MurphyA/hacker-news huggingface dataset:
What do you expect from a Turkey-based hosting provider?
by dpnet | 2026-02-08 11:27:46+00:00
Hi everyone,

I’m currently working on building a hosting and VPS infrastructure based in Turkey, targeting global users who are looking for cost-efficient but reliable alternatives.

Before officially launching, I would genuinely like to understand what developers, sysadmins, and infrastructure users would expect from a provider operating from this region.

Some things I’m especially curious about:

Network performance expectations (EU / Asia routing)

Pricing vs reliability balance

Support expectations

Transparency and trust factors

Features or pain points you feel current providers don’t solve well

This is not meant as promotion — I’m mainly looking for honest feedback and real-world expectations from the community to help shape the service in a better way.

Thanks
by omarreeyaz | 2026-02-08 11:28:59+00:00
I’m not sure I buy this. GPT-5.2 codex still makes design errors that I as an engineer have to watch and correct. The only way I know how to catch it and then steer the model towards a correction is to be able to read the code and write some code into the prompt. So one can’t abstract programming language away through an agent…
by watwut | 2026-02-08 11:30:02+00:00
None of what you wrote is contradiction to what OP wrote. They found self delusion, emptiness of claims and outrught lies of certain class of people to not be worth of respect.

Just explained it can be fun and involves trade offs. Well ok, but these claims of saving world are still empty bullshit. It is perfectlt fine to be aware of that fact.

We dont have to pretend grandiose claims of Musks and Altmans and Bezos and whatever management trues to please them are reflections of their search of positive impact.
Show HN: Google Maps but for your repo (Open Source)
by zacharykapank | 2026-02-08 11:30:21+00:00
Hi HN, I built Repomap, a tool that generates interactive architecture diagrams from any GitHub repository.
It uses a Rust + tree-sitter engine to analyze the codebase and produces a D3-based graph UI with clustering, zoom/pan, and live progress updates
by BiteCode_dev | 2026-02-08 11:30:36+00:00
Also, name, address and phone numbers let you do so many scams.

A friend of mine received a very well-crafted physical letter at his home about resetting his cryto ledger.

He is now very stressed because there are news about people with crypto getting abducted.

And with the ledger leak they have:

- his name and address

- how much money he has on his ledger
by g947o | 2026-02-08 11:31:21+00:00
Not everyone thinks this way. For sure, I don't enjoy every repetitive/tedious tasks or having to put out fires under time pressure, but I happen to be someone who enjoys solving problems. Many times, I helped others find and understand the root causes of bugs after they spend hours cluelessly debugging. (And often LLMs are completely lost as well, provide terrible suggestions or fixes) In an extreme case, I helped fix a bug an entire team of people (of several people) failed to address. And I always learn from such experiences, try to come up with solutions that would prevent it from happening in the first place, and think through the whole thing to be even more efficient at Debugging.

The point is that, LLMs can't always do all of this, they don't necessarily help you think about the root causes or address the human part of the causes, they don't help you build technical skills that you can use in the future. They fix it and it's done (possibly with a terrible, short time solution), unless the human wants to dive deep. For sure this happens all the time, in fact probably more than not, but LLMs are not going to help the situation.
by manuelabeledo | 2026-02-08 11:31:54+00:00
Using the managed runtime analogy, what you are saying is that, if I wanted to benchmark LLMs like I would do with runtimes, I would need to take the delta between versions, plus that between whatever memory they may have. I don’t see how that helps with reproducibility.

Perhaps more importantly, how would I quantify such “memory”? In other words, how could I verify that two memory inputs are the same, and how could I formalize the entirety of such inputs with the same outputs?
Show HN: AI Perks – A curated list of free AI credits and deals for developers
by artluko | 2026-02-08 11:32:30+00:00
Hi HN,

I built Get AI Perks to solve a problem I faced myself: keeping track of free credits, grants, and deals for AI tools is painful. Most "perk" lists are hidden behind expensive paywalls or buried in incubator intranets.

