MurphyA/hacker-news huggingface dataset:
by eks391 | 2026-03-03 14:48:02+00:00
I had a legal appointment recently to update my Will, Medical Directive, etc. The lawyer had gemini opened up on the left half of her screen and the legal docs on the right, which did not instill confidence. Every time she showed lack of confidence in an answer to a question of mine, I was extra paranoid, although I tried to make sure I wasn't going to discount her strictly for having the LLM open, as she didn't use it during our appointment, to my recollection. Nevertheless while I usually check and update these forms on a 5yr basis, I plan on doing the next one much sooner in because that appointment did not give me the assurance I wanted.

I'm glad it wasn't for anything pressing or in support of a lawsuit
by jghn | 2026-03-03 14:48:10+00:00
> The "usable screen" is where my thumb can reach, not whatever idea people have in their heads about the total size of the phone or anything, truthfully.

In the early days of the phablets I had an observation that has mostly held true all these years later. At the time I noticed you could accurately predict whether someone wanted the large or small form factor based on their usage patterns. Did they tend to use their device while sitting down? Or did they tend to use their device while on the move? This indicated whether or not they typically used 2 hands vs 1 hand.

It turned out the 2 handers dominated the market, unfortunately for people like you & I.
by meisel | 2026-03-03 14:48:24+00:00
What % of users actually care that much about local LLMs? It appears to still be an inferior (though maybe decent) service compared to ChatGPT etc., and requires very top-end hardware. Is privacy _that_ important to people when their Google search history has been a gateway to the soul for years? I wonder if these machines would cost significantly less (or put the cost to other things, e.g. more CPU cores) without this emphasis on LLMs.
by mccoyb | 2026-03-03 14:48:29+00:00
Agreed, there's no doubt this will happen. It's likely already happening (it feels safe to assume that Anthropic is curating data from the data they record from Claude Code?)

As far as I understand RL scaling (we've already maxxed out RLVR), these machines only get better as long as they have expert reasoner traces available.

Having an expert work with an LLM and successfully solve a problem is high signal data, it may be the only path forward?

My prior is that these companies will take this data without asking you as much as they can.
by hglawrence | 2026-03-03 14:48:33+00:00
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by bluGill | 2026-03-03 14:48:33+00:00
Linux is less then 40 years old. Most of the people who designed it are still alive. How will the situation be in 40 years when the current maintainers are dead? (reiserfs comes to mind - it was just becoming great when [censored] and filesystems in linux went backward for many years, will that be allowed to happen next time?)

There are systems still in use from the 1960s (maybe before) - the original authors are at least retired and likely dead. I question how well the replacements understand all that. Sure they have had to dig in and understand some parts, but what about the parts that just keep working and don't need new features?
Show HN: GovMatch – Daily government contract alerts matched to your business
by realdanigil | 2026-03-03 14:49:06+00:00
I built GovMatch to solve a problem I kept running into: finding relevant government contracts on governments sites is painful and time-consuming.

GovMatch ingests every new opportunity from SAM.gov (US federal) and TED (EU public tenders) daily. It creates embeddings for each tender, matches them against your business profile using cosine similarity, and sends you a daily email with your top matches.

Stack: Next.js 14, PostgreSQL + pgvector, OpenAI text-embedding-3-small, Prisma, Stripe, Vercel.

Free 7-day trial, no credit card. Would love feedback on the matching quality and UX.
by jeroenhd | 2026-03-03 14:49:14+00:00
The age verification system is being developed with an EU-wide standard. It's supposed to become part of the EU digital wallet initiative.

The trick with age verification is to do it in a way that doesn't allow tracking by the service itself (i.e. returning the same token/signature every time) or from the government (shouldn't see what sites you use when). That has pretty much been solved now, though.
by zokier | 2026-03-03 14:49:15+00:00
Classic WIMP paradigm arguably lost dominance already in late 00s/early 10s. Windows 8, Office 2007, Gnome 3, iPhone, web applications, all were exploring new stuff and breaking conventions. And then you also have the skeuomorphism fad, and lots of other little things.

