MurphyA/hacker-news huggingface dataset:
by kmatthews812 | 2026-02-02 19:02:27+00:00
Xolvio | Senior Flutter Developer | Remote | Eastern Time Zone

We are building a Flutter mobile app for a well known media brand. We are looking to hire senior Flutter engineers who have experience architecting, building, and deploying mobile applications that serve large consumer user bases.

You will be expected to write clean, scalable code with 100% test coverage on a team of high performers.

If interested, send your LinkedIn to kevin@xolvio.com
by Oras | 2026-02-02 19:02:50+00:00
I’ve been using codex regularly and it’s pretty good at model extra high with pretty generous context.

From the video, I can see how this app would be useful in:

- Creating branches without having to open another terminal, or creating a new branch before the session.

- Seeing diff in the same app.

- working on multiple sessions at once without switching CLI

- I quite like the “address the comments”, I can see how this would be valuable

I will give it a try for sure
by Philip-J-Fry | 2026-02-02 19:02:56+00:00
I don't understand how anyone seriously hyping this up honestly thought it was restricted to JUST AI agents? It's literally a web service.

Are people really that AI brained that they will scream and shout about how revolutionary something is just because it's related to AI?

How can some of the biggest names in AI fall for this? When it was obvious to anyone outside of their inner sphere?

The amount of money in the game right now incentivises these bold claims. I'm convinced it really is just people hyping up eachother for the sake of trying to cash in. Someone is probably cooking up some SAAS for moltbook agents as we speak.

Maybe it truly highlights how these AI influencers and vibe entrepreneurs really don't know anything about how software fundamentally works.
by TheTaytay | 2026-02-02 19:03:27+00:00
This looks really cool and genuinely useful. I was about to submit this after seeing the mention in another thread!

Before I read your last line, I was about to ask about network sandboxing. I don’t know what the ideal feature set is, but I keep wanting a proxy or network filter that mitigates some of the “dumb” attack vectors for LLMs…
Show HN: Open-Source Terminal UI for Kamal Deploy Management
by shuvrokhan | 2026-02-02 19:03:46+00:00
Hi guys,

I built a Terminal UI for Kamal Deploy, for both server management and per-project use.

Inspired by lazydocker's TUI, it's also open source.

The issue was that my single VPS hosts all deployed configurations, making it hard to visualize and inspect them. I wanted a visual way to see their status, so I created this tool.

Happy to receive feedback or PRs if you find it useful.

Find it at https://github.com/shuvro/lazykamal

Regards,
Nazmul
by VTimofeenko | 2026-02-02 19:03:52+00:00
True, it's not a full replacement for ipmi-ish tech. There are ways the deployed waiter can fail before it times out and triggers the rollback. Deploy often enough and you will hit all wonderful edge cases. I treat it as a first line of defense that saves me time on scooting the chair over to me server cabinet and yanking the cords.

WRT ephemeral state -- NixOS allows to minimize this. Coupled with impermanence, all non-declared and non-externally-retrievable state is wiped away upon reboot. And if it's not declative and not retrievable, I just don't use it. Homelab allows for a lot of choice in that regard
by ezulabs | 2026-02-02 19:04:10+00:00
Location: Europe (GMT+3)

Remote: Yes (4-hour daily overlap with US time zones)

Willing to relocate: No

Technologies: Python, TypeScript, LLM APIs (Claude, OpenAI), RAG workflows, prompt engineering, gRPC, Docker, Kubernetes, PostgreSQL, Redis, React, Next.js, TensorFlow, Java/Kotlin, C/C++

Résumé/CV: https://www.ezulabs.com

GitHub: https://github.com/ezulabs

Email: contact@ezulabs.com
by joepaolicelli | 2026-02-02 19:04:20+00:00
Location: NYC

Remote: Open to Remote, Hybrid, and In Person roles

Willing to relocate: No

Technologies: TypeScript, Node.js, Python, Vue, Nuxt, React, PostgreSQL, Elasticsearch, Docker, AWS, GitHub Actions, Jenkins

Résumé/CV: https://joepaolicelli.com/resume.pdf

Email: joe [at] joepaolicelli.com

I'm a Full Stack web developer with 6+ years of experience, first at NASA's Jet Propulsion Laboratory, then at Vannevar Labs, a defense startup. I've taken on roles including web app design and development, improving observability and automation in large scale data pipelines, team leadership, and developing services to configure and secure deployments to cloud infrastructure. I've worked with a large variety of technologies, and developed a robust set of skills in all layers of the web dev software stack.
by gdubs | 2026-02-02 19:04:20+00:00
One of my all-time favorite quotes is from Zen Mind, Beginner's Mind and it goes: “In the beginner’s mind there are many possibilities, but in the expert’s there are few.”

