MurphyA/hacker-news huggingface dataset:
by zeusk | 2025-11-04 18:02:59+00:00
> And yet, if I go to Youtube or just about any other modern site, it takes literally a minute to load and render, none of the UI elements are responsive, and the site is unusable for playing videos. Why? I'm not asking for anything the hardware isn't capable of doing.

but the website and web renderer are definitely not optimized for a netbook from 2010 - even modern smartphones are better at rendering pages and video than your atom (or even 8350u) computers.
by abcd_f | 2025-11-04 18:03:02+00:00
The market will correct before mid-terms next year. This is almost a certainty. By how much and when exactly - now, that's where the shorting profits are.

PS. Burry infamously made several more bets after the "big short", bets that misfired. That is, his record is far from being 100% right.
by fragmede | 2025-11-04 18:03:25+00:00
There are plenty of humans that will never "get" calculus, despite numerous attempts at the class and countless hours of 1:1 tutoring. Are those people not intelligent? Do they not think? We could say yes they aren't, but by the metric of making money, plenty of people are smart enough to be rich, while college math professors aren't. And while that's a facile way of measuring someone's worth or their contribution to society (some might even say "bad"), it remains that even if someone cant understand calculus, some of them are intelligent enough to understand humans enough to be rich through some fashion that wasn't simply handed to them.
by everforward | 2025-11-04 18:04:02+00:00
There's a sort of circular problem where basically every creator's videos are on YouTube, but many don't replicate their videos to other video platforms. Viewers won't leave in part because other sites lack content, creators won't cross-post because other sites lack viewers.

Some of that would be alleviated if we separated hosting/serving videos from the frontend and indexing, perhaps with a radio-like agreement on what the host gets paid for serving the video to a customer of the frontend. Frontend/index makes money off ads, and then pays some of that back to the host. Creators could in theory be paid by the video hosts, since views make the host money.

Then heavy handed moderation could be a disadvantage then, because they would be lacking content other sites have (though some of that content would be distasteful enough most frontends would ban it).
by daemonologist | 2025-11-04 18:04:47+00:00
webp is not much of an upgrade in my experience - jpegli pretty much matches it in quality/size while having better compatibility, and if you don't have the original photo and are working with old crusty jpegs it's often best to just leave them alone rather than re-encoding. jpeg-xl does make a noticeable difference, but it's not widely supported.
by lordnacho | 2025-11-04 18:05:38+00:00
I'm not sure the bet is as big as it seems from the headline. When you buy options, you pay a fixed premium to get the right to buy/sell a very large value of shares, called the notional. But the notional is not what you are losing if it goes wrong, you lose the premium. The premium can be quite a small number compared to the notional.
by ocdtrekkie | 2025-11-04 18:05:58+00:00
It is not that exciting primarily because I have limited time to work on it!

I run a copy of my home automation software (don't get excited, it's written in Visual Basic .NET) on a NUC in my car. The user interface consists of a 16x2 LCD display attached on my dashboard which displays the GPS position and speed of the car (I log this) as well as the song and artist when the playing music track changes, and an Elgato Stream Deck which sits in the center console and allows me the ability to launch playlists, advance tracks, etc. If it has Internet (it doesn't usually, I'm cheap), it can hypothetically do some limited navigation, but I haven't tuned the behavior of that much because it's hard (illegal) to program while driving.

I also really want to work on CANBUS connectivity, but it's a big project and I have bills to pay and kids to feed.
by zten | 2025-11-04 18:06:08+00:00
> because photos don't require highest speed cards

That hypothesis is certainly getting tested these days in specific niches. With high megapixel sensors, pre-capture, and cameras capable of pushing between 30fps and 120fps worth of compressed raws or high quality JPEGs, you can obliterate your camera's write buffer and CFExpress write bandwidth. You can make many bad photos of an animal, bird, or athlete with extreme ease -- and hopefully find that one winner in the haystack.