It is also noteworthy that even at the height of WIMP era lot of user interaction was driven by keyboard shortcuts, arguably even more than these days. In many ways WIMP was training wheels instead of the primary interaction model.
by rpdillon | 2026-03-03 14:49:43+00:00
Opening sentences:

> Shock! Shock! I learned yesterday that an open problem I’d been working on for several weeks had just
been solved by Claude Opus 4.6— Anthropic’s hybrid reasoning model that had been released three weeks
earlier! It seems that I’ll have to revise my opinions about “generative AI” one of these days. What a joy
it is to learn not only that my conjecture has a nice solution but also to celebrate this dramatic advance in
automatic deduction and creative problem solving.
by mschuster91 | 2026-03-03 14:49:54+00:00
> And no power adapter included.

To be fair, ever since the advent of high power USB-C PD that really, really is not needed any more, way too many power bricks are effectively e-waste.

People already have USB-C power bricks and docks everywhere and unlike pre-USB-C generations, you can use them not just across different generations of hardware, but across vendors as well.
by dathinab | 2026-03-03 14:49:55+00:00
> slapping an overlay of someone looking incredulous over someone else's video is considered

it really isn't, you actually have to provide enough relevant commentary for it to be transformative

it just looks like that because

- not every claim leads to a take down, more common is that the advertisement revenue is redirected to the owner of the original video. That is very very common, especially on YT, but not really visible as viewer.

- there are enough copyright holders which overall tolerate reactions, even if they don't fall under fair use.

- Sometimes people claim it doesn't fall under fair use when they don't like how the reaction is done, but that doesn't mean it wouldn't be ruled fair uses if it came in front of court.

- Sometimes people reacting have explicit permission from the original author to do so, no matter if it counts as fair use or not.

and maybe most relevant here, pretty much all large platforms have a tendency to favor the person claiming the copyright violation over the person which reacted to it. To a point there is is sometimes a big problem if systematically abused with false claims.
by danso | 2026-03-03 14:50:09+00:00
Plagiarism hurts not only the original author (in this case, I don't think we have to worry about the LLM), but also the reporter's audience, who has an expectation that the writer's reporting and analysis are original and based on the writer's own research and observations. At the very least it's a theft of the reader's time, if I wanted an LLM's perspective on a topic, I'd generate it myself

One of the things left unsaid in Edwards's apology [0] was whether he read the blog post that is the entire raison d'etre of his story. It's not like the story purported to do anything other than incorporate publish blog posts. So in his overworked and sickened state, how did trying out an "experimental Claude Code-based AI tool" substantially save him time versus jotting notes while ostensibly reading the source material himself

[0] https://bsky.app/profile/benjedwards.com/post/3mewgow6ch22p
by signorovitch | 2026-03-03 14:50:15+00:00
> This isn't an SEO problem. This is a Google problem.

I've tested on a few of the big search engines, and nanoclaw.dev is never in the first page.

Gemini was also unable to find the .dev, even in "Research Mode." The only way I was able to get a direct link to nanoclaw.dev was with chatgpt, which found it by scraping the GitHub (it also spat out links to a couple of other copies it found from google.)

Seems this is a wider SEO issue, one which infiltrates even the technology supposed to replace it.
by myrmidon | 2026-03-03 14:50:22+00:00
Its not clear to me that this is generally worthwhile, even if it is very cheap per-shot; 6 targets at ~100m/s are already enough to overwhelm if the laser gets to engage those targets over 2km of their flight path (with a 4s dwell time).

If your laser emplacements are somewhat expensive and only lightly armored, you might end up in a situation where your opponent happily throws cheap drones, 10 at a time, straight at your defense and still comes out way ahead financially.

Israels situation is quite unique in that it is very small, but gets exposed to imprecise indirect fire a lot, so what works for them might be a really bad investment for the restt of the world.
by david-rodriguez | 2026-03-03 14:50:25+00:00
Hey HN, I'm the builder. The core insight behind this is simple: AI doesn't need your data to analyze it — it only needs your schema.

When you ask "what's the average order value by region?", the LLM just needs to know there's an order_value column (decimal) and a region column (varchar). It generates SQL from that. DuckDB-WASM executes the query locally in your browser. The AI never sees a single row.