I wanted to make a clean, public dashboard where developers can easily find valid offers for tools like OpenAI, Anthropic, Cursor, Deepgram, and others.

Key Features:
- Approval Index: I try to track how likely you are to actually get the perk (High/Average/Low approval rates).
- Search & Filters: Filter by category or provider (e.g., "Free", "OpenAI", "Hosting").
- Transparency: Detailed instructions on how to apply for each credit.

The site is free to browse. I use it myself to track new offers as they pop up.

Link: https://getaiperks.com

For AI Companies & Incubators:
- List your perk: If you run an AI tool and want to offer credits to developers (I also feature new perks in my newsletter), fill out this form: https://form.getaiperks.com/listing

- White-label for Accelerators: If you manage an incubator or community and want a branded perks dashboard for your startups, I offer a white-label solution: https://form.getaiperks.com/vc-whitelabel

Would love your feedback on the UX or any perks I'm missing!
Show HN: Tandem – An open-source, local-first AI workspace (Rust and React)
by frumu | 2026-02-08 11:32:32+00:00
Hi HN,

I’m the solo developer behind *Tandem*, a local-first, zero-trust AI workspace.

I built this because I was tired of "renting my intelligence" to cloud providers. I wanted a workspace that felt like a real tool, not just another chat wrapper—one where my "second brain" actually lived on my machine, fully encrypted, and under my control.

While big tech is releasing closed, Mac-only tools (like the recently announced Anthropic Cowork), I believe the future of AI productivity should be open, transparent, and cross-platform.

*What makes Tandem different?*

* *Local-First "Brain":* It’s not just an API client. It has a built-in vector database (`sqlite-vec`) and a long-term memory engine running locally in Rust.
* *Zero-Trust Security:* Everything is stored in an encrypted "Vault" on your drive (using Argon2/AES-GCM). No telemetry, no data leaking to training sets.
* *Modular "Packs" System:* This is the coolest part—you can "install" domain expertise. I built a system where Markdown/YAML configs turn the app into a specialized tool (e.g., a Bio-informatics researcher, Legal analyst, or Screenwriter) with one click.
* *Full MCP Support:* It supports the Model Context Protocol out of the box. You can connect any local or remote MCP server to give the AI direct access to your internal tools and databases.

*The Tech Stack:*
* *Core:* Rust (Tauri v2)
* *Frontend:* React + Tailwind + Vite
* *Data:* SQLite + Vector Extensions

I’ve been working on this solo and would love your feedback on the architecture, especially the "Packs" system.

*You can download the latest installers for Windows, macOS, and Linux here:*
https://github.com/frumu-ai/tandem/releases

*Repo:* https://github.com/frumu-ai/tandem
*Docs:* https://tandem.frumu.ai/

Thanks for checking it out!
by GuestFAUniverse | 2026-02-08 11:32:42+00:00
Already deinvested six figures. Don't believe this will end soon enough.

1. The orange pest and all his sycophants have to go!
2. Bro-ligarchies have to take a huge hit and be cut down like Bell -- we need a 1982 more like a 1984.
3. POTUS has to be severely limited. (e.g. currently ridiculous pardoning has to be controlled by 2/3 majority;and become a serious act of relevant mercy again).
4. re-establish the dollar as a trustworthy currency.
5. fix anti-intellectual tendency and be a research superpower again.
-- whatever order.
by burnt-resistor | 2026-02-08 11:33:20+00:00
I guess OS seismic Ground-based Nuclear Explosion Monitoring (GNEM) is possible. Here's a high-level pdf slideshow about it and machine-learning processing. [0] Matlab-based MatSeis exists and the code part is FOSS. I guess it would take a moderate amount of software and hardware engineering effort to make a working, turn-key FOSS GNEM seismic detector. It seems prescient given the decline of warhead, missile, and test ban treaties.