I would say the line between movies and photos is getting blurred, but it's unlikely you're using a shutter speed that allows for motion blur with these bursts of photos!
by BuildTheRobots | 2025-11-04 18:06:15+00:00
Except unpowered SD cards (and SSDs for that matter) don't claim to hold data for more than a couple of years.

I'm a big believer in thinking you have backups being worse than knowing you don't, so anything that encourages people to believe $(flash memory) is suitable as long-term cold storage is actually, really bad.

I agree there's no need to copy & wipe cards immediately, but treating them as "film" is inherently flawed and setting yourself up for failure. The amount of people that turn up in data recovery forums unable to access old, important, "backed up" (memory card/ssd on a shelf) photos is depressingly high.
by cosmicgadget | 2025-11-04 18:06:21+00:00
> "all politicians do this" (your words), unless they're not confronted.

Right. I arrived at "not all" and you arrived at "not all" for different reasons. The combination of our assessments is correct. Both of us are incorrect if you decide that we have to show all our work, correct in that they draw the correct conclusion.

This is HN-tier pedantry that is immaterial to the question of whether or not the above comment is normalizing something not normal.
by pgguru | 2025-11-04 18:06:40+00:00
In any query engine you can execute the same query in different ways. The more restrictions that you can apply on the DuckDB side the less data you need to return to Postgres.

For instance, you could compute a `SELECT COUNT(*) FROM mytable WHERE first_name = 'David'` by querying all the rows from `mytable` on the DuckDB side, returning all the rows, and letting Postgres itself count the number of results, but this is extremely inefficient, since that same value can be computed remotely.

In a simple query like this with well-defined semantics that match between Postgres and DuckDB, you can run the query entirely on the remote side, just using Postgres as a go-between.

Not all functions and operators work in the same way between the two systems, so you cannot just push things down unconditionally; `pg_lake` does some analysis to see what can run on the DuckDB side and what needs to stick around on the Postgres side.

There is only a single "executor" from the perspective of pg_lake, but the pgduck_server embeds a multi-threaded duckdb instance.

How DuckDB executes the portion of the query it gets is up to it; it often will involve parallelism, and it can use metadata about the files it is querying to speed up its own processing without even needing to visit every file. For instance, it can look at the `first_name` in the incoming query and just skip any files which do not have a min_value/max_value that would contain that.
by Troybann3 | 2025-11-04 18:06:55+00:00
REMOTE

Salary Range: $200k-220k Equity Range: 0.7%-1.5%

About Onboard AI Onboard AI is building the trusted foundation for responsible AI in healthcare. Our platform empowers hospitals, payers, and AI developers to confidently adopt AI by simplifying everything from evaluation and procurement to deployment and ongoing oversight. We make it easy for teams to navigate privacy, security, patient safety, fairness, and regulatory requirements through structured workflows and evidence-driven governance.

We’re backed by leading investors, generating revenue, and already working with some of the world’s most respected healthcare organizations. Join us as we shape the future of responsible AI adoption in healthcare. The Role We are seeking a Lead Software Engineer to take ownership of our core product experience. You will shape, build, and ship the Onboard AI web platform end-to-end—from concept through deployment—working closely with users, product leadership, and company founders. You’ll be highly hands-on: identifying customer needs, designing elegant solutions, writing code, and shipping fast and reporting directly to the CEO - a multitime healthtech founder. As our first senior engineering hire, you will play a critical role in defining engineering culture, velocity, and best practices working alongside the AI team with engineers and PhDs from Stanford and Harvard. What You’ll Do Participate in full lifecycle product development—from customer insight to production deployment Lead architecture and implementation of new features and platform capabilities Collaborate directly with users to translate feedback into intuitive, scalable solutions Establish and uphold software engineering best practices, code quality, and testing standards Partner with product leadership to define roadmap and align technical impact with business value Leverage AI-assisted development tools to amplify productivity and maintain high velocity

Email me directly! Troy [-at-] onboard.ai CEO
by jayd16 | 2025-11-04 18:07:34+00:00
Well, app code is streamed, content is streamed. The app code is run locally. Content is pulled periodically.