Architecture:
- Layer 1: DuckDB compiled to WebAssembly runs in a Web Worker. Files load via the File API — no upload, no network request.
- Layer 2: Schema extraction (DESCRIBE table + information_schema.columns) — column names and types are all that leaves the browser.
- Layer 3: LLM generates SQL from schema + your question. SQL goes back to Layer 1 and runs locally.

For the free tier, even the AI runs locally (WebLLM/Ollama), so the entire pipeline is air-gapped.

The hard part was making multi-step analysis work. A single SQL query rarely answers a real question. So I built a LangGraph agent that chains queries — runs one, inspects the results, decides what to investigate next. "Why did churn spike in Q4?" might trigger 4-5 queries before it pieces together the answer.

What I got wrong initially: schema alone isn't always enough context when column names are cryptic (col_a, val_1). The fix was auto-profiling — basic stats like distinct counts, min/max, sample values — metadata about the data, not the data itself.

You can verify the privacy claim yourself: load a file, open Chrome DevTools → Network tab, and confirm no requests carrying your data.

Live demo with sample data (no signup): https://app.queryveil.com/demo

Happy to answer any questions about the architecture, DuckDB-WASM performance limits, or the schema-only prompting approach.
by iranu | 2026-03-03 14:50:28+00:00
Hi HN, I built this. It's been in production across 500+ websites.

We're a research group that studies online communications. We needed to scrape hundreds of sites regularly — news,
blogs, forums, policy orgs — and maintain all those scrapers. At 10 sites, individual scrapers were fine. At 200+
we were spending more time fixing broken scrapers than doing actual work. Every redesign broke something, every new
site meant another scraper from scratch.

ScrapAI flips the cost model. You tell an AI agent "add bbc.co.uk to my news project." It analyzes the site, writes
URL patterns and extraction rules, tests on 5 pages, and saves a JSON config to a database. After that it's just
Scrapy — no AI in the loop, no per-page inference calls. ~$1-3 in tokens per website with Sonnet 4.5, not per page.

Cloudflare was the hardest part. Most tools keep a browser open for every request (~5-10s per page). We use
CloakBrowser (open source, C++ stealth patches, 0.9 reCAPTCHA v3 score) to solve the challenge once, cache the
cookies, kill the browser, and hit the site with normal HTTP. Re-solves every ~10 minutes. 1,000 pages in ~8
minutes vs 2+ hours.

The agent writes JSON configs, not Python. An agent that writes and runs code can do anything an unsupervised
developer can — one prompt injection from a malicious page and you have a real problem. JSON goes through Pydantic
validation before it touches the database. Worst case is a bad config that extracts wrong fields. This also makes
it safe to use as a tool for Claws — structured web data without arbitrary code execution.

~4,000 lines of Python. Scrapy, SQLAlchemy, Alembic. Apache 2.0. We recommend Claude Code with Sonnet 4.5 but it
works with any agent that can read instructions and run shell commands. We tried GLM 4.7 and it performed
similarly, just slower.
by ZitchDog | 2026-03-03 14:50:33+00:00
Saying that becoming an EM is "moving away from tech" is crazy. As an EM you will be steeped in tech, just as you would be as an IC. It just may not be the tech you want to be steeped in. Again, same as an IC. In either case, unless you are working in AI, you will need to "play" with things like OpenClaw in your spare time.

The real reason not to become an EM in 2026 is because AI makes our jobs 10x harder.
by jrswab | 2026-03-03 14:50:33+00:00
Hi everyone, I built Axe because I got tired of the "everything is a chatbot" pattern in AI tooling.

Axe treats LLM agents like Unix programs. Each agent is a TOML config with a focused job such as a code reviewer, a log analyzer, or a commit message writer. You run them from the CLI, pipe data in, get results out. Chain them together. Trigger them from cron, git hooks, CI.

Whatever you already use.

