that passes through the ctrl+c if there is no selection.
by subhash_r_023 | 2025-11-04 04:42:38+00:00
Location: Bengaluru / Bangalore, India Remote: Yes Willing to relocate: Yes Technologies: JavaScript, React.js, Node.js, Express.js, PostgreSQL, REST APIs, Prisma ORM etc.., Résumé/CV: https://drive.google.com/file/d/1g5M5bvrItsXLp8sngFqiEYNu9Ij8C0QR/view?usp=sharing Email: subhash02305@gmail.com
by leptons | 2025-11-04 04:46:35+00:00
Moore's law has very little to do with the physical size of a single transistor. It postulates that the speed and capability of computers will double every few years. Miniaturization is one way to get that increase, but there are other ways.

>The internet, and the state of the art of computing in general has been driven by one thing and one thing alone: Moore’s Law.

You're wrong here... the one thing driving the internet and start of the art computing is money. Period. It wouldn't matter if Moore never existed, and his law was never a thing, money would still be driving technology to improve.
Show HN: MyTimers.app offline-first PWA with no build step and zero dependencies
by y3k | 2025-11-04 04:46:47+00:00
Hello,

For quite some time, I've been unsatisfied with the built-in timers on both Android and iOS; especially for workouts, when I needed to set up a configurable number of series with rest periods in between. That's when I started thinking about building something myself. It was just a timer and I said to myself "how hard could it be?", I had no idea.

The first iteration of the project worked "just fine", but the UI was an eyesore (even more than it is now), and the UX was quite awful as well. As you can probably guess, I'm not versed in design or front-end development. In fact, my last real experience with front-end work was back when jQuery was still a thing.

However, I knew what I wanted to build, and over the last few days (and with the help of the infamous AI) I was able to wrap up the project for my needs. It required quite a lot of "hand holding" and "back and forth", but it helped me smooth out the rough edges and provided great suggestions about the latest ES6 features.

The project is, as the title states, an offline-first PWA with zero dependencies; no build step, no cookies, no links, no analytics, nothing other than timers. It uses `Web Components` (a really nice feature, in my opinion, though I still don't get why we can't easily inherit styles from the global scope) and `localStorage` to save timers between uses.

I'd appreciate any comments or suggestions, since I just want to keep learning new things.

https://mytimers.app/
by kazinator | 2025-11-04 04:47:27+00:00
I wonder how things were done in this thing: https://en.wikipedia.org/wiki/Sun386i

Was that DOS emulation running some real DOS that though it was invoking BIOS calls?

According to a HN submission 3 years ago, evidently, Peter Norton once wrote a book on the 386i:

https://www.amazon.co.uk/exec/obidos/ASIN/0136616127/ref%3Dn...
by bloppe | 2025-11-04 04:48:09+00:00
I think Nagel put it best in 1974: https://www.philosopher.eu/others-writings/nagel-what-is-it-...

Essentially, something is conscious iff "there is something that it is like to be" that thing. Some people find that completely unsatisfying, some people think it's an insight of utter genius. I'm more in the latter camp.

Also, I think consciousness is non-binary. Something could be semi-conscious, or more or less conscious than something else.

Anyway, I don't think that there's anything that it's like to be an LLM. I don't see how anybody who knows how they actually work could think that.
by richardfeynman | 2025-11-04 04:48:12+00:00
My comment clearly advocates for common law standards: the right to a trial, the presumption of innocence, and so on. Am I understanding correctly that you think this advocacy--a staple of western thought--is bad faith? You prefer mob rule, no courts, medieval justice, and so on, and consider that good faith? What a topsy-turvy world we live in.
by DoctorOetker | 2025-11-04 04:49:43+00:00
This is from 2023 (not a complaint, just observing that the result might be stale and even lower upper bounds may have been achieved).

Its quite curious to consider the connection between compression and intelligence. It's hard to quantify comprehension, i.e. how do you see if a system effectively comprehends some data? Lossless compression rates are very attractive, since the task is to not lose data but squeeze it as close as possible to its information content.