The mail server is the mail server even for Outlook.

Outlook gives you a way to look through email offline. Gmail apps and even Gmail in Chrome have an offline mode that let you look through email.

It's not easy to call it fully offline, nor a dumb terminal.
by gruez | 2025-11-04 18:07:46+00:00
>Yay, the public is on the hook for $150B of loans to be payed by inflationary pricing.

Where does it say it was funded by $150B of public loans?

>which doesn't change the fact of speculative hoarding

All investment resembles "speculative hoarding'. You're pouring money into a project now with the expectation that it'll pay off in decades.

> and trust-like behavior against the public.

???

>If you pay attention, you won't fail to notice the propaganda push to convince the public to pay higher electric costs in order to pay the capex for new energy plants and transmission lines. In other words, you pay the price, they own the benefits. And if the propaganda fails, they can always use some more general inflation to do the same, as it's being done elsewhere in the economy.

Datacenters are actually associated with lower electricity costs in the US

https://www.economist.com/united-states/2025/10/30/the-data-...
by larusso | 2025-11-04 18:08:13+00:00
Sorry I didn’t response by intention. The thing with the license I actually didn’t bring up because I totally forgot about this part of the discussion. I saw comments a few weeks back going into the fact that it’s not just a rust rewrite but also a relicense with maybe shady intend. I don’t know. I don’t know much about this. To your comment. I don’t know when I actually did any claims? Nor did I claim that a rewrite is fine when it’s changing to a license I like. Just stated that the reason back then was not to rewrite in a more modern language with better security. I wasn’t around when this happened and have no real thought if at the time I would have like or dislike the move. As it’s stands the net positive was obviously great otherwise a Linux as we know it might have been longer in the making. Or never. And yes my argument is weak because I’m actually not an expert on core utility development. I voiced just my feelings about the fact that we seem to move slowly forward or stand still in development rather than progressing to something else. And it seems that others see it differently and or have a better perspective on that.
by faangresumes | 2025-11-04 18:08:33+00:00
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We've written over 10,000 resumes and our revenue has grown over 200% since starting 4 years ago.

We are expanding our platform beyond manual writing by developing an in-house LLM trained on FAANG resumes and job postings. This will allow clients to autonomously revamp their resumes.

We are hiring senior/staff ML engineers who are also comfortable with infra work. You must have prior FAANG experience. All our team members are ex-FAANG.

Reach out to us directly at contact [-at-] faangresumes.com with HN in the subject line.
by dhawalhs | 2025-11-04 18:08:39+00:00
Class Central | Educator / Subject Matter Expert (YouTube) | Part-time | Remote | [https://www.classcentral.com](https://www.classcentral.com)

I'm looking for experienced educators, industry practitioners, and subject matter experts who want to teach live workshops on YouTube. We're launching an experiment: grow our YouTube channel by focusing only on intermediate-to-advanced topics.

Class Central helps tens of millions of learners find the best courses. Small team (6 people), profitable, independent, 13+ years.

This is genuinely experimental. You plan and lead live workshops on subjects you know deeply. Any domain works. We promote them to our audience, and we figure out together what clicks.

I would like to skip the content farm tactics and beginner stuff. I just want to offer solid teaching for people ready to learn challenging subjects.

careers@classcentral.com
Realized something ironic while building a tool to remove friction for others
by Abhijeetp_Singh | 2025-11-04 18:08:53+00:00
I’ve been building a tool that helps people work without friction no context switching, no juggling, just deep focus.

But over the last 2–3 days, I caught myself doing the exact opposite. I was jumping between fund applications, fellowship forms, and pitch decks... instead of just building and pushing traction.

It took me almost two days to realize how ironic that was.

As builders, it’s easy to get pulled into “opportunities” YC, Thiel, grants, investors, accelerators. Each one feels urgent and important. But in the process, you can lose sight of the one thing that actually moves you forward: building.

If someone asked me, “What’s the single most important thing you should be doing right now?” I should be able to answer instantly and that answer should align with progress, not distraction.