Furthermore, in the proliferation arena, it's possible to map breeder reactors to rough regions using terrestrial antineutrino mapping like KamLAND and what was Borexino. These aren't really conducive to open source initiatives because of their civil engineering burdens of scale (unless one has a mine or a missile silo) and so need to be state/academic efforts until some clever engineering might make them possible (don't see how it's possible because of physics) on the surface and at smaller scales.

0. https://www.osti.gov/servlets/purl/1582524
by plz_throw | 2026-02-08 11:35:24+00:00
...

Is this for real, like do you really not see the difference? Not tryingto be snarky or sth, just struggle to comprehend this.

You compare apples to oranges here.
From a short look at the provided link, i guess it doesn'tcompare at all because it's something completely different?

Link you provided seems to be Samsung or OneUI only, integrated with Good Lock.
This seems to collect and present notifications together with the ability to search.
Does not seem to be open source.

DoNotNotify allows you to restrict apps to only sending you certain kinds of notifications.

They could supplement each other but you can't compare them as far as i'm concerned.
by Mordisquitos | 2026-02-08 11:35:31+00:00
Do you reside outside of the EU (and outside anywhere where GDPR equivalents are enforced)? Maybe that would explain it.

Under GDPR, a business has the obligation to inform users if they have been affected by a data breach. That could hypothetically explain why Substack would inform some users (those protected by GDPRish legislation) while keeping it quiet towards the rest of them.
by intended | 2026-02-08 11:35:52+00:00
It is suggesting that we will move towards an “everything must have an API” world.

But at some point you get back to tests, because they are simpler to write.

This is a child of the “no handwritten code” rule. Since they can’t steer tests, they have to do something else to ensure quality.

This is only worth it if the added cost and overhead is cheaper than writing the code.

This seems like it will pull towards building a simulation of your firm, for the simulation to work? Or simulations of your process?
by guenthert | 2026-02-08 11:35:59+00:00
Er, what? The article describes a compiler for a not-quite-C programming language which fits entirely in 512B. Your project, if I see this correctly, can optionally produce code meant to execute as boot sector.

Both interesting projects, but other than the words 'boot sector', 'C' and 'compiler', I don't see a similarity.
by aurareturn | 2026-02-08 11:37:26+00:00
> If we consider the prompts and LLM inputs to be the new source code, I want to see some assurance we get the same results every time.

Give a spec to a designer or developer. Do you get the same result every time?

I’m going to guess no. The results can vary wildly depending on the person.

The code generated by LLMs will still be deterministic. What is different is the product team tools to create that product.

At a high level, does using LLMs to do all or most of the coding ultimately help the business?
by PlatoIsADisease | 2026-02-08 11:38:28+00:00
>What if the future of computing belongs not to artisan developers or Carol from Accounting, but to whoever can churn out the most software out the fastest? What if good enough really is good enough for most people?

Sounds like the cost of everything goes down. Instead of subscription apps, we have free Fdroid apps. Instead of only the 0.1% commissioning art, all of humanity gets to commission art.

And when we do pay for things, instead of an app doing 1 feature well, we have apps do 10 features well with integration. (I am living this, instead of shipping software with 1 core feature, I can do 1 core feature and 6 different options for free, no change order needed)
by bartvk | 2026-02-08 11:40:19+00:00
I deeply hate the people that use AI to poison the music, video or articles that I consume. However I really feel that it can possibly make software cheaper.

A couple of years ago, I worked for an agency as a dev. I had a chat with one of the sales people, and he said clients asked him why custom apps were so expensive, when the hardware had gotten relatively cheap. He had a much harder time selling mobile apps.

Possibly, this will bring a new era of decent macOS desktop and mobile apps, not another web app that I have to run in my browser and have no control over.
by pjmlp | 2026-02-08 11:40:30+00:00
I certainly already experienced crashes due to JIT miscompilations, even though it was a while back, on Websphere with IBM Java implementation.

Also it is almost impossible to guarantee two runs of an application will trigger the same machine code output, unless the JIT is either very dumb on its heuristics and PGO analysis, or one got lucky enough to reproduce the same computation environment.
by andrewstuart | 2026-02-08 11:41:15+00:00
I use AI/LLMs hard for my programming.