It does raise other questions though: which corpus is considered representative? A base model without finetuning might be more vulgar but also more effective at compressing the comparatively vulgar corpus. The corpus the corpus expressed by an RLHF/whatever reinforced and pretty-prompted chatbot however will be very good at compressing its own outputs but less good at compressing the actual vile human corpus, although both the base model and the aligned model will be relatively good at compressing each others output as well, they will each excel at compressing their own implicit corpus.

Another question: as the bits/per character upper bound falls monotonically it will suffer diminishing returns. How does one square that with the proposal that lossless compression corresponds to intelligence? It would clearly not be a linear correspondence, and it suggests that one would need exponentially larger and larger corpus to beat the prior compression rates.

How long can it write before repeating itself?

====

It also raises lots of societal questions: less than 1 bit per character, how many characters in library genesis / anna's archive etc?
by robocat | 2025-11-04 04:50:01+00:00
Don't leave your special cookies or shots where norms might consume them.

A friend left her brownies in a Tupperware in the fridge at work. The colleagues decided to help themselves (good people, so I assume with the intention to replace). There were some rather unfortunate outcomes including hospital visits.

Please learn from her mistake: don't ever leave drugged food where other people/minors/animals might eat it.
by droopyEyelids | 2025-11-04 04:50:42+00:00
It depends. If your employer is part of a self-funded group of other employers, then there is a group of trustees from all the employers that can approve.

If it's a 'fully insured' group plan then the insurance company is technically in charge, but your company can do an Employer-paid exception (aka carve-out reimbursement) to cover something thats getting rejected. They also have the option to purchase add-on policies to add coverage for upper class stuff like fertility treatments, weight loss drugs, or gender-affirming care.
by hurrckplgbd | 2025-11-04 04:50:57+00:00
It's understandable to have sour grapes after having some bad experiences, but what I'm hearing is unrelated to any impact AI is having on the job market. You're talking about security products you think are snake oil and executives you think are overpaid; that is unrelated to trends in job postings for security professionals, working at software companies, and how that might be impacted from AI.

This is what I've been saying. You've got some random grievance, you want to take this discussion as an opportunity to get it off your chest. But you don't want to engage with people challenging your ideas. And when for whatever reason you do explain yourself to me, your explanation is "I am wealthy and successful, so I must be right. Those who disagree with me are an undifferentiated mass of imbeciles that I have nothing to learn from."

If that's how you want to live, it's your right. You're only cheating yourself, so maybe I'll just shut up and let you get on with it.
by trollbridge | 2025-11-04 04:51:20+00:00
In 2006, I foresaw that the smartphone was going to exist and be significant. But at the time I carried a Sharp Zaurus which just identified me as a gigantic nerd, and the clearest company to invest in was... HP/Compaq for the iPAQ, in terms of the most forward-looking device.

Then Apple came out with the iPhone but it was not clear they were going to be the market leader. They were certainly not the first mover.

With OpenAI, I see even less of a moat. Someone else comes along, makes a better foundational model, and they've got a gigantic advantage. What does OpenAI have?
by JumpCrisscross | 2025-11-04 04:52:19+00:00
> The bare necessities to live must be decoupled from capitalistic incentives

We don’t have evidence we live in sufficient abundance to guarantee this sustainably even in rich countries. Particularly when bare necessities are decried as cruelty and so cost creep comes to pass.

What we can do: free basic nutrition for all, free prenatal and neonatal care, free preventative medicine and annual check-ups, free access to generics where medically necessary, and a fixed amount of water and electricity to each household. Not enough to be remotely comfortable or long lived. But enough to survive.
by jackhelpcareai | 2025-11-04 04:53:07+00:00
Careforce AI | Senior Fullstack Engineer | REMOTE (US) | Full-time Healthcare administration is stuck in the era of the fax machine—manual, frustrating, and incredibly slow. At Careforce AI, we are building autonomous AI agents that eliminate this administrative burden, freeing medical teams to actually care for patients. Our AI finds, calls, and schedules patients, breaking the interoperability barriers that have plagued healthcare for 40 years. We're a well-funded, YC-backed company with massive customer demand. We're looking for a Senior Fullstack Engineer to be a foundational member of our small, ambitious team. You'll have significant ownership and work across the stack (Python, FastAPI, React, Supabase) to build and scale the core of our AI agent platform. This is a role for a builder who wants to solve hard problems and see their work have a massive, real-world impact. What we're looking for: Experience in an early-stage startup (pre-seed to Series A). 5+ years of full-stack experience (Python/React preferred, but we're flexible). Familiarity with LLMs and interest in building agents Stack: (Python/FastAPI, React, Supabase, GCP) Excellent generalist problem solver If you’re excited about building technology that solves a meaningful problem, apply here (https://www.ycombinator.com/companies/careforce-prev-helpcar...) with your background and why you're interested in what we're building.
by b00ty4breakfast | 2025-11-04 04:53:09+00:00
>Thinking and consciousness don’t by themselves imply emotion and sentience...