Just a small reminder to myself (and anyone grinding right now): Don’t let the noise of opportunity take you away from the focus that created those opportunities in the first place.
by khos | 2025-11-04 18:09:00+00:00
Over the past months, OpenAI and others have been quietly laying the groundwork for something bigger than chatbots, AI agents that can transact.

If you think about it, most of the world’s economy runs on forms, APIs, and spreadsheets, and almost none of it is machine-readable to agents. That’s what the Commerce Agent Protocol (ACP) aims to change.

ACP defines how a store, supplier, or API can expose their inventory, pricing, and ordering capabilities in a standard agent-readable format. This means an AI agent (like ChatGPT or a custom enterprise bot) can now browse, negotiate, and purchase directly — without scraping, forms, or manual integrations.

At Actory, we’re building on top of this emerging standard. Our goal:

To make global trade run itself.

We’re starting by helping Shopify merchants and suppliers expose their catalogs through ACP — effectively becoming discoverable to autonomous agents.

This is the first step toward a self-sustaining, 24/7 economy where software buys and sells from software — procurement, logistics, and payments happening in the background.

We believe agentic commerce will do for coordination what the internet did for communication.

The implications for efficiency, supply chains, and GDP growth are enormous.

If you’re working on agents, commerce infra, or want to collaborate on standards — let’s connect. email: khoos@actory.ai
Startup Analysis 2025: Real Data from 50 Companies (Not AI Fiction)
by mobsterino | 2025-11-04 18:09:02+00:00
I got tired of "I analyzed X startups with ChatGPT" posts that are pure fiction, so I did a real analysis with actual data sources.

Data: Crunchbase, Kaggle datasets (2024-2025), Mercury 2025 Report (1,500 companies), academic research (7,000+ startups), and industry benchmarks from CloudZero, KeyBanc Capital, G-Squared CFO.

Tool: Built using DashAI (our BI platform) - uploaded CSV, asked questions in natural language, generated interactive charts.

Key findings:

1. Average startup revenue: $1.2M (range $0-$10M) 2. FinTech dominates: $5.5M avg vs $800K for retail (7x!) 3. Funding paradox: More capital often = worse margins 4. The $1M revenue plateau is real (40% stuck here) 5. Operating expense variance is huge (3x difference for same revenue)

Full article includes: - All data sources (transparent methodology) - Interactive charts - Industry deep dives (FinTech, SaaS, AI/ML, DevOps, Blockchain) - 2025-2026 predictions

https://get-dashai.com/news/9?utm_source=blog&utm_medium=article&utm_campaign=startup-analysis&utm_content=intro-cta

Happy to answer questions about methodology or specific findings.
by Joel_Mckay | 2025-11-04 18:09:15+00:00
"Still it's amusing how Whitney's style seems to personally offend people"

So it was for the lols after all... Notably, a Lisp interpreter written in Lisp is a common assignment for second year CS students. In a production setting, there is little reason to misappropriate resources for such toys.

Bud Haggert still teaches smart people something very important about communication with interdisciplinary crowds:

https://www.youtube.com/watch?v=Ac7G7xOG2Ag

Doug Zongker's presentation similarly instructs people how to make better presentations to peers by demonstrating what not to do:

https://www.youtube.com/watch?v=yL_-1d9OSdk

Best of luck =3
Show HN: Federated app store for self-hosted AI agents (Apache-2.0)
by brandon-bennett | 2025-11-04 18:09:21+00:00
Self-hosted app store for AI agents. Federated discovery, container isolation, run on your infrastructure.

The problem: most organizations either build every agent in-house or send their data to third-party servers.

You wouldn't build your own email client or maps app - you'd download one. AI agents should work the same way. I spent a year building the infrastructure to make that possible: discover agents built by others, run them on your infrastructure (private cloud, on-premises, or local) without sending your data to third-party servers.

