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Article URL: https://arstechnica.com/information-technology/2026/05/in-stunning-display-of-stupid-secret-cisa-credentials-found-in-public-github-repo/

Comments URL: https://news.ycombinator.com/item?id=48201295

Points: 2

# Comments: 1

Article URL: https://twitter.com/Railway/status/2056883076496789854

Comments URL: https://news.ycombinator.com/item?id=48201286

Points: 4

# Comments: 0

Article URL: https://insight.kellogg.northwestern.edu/article/swipe-or-tap-how-age-shapes-the-adoption-of-new-technologies

Comments URL: https://news.ycombinator.com/item?id=48201277

Points: 1

# Comments: 1

Article URL: https://techcrunch.com/2026/05/19/googles-ai-studio-now-lets-anyone-build-android-apps-in-minutes/

Comments URL: https://news.ycombinator.com/item?id=48201259

Points: 1

# Comments: 0

Article URL: https://www.theatlantic.com/newsletters/2026/05/trump-corruption-irs-fund/687227/

Comments URL: https://news.ycombinator.com/item?id=48201230

Points: 1

# Comments: 0

Article URL: https://terminalbytes.com/arduino-claude-code-activity-meter/

Comments URL: https://news.ycombinator.com/item?id=48201226

Points: 1

# Comments: 1

Article URL: https://github.com/GoogleChromeLabs/css-web-ui-demos/blob/main/html-in-canvas/awesome-html-in-canvas.md

Comments URL: https://news.ycombinator.com/item?id=48201222

Points: 1

# Comments: 0

Article URL: https://nesbitt.io/2026/05/15/language-registries-are-unstable-by-default.html

Comments URL: https://news.ycombinator.com/item?id=48201219

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=KUyRq7szZsM

Comments URL: https://news.ycombinator.com/item?id=48201218

Points: 1

# Comments: 0

Article URL: https://www.reuters.com/world/us-cftc-sues-minnesota-block-law-related-prediction-market-2026-05-19/

Comments URL: https://news.ycombinator.com/item?id=48201210

Points: 3

# Comments: 0

Article URL: https://capframe.ai

Comments URL: https://news.ycombinator.com/item?id=48201206

Points: 1

# Comments: 2

Article URL: https://www.anthropic.com/news/widening-conversation-ai

Comments URL: https://news.ycombinator.com/item?id=48201196

Points: 1

# Comments: 0

You know that feeling when no one reads the documentation you wrote? I bet we've all experienced that moment when, after spending a lot of time crafting a README file, you realize nobody gives a fuck.

But how do you know nobody reads your Readme, I hear you ask?

Well, come on, remember when your colleague or manager asks for a call to quiz you on things you already carefully detailed in the docs?

And now? AI agents - which are basically LLMs trained on human data - expect you to have an `AGENTS.md` file. This is on top of the `README.md`, `CONTRIBUTING.md`, `STYLEGUIDE.md`, and `TESTING.md` files you've already written. It's happening all over again.

So "tu quoque," Claude? My friend Claude, you want me to create an `CLAUDE.md` file because you don't want to read my docs either...

This is why I propose we create an `AGENTS.md` file containing nothing but this:

RTFRA

(Read The Fucking Readme, Agent)

Comments URL: https://news.ycombinator.com/item?id=48201187

Points: 1

# Comments: 0

Article URL: https://variety.com/2026/film/news/paul-schrader-ai-girlfriend-ended-relationship-1236753609/

Comments URL: https://news.ycombinator.com/item?id=48201186

Points: 1

# Comments: 0

A smart scale provides various metrics right from your bathroom.

Article URL: https://status.railway.com?resubmit=hn

Comments URL: https://news.ycombinator.com/item?id=48200931

Points: 3

# Comments: 1

I’m building an AI analyst desk for retail FX traders.

The idea is to split the work of a real FX analyst desk across five LLM agents: macro context, setup comparison, risk review, specialist synthesis, and reflection/audit.

The product generates structured market reports that traders can use before making their own decisions. A report may include macro context, strategy candidates, risk notes, entry/SL/TP zones, invalidation conditions, and a suggested position idea. It does not custody user funds, and the current direction is decision support, not auto-execution.

The hard part is trust. The MVP is not fully finished yet, and in trading/finance it is very difficult to get people to try a new product without credibility. But to make the product trustworthy, I need feedback from real users.

I originally considered a mobile app, but switched to a web service to reduce friction. I’m also planning to make the alpha free.

If you were building this, how would you get the first 20–50 serious alpha users?

Would you: - publish weekly USDJPY reports first? - recruit from FX/algo trading communities? - DM small trading creators? - keep alpha invite-only? - make the product public before it is fully interactive?

I’m trying to avoid sounding like another “AI trading bot” and instead position it as an AI analyst desk that improves market analysis and decision preparation.

What would you do?

Comments URL: https://news.ycombinator.com/item?id=48200930

Points: 1

# Comments: 0

Article URL: https://www.nature.com/articles/d41586-026-01595-5

Comments URL: https://news.ycombinator.com/item?id=48200926

Points: 1

# Comments: 0

Why are toilet rolls exactly the same in every country? Almost no other items are.

Comments URL: https://news.ycombinator.com/item?id=48200922

Points: 1

# Comments: 0