Some things that make it different:

- No framework lock-in: it's a single binary with two dependencies
- Stdin piping: `git diff | axe run reviewer` just works
- Sub-agent delegation: agents can call other agents via tool use
- Persistent memory: agents remember across runs without you managing state (if you need)
- Path-sandboxed tools: file ops are locked to the agent's working directory

Written in Go because I wanted fast cold starts and easy distribution. No daemon or GUI.

This is early stage to solve a need I have. I would love feedback on the agent config format and the skill system.

What's missing? What would make you actually use this?
by valentinza | 2026-03-03 14:50:35+00:00
Location: Cape Town, South Africa

Remote: Yes (preferred)

Willing to relocate: Open to discussion

Technologies: TypeScript, JavaScript, Node.js, React, Next.js, PostgreSQL, Prisma, GraphQL, REST APIs, Tailwind CSS, AWS (Lambda, S3), Redis, Payload CMS, Docker, Git, CI/CD (Vercel, GitHub Actions), Sentry, Python

Résumé/CV: https://linkedin.com/in/joshuatwycross

Email: joshuatwycross@gmail.com
Show HN: PingMeBud – A macOS app that listens to meetings so you don't have to
by spaceman3 | 2026-03-03 14:51:07+00:00
I'm a developer who spends way too much time in meetings, and most of the time I'm not needed. But I have to stay there half-listening in case someone mentions me. Because of that, I can neither do actual work nor zone out in peace.

I realized I needed a way to safely not care about my meetings. So I built an app.

PingMeBud lets you completely zone out of a meeting and pings you when someone says your name or any keyword(s) you care about. The idea is simple: You join a meeting, hit start, minimize, and go do deep work (or go make coffee). When a keyword is detected, you get a native macOS notification with enough surrounding context to jump back in without looking lost. There's also an optional full-screen red border flash that grabs your attention even if you're deep in another app.

Technical details:

* Uses Whisper (local AI) to transcribe meeting audio purely as a means to detect keywords. Optimized for Apple Silicon (M1-M4).

* Audio captured via ScreenCaptureKit (system audio only, not your mic). You can even have your speakers muted and still get alerts.

* Everything runs locally. Nothing leaves your machine. Transcripts live in RAM only and are wiped when you end the session or close the app.

* No cloud, no accounts, no telemetry.

* Try it free for 7 days, then $29 one-time

* Only network call: a license ping to Polar.sh every 7 days. Between pings, the app can work fully offline.

* Supports wildcard * keyword matching (e.g., meet* for "meeting", "meetings", "meetup”, or *sync for `async`, `nsync` etc).

* You can also track silences, perfect for when someone asks a question and is waiting for a reply.

* For macOS 12.3+, Apple Silicon required. Made in Electron + React.

It's perfect if you're the kind of person managing lots of meetings, or multiple overlapping meetings (perfect for OE devs).

Happy to answer any questions!
Show HN: FakeScan – Free AI fake review detector (Fakespot alternative)
by crawde | 2026-03-03 14:51:12+00:00
After Fakespot was acquired by Mozilla and then shut down, I wanted a simple tool to check if Amazon product reviews are genuine. So I built FakeScan.

Paste any Amazon product URL → AI analyzes the reviews for suspicious patterns (review clustering, generic language, incentivized reviews, timing anomalies) → gives you a trust score 0-100 with specific red flags.

Tech stack: Next.js, Groq API (Llama 3.3 70B for analysis). No login, no data collection, completely free.

Would appreciate any feedback on the detection algorithm or UX.
by klabb3 | 2026-03-03 14:51:37+00:00
Contrary to HN popular belief, there are neither incentives nor benefits to building native ui apps, for neither consumer nor professional apps. The exception is apps that only make sense on a single platform, such as window management and other deep integration. On iOS/macos you have a segment of indie/smaller apps that capture a niche market of powerusers for things like productivity apps. But the point is it makes no sense for anything from Slack, VSCode, Maya, DaVinci Resolve, and so on, to build native UIs. Even if they wanted to build and maintained 3 versions, advanced features aren’t always available in these frameworks. In the case of Windows, even MS has given up on their own tech, and have opted to launch webview based apps. Apple is slightly more principled.
by mapt | 2026-03-03 14:51:42+00:00
If it makes seven figures of revenue, there is a real system in place to litigate copyright disputes between corporations. Two kaijiu summoned by ritual magic to fight for the future of the franchise / giant pile of money.