Key architecture:

- Federated Git-based index (fork-based ownership, no gatekeepers)

- Container isolation + egress proxy (you configure which URLs agents can access)

- Credential injection (API keys configured on host, not in agent images)

- Model abstraction (works with Ollama local, cloud APIs, or hybrid)

- Hash-chained audit logs

The platform works. The agent index is mostly empty, but someone has to build the rails so the trains can run.

Apache-2.0 open source. Pre-release but functional.

GitHub: https://github.com/agentsystems/agentsystems

Docs: https://docs.agentsystems.ai

Looking for:

- Agent builders to publish to the index

- Security researchers to review the architecture

- Organizations that need self-hosted AI infrastructure
by mslot | 2025-11-04 18:09:29+00:00
I gave a talk on that at Data Council, then still discussing the pg_lake extensions as part of Crunchy Data Warehouse.

https://youtu.be/HZArjlMB6W4?si=BWEfGjMaeVytW8M1

Also, nicer recording from POSETTE: https://youtu.be/tpq4nfEoioE?si=Qkmj8o990vkeRkUa

It comes down to the trade-offs made by operational and analytical query engines being fundamentally different at every level.
by Zak | 2025-11-04 18:10:03+00:00
> photos don't require highest speed cards

I photograph birds in flight at 25 or 50 FPS.

Even if I didn't do something that demands fast cards and fills them up quickly, I don't see much reason to keep photos on SD cards rather than my laptop's SSD with an external HDD as backup. I import and cull the photos, run a backup, and reformat the cards.
by pgguru | 2025-11-04 18:10:18+00:00
DuckDB provided a lot of infrastructure for reading/writing parquet files and other common formats here. It also was inherently multi-threaded and supported being embedded in a larger program (similar to sqllite), so made it a good basis for something that could work outside of the traditional process model of Postgres.

Additionally, the postgres extension system supports most of the current project, so wouldn't say it was forced in this case, it was a design decision. :)
by brandon-bennett | 2025-11-04 18:10:30+00:00
Aloha HN! Author here.

Origin story:

I built this after repeatedly seeing the same problem: companies wanted to use specialized AI agents (document processing, compliance checks, data analysis) but couldn't justify either: (1) building everything in-house - expensive and creates unmaintainable internal tools, or (2) sending sensitive data to third-party SaaS platforms.

The same pattern kept repeating: they needed "an app store for agents" that worked like Docker Hub but with security isolation baked in.

The interesting technical choice:

I wanted this to be fully open with no gatekeepers - no accounts, nothing to signup for, and as decentralized as possible. So I came up with a federated Git-based index. Instead of a centralized marketplace, agent metadata lives in a GitHub repo. Developers fork it, add their agent to `developers/their-username/`, and submit a PR. Automated validation checks that the folder name matches the fork owner (GitHub-authenticated namespace ownership). No manual approval needed. The entire system operates without gatekeepers - fully forkable if you disagree with the index maintainers.

Current state & what I need:

Pre-release and functional. The platform works, but the agent index is mostly empty since we're just getting started. I'm looking for:

1. Agent builders - If you've built agents for internal use, consider publishing them. The SDK makes it straightforward.

2. Security researchers - I want this architecture stress-tested. Found a hole? I'll credit you and fix it.

3. Organizations with data governance requirements - If you need self-hosted AI infrastructure, let's talk about your use case.

Tech stack:

- Control plane: FastAPI, PostgreSQL, Docker SDK

- UI: React, TypeScript, Zustand

- SDK: Python, Typer

- Agents: Any language (FastAPI template provided)

Happy to answer questions about the architecture, federated index mechanics, or security model. Critiques are welcome too - that's why I'm posting early.
by trogdor | 2025-11-04 18:10:35+00:00
The Plaid can only output its maximum power at 100% state-of-charge (or close to it).

As state-of-charge decreases, so does the overall battery pack voltage. Since the motors can only pull some peak number of amps, doing so at lower pack voltage will always deliver less total power.

I own a Model S Plaid and I used to pay close attention to the OBD-II data, out of curiosity.