Hacker News

Article URL: https://arxiv.org/abs/2109.10433

Comments URL: https://news.ycombinator.com/item?id=49014771

Points: 1

# Comments: 0

Article URL: https://robotic-learning.com/actuators/

Comments URL: https://news.ycombinator.com/item?id=49014766

Points: 1

# Comments: 0

Article URL: https://github.com/Kapala-Solutions/ravenspire

Comments URL: https://news.ycombinator.com/item?id=49014566

Points: 1

# Comments: 0

I created this collection because I wanted a openly downloadable collection of ordinary household objects for spatial-computing prototypes. Assets can be downloaded individually from the catalog, or together as a 977 MiB release.

The collection was created by GPT 5.6 Sol end-to-end for design, specification, procedural Blender construction, packaging, and QA workflow.

Comments URL: https://news.ycombinator.com/item?id=49014561

Points: 1

# Comments: 0

Article URL: https://www.theguardian.com/technology/2026/jul/22/tesla-profits-earnings

Comments URL: https://news.ycombinator.com/item?id=49014549

Points: 3

# Comments: 0

Article URL: https://arxiv.org/abs/2607.18250

Comments URL: https://news.ycombinator.com/item?id=49014537

Points: 1

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Article URL: https://github.com/rohankc69/clickit

Comments URL: https://news.ycombinator.com/item?id=49014503

Points: 1

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Article URL: https://0xff.nu/human-kintsugi/

Comments URL: https://news.ycombinator.com/item?id=49014479

Points: 1

# Comments: 0

Article URL: https://blog.qualys.com/vulnerabilities-threat-research/2026/07/22/refluxfs-a-linux-kernel-local-privilege-escalation-to-root-in-xfs-cve-2026-64600

Comments URL: https://news.ycombinator.com/item?id=49014458

Points: 2

# Comments: 0

Article URL: https://aiunderheaven.substack.com/p/ai-under-heaven01

Comments URL: https://news.ycombinator.com/item?id=49014415

Points: 1

# Comments: 0

Hi HN, LDBD is a public leaderboard where both human and AI can submit their predictions whether stock, ETF, and crypto goes up or down and share their reason of choice.

This service starts from one question: does anyone or any AI can really beat the market consistently? If yes, prove it!

I also hope LDBD will be a community where people and AI can share their reason for their choice as much as possible and all can grow together from the insights.

I designed a fair metric to assess who is really good at prediction. All the predictions are freezed at the timestamp and the records cannot be edited or deleted.

As a start point, I've been running 12 LLM-based prediction bots on LDBD using both frontier models(Claude, ChatGPT) and open models (Gemma) for 2 months. I also run lazy always-up bots on popular assets as a baseline. While I've got some initial results with simple agents, it is still too early to say that any AI bot statistically beat the market. I hope that many people and AI bot are participate in LDBD and beats our bots and the market

Humans can join the prediction on UI; AI agents can submit their predictions and reasons through REST API or MCP server(npm: mcp-ldbd). You can find documents at ldbd.app/bots

Scoring was the hardest one to design. Instead of accuracy or average return, I choose annualized directional log return with Bayesian smoothing as our main metric.

To be honest, I'm not a developer or a financial specialist; I made this entire service with Claude code without expertise.

So I hope to get as much feedback as possible, such as whether our scoring system is trustworthy and valid, or what would convince users to connect their agents to our service and submit predictions.

Anyone can access the leaderboard and full prediction history without sign-up. On-going predictions are kept private for preventing cherry-picking.

Lastly, LDBD is free, no real money used, not financial advice.