Everything else in the entire system is just bits of monster and building falling randomly. We know if we put the whole population under strict scrutiny ("laser eyes" + "lightning wings"), it would kill every last one of them; every teenager is theoretically criminally liable for the GDP of the Milky Way, a series of violations beginning with a performance of The Birthday Song at their first cake day. Even hiring the cheapest defense lawyer would bankrupt nearly any family in the nation. So we try imperfectly to dodge copyright, hopefully by a couple zip codes, and live in a state of nature on the ground.
by zamadatix | 2026-03-03 14:52:02+00:00
I'm using less than 100 GB of total storage on my phone. I'm not sure how your laptop is supposed to come into that but 256 GB is already plenty for the smallest possible option to select, doubly so since this is the budget variant.

The bogus part with the storage here is instead on needing to pay $200 more just to get to 512 GB.
by satvikpendem | 2026-03-03 14:52:03+00:00
The next macOS will be touch screen centric with elements getting bigger when you're close to touching them, rumors say. That being said, I run Tahoe and it works perfectly fine to me, I am not sure what issues people have with it. Sure, some corner radii aren't exactly the same but I honestly couldn't give less of a shit as long as it runs the programs I need.
by user3939382 | 2026-03-03 14:52:16+00:00
And your native CLI tools will continue to be from 2011 with 0 attention paid to the dev experience until it’s Swift, and we’ll continue to lock you out of running programs from other human beings we didn’t approve without a 6 step ritual in the OS. Oh and all apps will continue to constantly phone home i.e. pay for the machine so Google Adobe and Microsoft can run updaters and telemetry on it all day.
by MarkusWandel | 2026-03-03 14:52:35+00:00
Bike after work! (own latitude - 45.4N). In the summer the days are long enough that, with daylight saving time, you can be an office slave and still have time for a significant bike ride after work (having biked to work in the first place).

Also at this latitude, without daylight saving time, the sun would be waking you up at 4AM! Totally happy with the time switch, but if it has to go, yes, give me daylight saving time all the time. Winter is dark anyway.
by palmotea | 2026-03-03 14:52:57+00:00
> "How?" <- It shows a lack of curiosity?

We're talking about a codebase, here. How does "lack of curiosity" about LLMS "make a mess"

> "probably know enough" <- that's exactly the point of the question, is the candidate clueless about AI/LLM.

Probably knows enough about what's a good vs bad change. If you're "clueless about AI/LLM" but know a bad change when you see one, how do you "make a mess?"

It's 2026, even a developer who's never touched an LLM before has heard about LLM hallucinations. If you've got programming knowledge, you should know how to make changes (e.g. you're not going to commit 200 files for a tiny change, because you know that doesn't smell right), which should guard against "making a mess."

My point it doesn't seem reasonable to assume symmetry here. That if you don't know both things, you'll make a mess. That also implies everything built before 2022 was a mess, because those developers new programming but not LLMs, which is an unreasonable claim to make.
by ModernMech | 2026-03-03 14:53:29+00:00
Exactly 0 of the artists I know “generate” their images outright - AI generations are always part of a pretty typical creative workflow.

The way I think of it is this: typical art creation starts from a blank canvas and the artist adds layer upon layer of what you want. Eventually something coherent (to the artist at least) pops out.

AI art starts from a canvas which is filled, and the artist changes the filled canvas to meet their perspective. It’s like those projects where people take a vintage painting and add Pokémon to it. Mostly the people I see using AI art are traditional artists who view it as a new medium in their process, very few “generate” and call it a day.
by stetrain | 2026-03-03 14:53:32+00:00
> GB should switch to UTC+0 all year. UTC+1 all year was tried (1968-1971) and was very unpopular in Scotland. School hours are roughly 09:00 till 15:00 and they only get about 6 hours of sunlight in winter up north so local noon has to be at around 12:00.

Couldn't you adjust the school schedule by an hour to achieve the same effect?