They allow me to do work I could never have done before.

But there’s no chance at all of an LLM one shotting anything that I aim to build.

Every single step in the process is an intensely human grind trying to understand the LLM and coax it to make the thing I have in mind.

The people who are panicking aren’t using this stuff in depth. If they were, then they would have no anxiety at all.

If only the LLM was smart enough to write the software. I wish it could. It can’t, nor even close.

As for web browsers built in a few hours. No. No LLM is coming anywhere new at building a web browser in a few hours. Unless your talking about some super simple super minimal toy with some of the surface appearance of a web browser.
by perching_aix | 2026-02-08 11:43:54+00:00
The actual blogpost: https://lichess.org/@/Lichess/blog/op1-partial-8-piece-table...

I was initially confused about the scope; here are the specifics in case anyone else is too:

> The tablebase covers those 8-piece positions that have at least one white and one black pawn that oppose one another, impeding each other’s path to promotion. We refer to such pawns as an opposing pair, and to positions that contain at least one opposing pair as op1.

On a related note, anyone knows a Mastodon proxy that doesn't require JS? Tried looking but couldn't find any good hosts.
by aurareturn | 2026-02-08 11:44:15+00:00
So where do I put my money now, knowing that everything's going to blow up?

Isn’t it obvious? Cash. Maybe treasuries getting a 3-4% yield. Maybe some Euros. Maybe some GBP. Maybe some Yuan. Maybe some Yen.

Then you deploy the cash into equities if/when it does crash so you can buy at an inevitable discount.

Personally, I think we are just at the beginning of the boom.
by WilcoKruijer | 2026-02-08 11:44:53+00:00
> You could take an editor session, a diff, or a pull request and automatically split it into a series of more focused commits that are easier for people to review. This is one of the cases where the AI can reduce human review labor

I feel this should be a bigger focus than it is. All the AI code review start up are mostly doing “hands off” code review. It’s just an agent reviewing everything.

Why not have an agent create a perfect “review plan” for human consumption? Split the review up in parts that can be individually (or independently) reviewed and then fixed by the coding agent. Have a proper ordering in files (GitHub shows files in a commit alphabetically, which is suboptimal), and hide boring details like function implementations that can be easily unit tested.
by fancyfredbot | 2026-02-08 11:45:37+00:00
> You get AI that can make you like 90% of a thing! 90% is a lot. Will you care about the last 10%? I'm terrified that you won't.

Based on the Adobe stock price the market thinks AI slop software will be good enough for about 20% of Adobe users (or Adobe will need to make its software 20% cheaper, or most likely somewhere between).

Interestingly workday, which is possibly slightly simpler software more easily replicable using coding agents is about the same (down 26%).
by rudolftheone | 2026-02-08 11:46:06+00:00
I’d argue that SF should never have "grown up." Look at the works considered classics today, like Heinlein, or even Star Trek. At the time of release, they were often dismissed as unserious (TOS famously had scientific blunders like planets at -290°C), yet they remain cultural touchstones because they prioritized vision over rigor.

SF used to excel at selling "dreams" to humanity. By trying too hard to be seen as "serious" or scientifically airtight, authors sacrificed the sense of wonder that allows for mainstream success. We traded mass appeal for academic validation.
by jakkos | 2026-02-08 11:46:27+00:00
- It is possible to write Rust in a pretty high level way that's much closer to a statically-typed Python than C++ and some people do use it as a Python replacement

- You can build it into a single binary with no external deps

- The Rust type system + ownership can help you a lot with correctness (e.g. encoding invariants, race conditions)
by PlatoIsADisease | 2026-02-08 11:46:44+00:00
I'm not caught up on fringe and irrelevant political groups, but I think Trump has a base completely different than a pre-2016 republican would align with.