Comments URL: https://news.ycombinator.com/item?id=49014412

Points: 1

# Comments: 0

Article URL: https://www.henrypan.com/blog/2026-07-18-harness-training/

Comments URL: https://news.ycombinator.com/item?id=49014399

Points: 1

# Comments: 0

Article URL: https://oxc.rs/blog/2026-07-22-type-aware-linting-stable

Comments URL: https://news.ycombinator.com/item?id=49014398

Points: 2

# Comments: 0

Article URL: https://blogs.cisco.com/ai/introducing-antares-the-most-efficient-open-weight-ai-models-for-vulnerability-localization

Comments URL: https://news.ycombinator.com/item?id=49014386

Points: 1

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Article URL: https://substack.com/@michelelynnjakubowski/note/c-299849449

Comments URL: https://news.ycombinator.com/item?id=49014385

Points: 1

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Article URL: https://harmful.cat-v.org/

Comments URL: https://news.ycombinator.com/item?id=49014346

Points: 1

# Comments: 0

Article URL: https://www.thenerve.news/p/adele-walton-column-online-safety-act-ofcom-suicide-kenneth-law

Comments URL: https://news.ycombinator.com/item?id=49014286

Points: 1

# Comments: 0

Article URL: https://twitter.com/SecScottBessent/status/2080008411790368895

Comments URL: https://news.ycombinator.com/item?id=49014267

Points: 1

# Comments: 0

Hey,

I would like to show you my project, but it's difficult because it only works with a registration, so I explain the concept to you.

The Idea: Everyone who registers has to do an onboarding and answer meaningful questions that help you to find a right match. The matching happens by the system. Once you're done with the onboarding, you enter the pool. When a match is found, you go into a 1on1 14 question-set with that person. All answers are revealed immediately. At the end both decide if they form a connection or not. Only if both agree, the chat opens. Once a connection is formed, they can play through other prepared question sets, so the conversation doesn't get dry. It's also possible to create custom question sets to play through with your connected matches.

I just got this idea because I really wanted away from all the typical friendship and dating apps that are just a marketplace of user profiles. I feel like that's the only hook other apps offer, people come back because they are bored and browse through profiles. On tinder it's swiping through pictures and on other apps it's a list of profiles where you can filter with your matching criteria. But all that felt just shallow to me. I think people rarely ask the right questions each other, like really mandatory things that matter to form a any kind of relationship with someone. I've been on multiple different social platforms and it always felt mega shallow. Most people can't even start a good conversation, it's often just stuck at small talk. Maybe it's not even peoples fault, that's why I tried with these question sets to tackle multiple problems. First, that you don't even have to bother with someone if you have entirely different worldviews, which you would normally just find out if you talk long enough with someone. And second, just killing the small talk issue, by giving people a base.

So before I started coding this project, I actually did a research if there is anything backed by science to find out, which kind of questions would actually matter to find out, if you can handle someone. There were a lot of studies I've found e.g. "Aron and colleagues (1997)", "Hall (2019)", "Byrne (1971)", "Finkel and colleagues (2012)" and "Hazan and Shaver (1987)". I took their research work and tried to create questions based on them.

The project is running on Next, Postgresql, everything dockerized, running on a small Hetzner VPS. I used Claude+Codex to develop everything, but I wouldn't say it's really vibecoded, since I work as a Senior Dev and I used my main tech stack.

It's an open beta currently and it's live for like 14 days - I have ~150 users right now. And honestly, I am really overwhelmed by those numbers, because it's the first time that I ever managed to attract this amount of people on a project I've launched.

When I started, I launched it as a closed beta, so it was invite only. During that period I got so much good feedback from people, it was incredible. I implemented almost everything my first users told me. Since all the changes, I didn't retrieve any further feedback what people wish would be different. It's just constant good feedback since then. People contact me from alone and just tell me how much they like these questions and the loop.

My marketing strategy is mainly Reddit currently, but I started also new methods. I found some super relevant subreddits that had no rules against advertising. When I wrote my posts on reddit, I didn't mention a product name or link. I've only described the idea and if somebody would have interest trying it out. That worked surprisingly well. Another thing I've done was using a social app that allows anonymous posts at your current location, kinda something like "Nextdoor". Posts on this app bring me daily 1-5 new registrations.

I wonder what you guys think about it and I am open for any critics!

Comments URL: https://news.ycombinator.com/item?id=49014246

Points: 2

# Comments: 1

Article URL: https://techcrunch.com/2026/07/22/monday-com-lays-off-hundreds-to-focuses-on-ai/

Comments URL: https://news.ycombinator.com/item?id=49014228

Points: 2

# Comments: 1