There's such a wide divergence of experience with these tools. Often times people will say that anyone finding incredible value in them must not be very good. Or that they fall down when you get deep enough into a project.

I think the reality is that to really understand these tools, you need to open your mind to a different way of working than we've all become accustomed to. I say this as someone who's made a lot of software, for a long time now. (Quite successfully too!)

In someways, while the ladder may be getting pulled up on Junior developers, I think they're also poised to be able to really utilize these tools in a way that those of us with older, more rigid ways of thinking about software development might miss.
by hibikir | 2026-02-02 19:04:28+00:00
Copying a game from the 90s is easier than ever. We see small teams making 90s level games all the time. It just happens that in the market, those are now just indies.

The market demands not just better, more complicated games, but mostly much higher art budgets. Go look at, say, Super Metroid, and compare it to Team Cherry's games in the same genre, made mostly by three people. Compare Harvest Moon from the 90s with Stardew Valley, made one person. Compare old school Japanese RPGs with Undertale, again with a tiny team. Lead developer who is also the lead music composer. And it's not like those games didn't sell: Every game I mentioned destroyed the old games in revenue, even though the per-unit price was tiny. Silksong managed to overload Steam on release!

And it's not just games. I was a professional programmer in the 90s. My team's job involved mostly work that today nobody would ever write, because libraries just do it for you. We just have higher demands than we ever did.
by rdn | 2026-02-02 19:04:31+00:00
The better models can handle that prompt assuming there is an existing clean codebase and the scope of the task is not too large. The existing code can act as an implicit boundary.

Weaker models give your experience, or when using a 100% LLM codebase I think it can end up in a hall of mirrors.

Now I have an idea to try, have a 2nd LLM processing pass that normalizes the vibe-code to some personal style and standard to break it out of the Stack Overflow snippet maze it can get itself in.
by stantonius | 2026-02-02 19:04:39+00:00
Wrt simonw, I think that is unfair. I get the hype is frustrating, and this project made everything worse (I also feel it and it drives me nuts too), but Simon seemed to choose the words quite carefully. Over the weekend, his posts suggested (paraphrasing) it was interesting, funny, and a security nightmare. To me, this was true. And there was a new post today about how it was mostly slop. Also true.

Btw I'm sure Simon doesn't need defending, but I have seen a lot of people dump on everything he posts about LLMs recently so I am choosing this moment to defend him. I find Simon quite level headed in a sea of noise, personally.
by cvhc | 2026-02-02 19:04:50+00:00
What amuses me about this hype is that before I see borderline practical use cases, these AI zealots (or just trolls?) already jump ahead and claim that they have achieved unbelievable crazy things.

When ChatGPT was out, it's just a chatbot that understands human language really well. It was amazing, but it also failed a lot -- remember how early models hallucinated terribly? It took weeks for people to discover interesting usages (tool calling/agent) and months and years for the models and new workflows to be polished and become more useful.
by tokyobreakfast | 2026-02-02 19:05:04+00:00
I wonder if the impetus behind the (terrible) monolithic design of systemd was to force standardization across distros. The choice was more political than technical.

If different choices were available for init, DNS resolver, service control manager, volume manager, etc... we would adversely contribute to the schizo distro landscape the people holding the money bags are actively trying to get away from.

With systemd it's an all-or-nothing deal. You get the good with the bad, but all distros shit the bed in the same, deterministic way.

Not even Windows does this. There is no "systemd" equivalent. Yes, Windows ships as a single OS—as do the BSDs—but all the components were developed separately.