Before you would have: Lifelong Red Team Republican(40%), non ideological Opportunists (30%), Ideological Crazies (30%)

Today you have: Lifelong Red Team Republican(40%), non ideological Opportunists (10%), Ideological Crazies For Trump (50%)

The GOP lost that upper-middle class(opportunists) and they lost ideological believers(pre 2016 crazies). Given how fast it was lost, I expect it to come back in some manner, but Trumpism is a cult of personality rather than ideology.
by rudolftheone | 2026-02-08 11:47:29+00:00
I wouldn't blame the demographic shift on female readers; I’d blame the accountants.

The publishing industry hasn't been killed by women, but by risk aversion. Truly groundbreaking SF requires betting on bold, novel, and often weird ideas. Financial departments and algorithms inherently favor safe, repetitive patterns (like romantasy formulas). You can't simulate the next "Dune" or "Neuromancer" on a P&L sheet, so publishers stopped trying.
by vee-kay | 2026-02-08 11:47:53+00:00
*hired as private army/security for rich powerful elites.

"Police force" was created not for liberty, justice, and public good - it was created to brutally quell poor folks rising against rich tyrants, it was created as a weapon to ensure the rich stayed rich.

History of how the world got the 40-hours 5-day work week:
https://firmspace.com/theproworker/from-strikes-to-labor-law...
by Joeri | 2026-02-08 11:48:12+00:00
Other book recommendations:

- valuable humans in transit by qntm

- the old axolotl by Jacek Dukaj (skip the tv show, it is very different from the book)

- the Agent Cormac series by Neal Asher

- the night’s dawn trilogy by peter f hamilton (his books are borderline fantasy, but he writes such deliciously monstrous villains)
by rudolftheone | 2026-02-08 11:48:39+00:00
I say this as someone who loves SF and deeply mourns its decline: I think the genre painted itself into a corner by focusing too much on "Hard SF." In my view, an obsession with technology has often been a crutch for weaker storytelling. The genre works best when it serves as a pretext to examine the human condition—like Vonnegut or P.K. Dick did.

By betraying the ideals of humanist writing in favor of technical accuracy, SF has been cannibalized by genres that actually focus on the inner lives of individuals, such as the booming "romantasy" sector.
What to Do After a Crypto Scam (USA) Intelligence Cyber Wizard Explained
by Forensics | 2026-02-08 11:48:43+00:00
What to Do Immediately After a Crypto Scam (USA) Intelligence Cyber Wizard Explained.
Intelligence Cyber Wizard provides professional Bitcoin recovery services for victims who have lost BTC to scams, hackers, or fake investment platforms. Using advanced blockchain forensics and cyber-intelligence techniques, the team helps trace, investigate, and recover stolen or lost Bitcoin across multiple countries, with a strong focus on United States cases.
Bitcoin is not anonymous or untraceable. Every transaction is permanently recorded on the blockchain, making it possible—under the right conditions—to track stolen funds, analyze transaction flows, and link scam wallets to exchanges, laundering services, or organized scam networks. Intelligence Cyber Wizard specializes in blockchain transaction tracing, scam wallet identification, exchange-linked recovery processes, cyber fraud investigation reports, and evidence preparation for potential fund retrieval.
The recovery process begins with a detailed case assessment, analyzing transaction hashes, wallet addresses, and scam details. This is followed by blockchain forensic tracking to map fund movement, scam network identification, and recovery action where feasible. The firm focuses on real investigations rather than automated tools or false guarantees.
They handle a wide range of Bitcoin-related scams, including fake investment websites, pig-butchering scams, romance scams, phishing attacks, wallet drains, unauthorized transfers, and mistaken payments to scam addresses. Recovery success depends on timing and traceability, and no legitimate service guarantees 100% results.
All consultations are confidential, and early action significantly increases recovery chances.
Schedule a mail session with our forensic team of professionals today. How to Approach Contacting our team: Search - “Intelligence Cyber Wizard” on Google or contact directly via – @ intelligencecyberwizard in the Teli,gam for the support and assistance.