Sure, but all the examples of conscious and/or thinking beings that we know of have, at the very least, the capacity to suffer. If one is disposed to take these claims of consciousness and thinking seriously, then it follows that AI research should, at minimum, be more closely regulated until further evidence can be discovered one way or the other. Because the price of being wrong is very, very high.
by icameron | 2025-11-04 04:54:57+00:00
Thank you for the rescue, I loved mp3.com for discovering new artists and genres. I created an artist account and they sent me stickers and a tote bag, I thought those records were long lost, but finally just found them here!

I believe this site helped post hardcore emo break into the mainstream in the very early 2000s. Bands like Thursday and Taking Back Sunday rose on the mp3 charts with their Demos before they were signed. At least that’s how I remember it.
by supriyo-biswas | 2025-11-04 04:55:37+00:00
I guess this is only possible at engineering focused organizations that value technical excellence and also requires that one person be right enough in most cases to expend their social capital to advocate for the engineering changes that they want to see.

As a counterexample, I worked at a company with an extremely bureaucratic release process involving multiple levels of reviews from stakeholders, people manually monitoring a system after a release, and a policy of performing deployments only at nights, all indicators of the lack of confidence in the engineering processes of the organization.

While company management talked a lot about faster releases, “falling behind in the age of AI”, and the like, they also loved their processes and would rather keep it as to them it was a sign of meticulousness and quality. I hated it, but I don’t see how anyone, even the people who carried far more importance than me could have changed it, even though they’d acknowledge that it was slow and could do with more automation in private discussions.
by redman25 | 2025-11-04 04:56:20+00:00
Location: Chicago Remote: yes, hybrid ok Willing to relocate: no Technologies: rust, python, postgres, PEG, terraform, google cloud platform (GCP), flask, react, redis, sqlalchemy Resume: joshvoigts.com/resume.pdf Email: joshvoigts@gmail.com

I'm Josh, a fullstack developer of more than 10 years with specific experience writing APIs and parsers for backend data ingestion. I write rust and python but have used many languages and frameworks. I'm quick to learn and flexible.
by rswail | 2025-11-04 04:57:35+00:00
I don't accept that "any user interface as the interface, vs API interface". API has a specific meaning, it is for "Application Programmers", which implies that it is for developers of other systems/applications that interface with the system.

What I'm saying is that there are 3 different "users" (actors/use-cases/your-word-of-choice) for a system and each of them need different information about a system that can be expressed in a specific format and implementation of a versioning schema:

1. Other systems, connecting via a documented API (Semver tells devs when they need to be concerned about changes in a particular release to production).

In this case, the users (other developers) are specifically concerned with changes in meaning of an interface, including new information, changes in existing formats, or removal of information.

By definition, this is semantic and Semver provides a schema to support that. Each digit/component of the semver has a specific meaning associated with it.

2. SRE and operations managing the system in production (a calendar based version tells them when a system was released into production, potentially any hotfixes applied, and what SBOM to consult when operating)

It doesn't have to be calendar based, the release version is an arbitrary label. As long as the interpretation of that label is clear between the development and operations teams, it is fine.

Calendar based labelling is usually appropriate for changes to configuration of a system in production.

3. End users of any UX/UI, noting that some systems do not have end users, only other systems. My example was just one of many different "end user version" schemes. Just look at any iOS apps you have installed and what their latest "release" is.

The versioning here can be anything that is clear to the users. A financial system might be versioned by the financial year, or the release of tax and other codes on a regular basis.

Consumer applications might add arbitrary buzzwords like "ai" or "e" or anything else created by the marketing teams.