If all they wanted was a service control manager, there were many (better) options already in existence they could have used.
by jlokier | 2026-02-02 19:05:19+00:00
I've worked on a hobby database that did something like this, but instead of "flat" dictionary compression over columns, it used a tree of compression contexts - trillions of them.

Data was compressed in interior and exterior trees, where interior trees were the data structure inside blocks (similar to B-tree block contents), and exterior trees were the structure between blocks (similar to B-tree block pointers, but it didn't use a B-tree, it was something more exotic for performance).

Each node provided compression context for its children nodes, while also being compressed itself using its parent's context.

As you can imagine, the compression contexts had to be tiny because they were everywhere. But you can compress compression contexts very well :-)

Using compression in this way removed a few special cases that are typically required. For example there was no need for separate large BLOB storage, handling of long keys, or even fixed-size integers, because they fell out naturally from the compression schema instead.

The compression algorithms I explored had some interesting emergent properties, that weren't explicitly coded, although they were expected by design. Some values encoded into close to zero bits, so for example a million rows would take less than a kilobyte, if the pattern in the data allowed. Sequence processing behaved similar to loops over fast, run-length encodings, without that being actually coded, and without any lengths in the stored representation. Fields and metadata could be added to records and ranges everywhere without taking space when not used, not even a single bit for a flag, which meant adding any number of rarely-used fields and metadata was effectively free, and it could be done near instantly to a whole database.

Snapshots were also nearly free, with deltas emerging naturally from the compression context relationships, allowing fast history and branches. Finally, it was able to bulk-delete large time ranges and branches of historical data near instantly.

The design had a lot of things going for it, including IOPS performance for random and sequential access, fast writes as well as reads, and excellent compression.

I'd like to revive the idea when I have time. I'm thinking of adding a neural network this time to see how much it might improve compression efficient, or perhaps implementing a filesystem with it to see how it behaves under those conditions.
by bryantwolf | 2026-02-02 19:05:37+00:00
Shoot a way to contact you to tecoholic at bawolf.com and I'll invite you to a copy of the board you can duplicate and mess around with.

I appreciate the sentiment and I agree. While I think there are countless humans who could do way better, I was never going to hire someone to illustrate this. Furthermore, I don't think it reads very interestingly without the images. I doubt it would have even gotten published.

But now thousands of people have seen it, it's shown that it can strike a chord. Maybe it is worth polishing a little more. It would be adorable as a small book
by s-a-p | 2026-02-02 19:05:45+00:00
Small prop-trading firm | Senior Quant/Data Scientist | Onsite | Paris, France | Full-time | Competitive comp

Hi HN, we're a small (currently 6 people) proprietary trading firm focused on prediction markets & sports. If you love maths, great software, sports and want lots of ownership - come join us! We're looking for someone with (i) experience in quant research at an established firm and/or (ii) extensive sports-analytics modeling work.

Apply by emailing draftpicks[at]kairos-research.ai with a quick line and CV/Github/Kaggle.
by boltzmann-brain | 2026-02-02 19:05:46+00:00
can Granule let me specify the following constraints on a function?

- it will use O(n) space where n is some measure of one of the parameters (instead of n you could have some sort of function of multiple measures of multiple parameters)

- same but time use instead of space use

- same but number of copies

- the size of an output will be the size of an input, or less than it

- the allocated memory after the function runs is less than allocated memory before the function runs

- given the body of a function, and given that all the functions used in the body have well defined complexities, the complexity of the function being defined with them is known or at least has a good upper bound that is provably true
by mindslight | 2026-02-02 19:06:04+00:00
Exactly. My understanding is that the manufacturers interpreted the clean air rules as conveniently requiring them to use digital restrictions management (explicit or even just tacit) to prevent tampering (aka repairing) your own equipment. Low-emissions diesel engines then get hated on for the "EPA requirements", with the immediate bad actor corporations sidestepping blame (as usual). Removing the initial motivation / excuse isn't going to get rid of those digital restrictions, openly document the systems, nor provide the tools required to work on them.

The way this is framed, it doesn't even sound like the goal is to affect this dynamic at all. Rather it's to create a loophole of "temporarily" bypassing emission systems, such that if you delete and get caught you can just pinky swear that it's temporary for a repair that you're about to complete real soon. So the only real goal seems to be implicitly rolling back emissions enforcement across the board.

