Hacker News

Article URL: https://cashflow-sim.vercel.app/

Comments URL: https://news.ycombinator.com/item?id=49014845

Points: 1

# Comments: 0

Article URL: https://medium.com/@gbenga-awodokun/7-basic-things-data-scientists-wish-their-pms-knew-about-a-b-testing-6bcb79fc89a7

Comments URL: https://news.ycombinator.com/item?id=49014812

Points: 1

# Comments: 0

Article URL: https://medium.com/@rotbart/chaos-begets-chaos-order-begets-order-agentic-coding-as-crystallisation-a0261b453ca0

Comments URL: https://news.ycombinator.com/item?id=49014809

Points: 3

# Comments: 0

Article URL: https://withdocket.com/blog/why-im-building-a-note-taking-app-without-ai

Comments URL: https://news.ycombinator.com/item?id=49014798

Points: 2

# Comments: 1

Article URL: https://papers.ssrn.com/sol3/papers.cfm

Comments URL: https://news.ycombinator.com/item?id=49014796

Points: 2

# Comments: 0

Article URL: https://www.congress.gov/bill/119th-congress/house-bill/8800/text

Comments URL: https://news.ycombinator.com/item?id=49014795

Points: 5

# Comments: 1

Vivace uses only Qt (v6.11.1 or newer) itself — no Qt Widgets, no external player processes. I built it because I wanted SMPlayer's UI conventions and features without depending on the external player processes(mpv/mplayer).

It's a ground-up rewrite, not a fork.

Still early stage (v0.1.1) — feedback and bug reports are welcome.

Comments URL: https://news.ycombinator.com/item?id=49014781

Points: 2

# Comments: 0

Article URL: https://www.economist.com/culture/2026/07/02/amorality-and-greed-at-silicon-valleys-favourite-university

Comments URL: https://news.ycombinator.com/item?id=49014779

Points: 2

# Comments: 0

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

# Comments: 0

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

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

Points: 1

# Comments: 0

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