Actual right to repair action would focus on making it so individuals are able to self-repair the emissions control systems to function as designed. So this really just seems like yet another instance of a lofty idea being abused as cover for the destructionist agenda.
by PaulRobinson | 2026-02-02 19:06:30+00:00
That sounds exhausting.

I'd rather spend my time thinking about the problem and solving it, than thinking about how to get some software to stochasticaly select language that appears like it is thinking about the problem to then implement a solution I'm going to have to check carefully.

Much of the LLM hype cycle breaks down into "anyone can create software now", which TFA makes a convincing argument for being a lie, and "experts are now going to be so much more productive", which TFA - and several studies posted here in recent months - show is not actually the case.

Your walk-through is the reason why. You've not got magic for free, you've got something kinda cool that needs operational management and constant verification.
Show HN: Mortgage Payment Calculator (fast, no signup)
by Aaevro | 2026-02-02 19:06:39+00:00
I built a mortgage payment calculator for people who just want clean, fast numbers without the lead-gen friction.

https://toolvault.co/tools/mortgage-payment-calculator

It started because every time I tried to run mortgage scenarios, I hit one of these problems:

Forms that demand email/phone before showing results

Slow, ad-heavy pages that feel like landing funnels, not tools

Calculators that only show principal + interest, ignoring real monthly costs

What this tool does:

Calculates full monthly housing cost: principal, interest, property tax, insurance, PMI, and HOA fees

Shows an amortization-style breakdown so you can see how payments shift from interest to principal over time

Lets you quickly tweak: home price, down payment, interest rate, loan term, and extra monthly costs

Works well on mobile and desktop, no account or email required

A few design decisions I made:

No popups, no dark patterns, no “talk to a lender” wall

Reasonable ad density only (I do monetize it, but tried hard not to make it miserable)

Defaults tuned for 2026-style rates but everything is editable

Things you can use it for:

“How much house can I realistically afford?” style scenarios

Comparing 15 vs 30 year terms and seeing total interest difference

Testing how much a bigger down payment really changes the monthly

Quick refinance what-ifs (set down payment to 0 and plug in your current balance + new rate)

I’m a solo dev working on a suite of small, focused tools, and this is one of them. The account posting this is ~20 days old with basically no karma, so I’m very open to blunt feedback on both the product and how I’m launching it.

I’d love feedback on:

Is the UX clear, or does anything feel confusing or distracting?

Are there any must-have inputs I’m missing (e.g. specific tax/insurance assumptions, regional quirks)?

Would you trust / actually use this when evaluating a home or refinance, and if not, what’s missing?

If this is useful to you, I’m happy to iterate based on your comments and ship improvements quickly.
by mothballed | 2026-02-02 19:06:44+00:00
This must explain why when I shopped for a tractor, 25hp was a cutoff where prices change significantly.

I own one with a 35hp engine detuned to 25hp to legally bypass emission regulation. Just a fuel regulator screw turned down and timings modified. The exact same tractor with the screw turned up is about 10% more expensive and has a DPF which decreases reliability. The uptuned model also has an ECU and is harder to repair, whereas non-emission model can be (is) almost purely mechanical.
by TZubiri | 2026-02-02 19:07:18+00:00
So this website is filled mostly with tech founder adjacent users, so my pitch is a bit specific to that market.

If you are a startup founder trying to develop a global product, I'm offering country-specific localization (Argentina currently), everything from language and dialect localization, to integration of local methods and support channels to payment/support aggregators.

Want to dominate the world? Try bottom up, perfecting a single market, instead of top down, aiming everywhere and seeing what sticks.

Why not focus on the US? You can try both for sure, but a smaller country is less competitive and easier to get a big win on (niche domination). You won't make as much money, GDP per capita is about one third of the US, but it's still profit, not VC-backed losses.

I work on a small fixed fee + commission basis. The goal is to only hit it big if you do too, and live on rice otherwise.

If that's sounds interesting, you can send me an email at localization@tomaszubiri.com, sure, but ideally you can write me a message in this thread directly.

Location: Argentina
Remote: Yes
Willing to relocate: No, can travel on B1, but strictly no work.
Technologies: Backend/Sysadmin heavy, CPython mainly, can read and modify C#/Java/Node, and JS/TS/React frontends. Linux VM/Container based hosting. PSQL. Raw OpenAI API.
Resume/CV: https://drive.google.com/file/d/1YtGhgZOstKibmWzyibCbK1ZBN3n1GCZr/view?usp=sharing
Email: localization@tomaszubiri.com
by adam_arthur | 2026-02-02 19:07:23+00:00
LLMs have clearly accelerated development for the most skilled developers.

Particularly when the human acts as the router/architect.

However, I've found Claude Code and Co only really work well for bootstrapping projects.

If you largely accept their edits unchanged, your codebase will accrue massive technical debt over time and ultimately slow you down vs semi-automatic LLM use.

It will probably change once the approach to large scale design gets more formalized and structured.

We ultimately need optimized DSLs and aggressive use of stateless sub-modules/abstractions that can be implemented in isolation to minimize the amount of context required for any one LLM invocation.

Yes, AI will one shot crappy static sites. And you can vibe code up to some level of complexity before it falls apart or slows dramatically.
by Induane | 2026-02-02 19:07:28+00:00
Location: Perry KS

Remote: yes

Willing to relocate: only for something super awesome

Resume: https://drive.google.com/file/d/1R9NaXzbdSs6crUlB60biGWoOKvL...

Email: oldspiceap@gmail.com

Technologies: Django, HTMX, _HyperScript, Tailwind, html, CSS, jQuery, Python, Flask, minikube, AWS lambda (but please no), Fly.io, Railway, ETL, Jenkins, GitHub CI, etc...

I've been using Django since the pre 1.0 days since it originated where I live. It's been my goto framework for ages.
by bigstrat2003 | 2026-02-02 19:07:53+00:00
And on the other hand, I have no sympathy for the Unix philosophy. I value results, not dogma, and managing servers with systemd is far more pleasant than managing servers with sysvinit was. When a tool improves my sysadmin life as much as systemd has, I couldn't care less if it violates some purity rule to do so.
by mikestew | 2026-02-02 19:07:56+00:00
It wouldn't take much to have more violent crime in Seattle, according to my gut (yeah, I know, "show me the numbers"). Granted, it's probably gotten worse since we moved here 25 some years ago, but coming from places like my old hometown of Indianapolis, Seattle didn't have any place I wouldn't feel comfortable walking at night. Again, it's changed a lot since (there are some areas I would avoid at 2 a. m. now), but I still feel much safer in Seattle than other large cities.
by countWSS | 2026-02-02 19:08:24+00:00
There is a point in there, long-range analysis and debugging without AI
is much harder, AI spots lots of non-obvious stuff very fast.
If we consider "spotting non-obvious flaws" a skill, this will
atrophy as beginners will learn to use AI to scan code for
flaws,it is effective but doesn't teach anything, reading long blocks
of code and mentally simulating it is a incredibly valuable skill
and it will find stuff AI misses(something that is too complex, e.g. nested/recursive control flow,async
and co-routines/threads interacting,etc), AI goes for obvious stuff first and
has to be manually pointed to "identify flaws, focusing on X".
by fractionalceo | 2026-02-02 19:08:29+00:00
Fractional CEO for U.S. market expansion. I help companies enter, scale, and win in the United States.

- Strong Tech Background (STEM PhD)

- Business Background (MBA and VC Experience)

- Understand IP, hold patents

- Strong business development skills

Location: New York City

Remote: Yes

Compensation: Happy to discuss.

Résumé/CV: available on request.

Email: 9e828e10-7ad0-459d-bfed-b2f70ccee13d@anonaddy.me
Show HN: Deterministic event logs with explicit gap markers (NDJSON proof)
by Slaine | 2026-02-02 19:09:17+00:00
I’ve been working on a small deterministic event-capture kernel and wanted an external sanity check.

This repo intentionally contains only two NDJSON files — no code, no UI:

a clean run

a run where I intentionally removed a persisted segment before export

In the second file, the system emits an explicit gap marker instead of crashing or silently truncating data, then continues exporting deterministically.

I’m honestly not sure how novel or useful this is in practice, so I’d appreciate feedback from people who work with logs, traces, or audit systems.