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Why a 175-Year-Old Glassmaker Is Suddenly an AI Superstar

https://www.wsj.com/tech/corning-fiber-optics-ai-e045ba3b
1•Brajeshwar•8s ago•0 comments

Micro-Front Ends in 2026: Architecture Win or Enterprise Tax?

https://iocombats.com/blogs/micro-frontends-in-2026
1•ghazikhan205•2m ago•0 comments

Japanese rice is the most expensive in the world

https://www.cnn.com/2026/02/07/travel/this-is-the-worlds-most-expensive-rice-but-what-does-it-tas...
1•mooreds•2m ago•0 comments

These White-Collar Workers Actually Made the Switch to a Trade

https://www.wsj.com/lifestyle/careers/white-collar-mid-career-trades-caca4b5f
1•impish9208•2m ago•1 comments

The Wonder Drug That's Plaguing Sports

https://www.nytimes.com/2026/02/02/us/ostarine-olympics-doping.html
1•mooreds•3m ago•0 comments

Show HN: Which chef knife steels are good? Data from 540 Reddit tread

https://new.knife.day/blog/reddit-steel-sentiment-analysis
1•p-s-v•3m ago•0 comments

Federated Credential Management (FedCM)

https://ciamweekly.substack.com/p/federated-credential-management-fedcm
1•mooreds•3m ago•0 comments

Token-to-Credit Conversion: Avoiding Floating-Point Errors in AI Billing Systems

https://app.writtte.com/read/kZ8Kj6R
1•lasgawe•3m ago•1 comments

The Story of Heroku (2022)

https://leerob.com/heroku
1•tosh•4m ago•0 comments

Obey the Testing Goat

https://www.obeythetestinggoat.com/
1•mkl95•4m ago•0 comments

Claude Opus 4.6 extends LLM pareto frontier

https://michaelshi.me/pareto/
1•mikeshi42•5m ago•0 comments

Brute Force Colors (2022)

https://arnaud-carre.github.io/2022-12-30-amiga-ham/
1•erickhill•8m ago•0 comments

Google Translate apparently vulnerable to prompt injection

https://www.lesswrong.com/posts/tAh2keDNEEHMXvLvz/prompt-injection-in-google-translate-reveals-ba...
1•julkali•8m ago•0 comments

(Bsky thread) "This turns the maintainer into an unwitting vibe coder"

https://bsky.app/profile/fullmoon.id/post/3meadfaulhk2s
1•todsacerdoti•9m ago•0 comments

Software development is undergoing a Renaissance in front of our eyes

https://twitter.com/gdb/status/2019566641491963946
1•tosh•9m ago•0 comments

Can you beat ensloppification? I made a quiz for Wikipedia's Signs of AI Writing

https://tryward.app/aiquiz
1•bennydog224•11m ago•1 comments

Spec-Driven Design with Kiro: Lessons from Seddle

https://medium.com/@dustin_44710/spec-driven-design-with-kiro-lessons-from-seddle-9320ef18a61f
1•nslog•11m ago•0 comments

Agents need good developer experience too

https://modal.com/blog/agents-devex
1•birdculture•12m ago•0 comments

The Dark Factory

https://twitter.com/i/status/2020161285376082326
1•Ozzie_osman•12m ago•0 comments

Free data transfer out to internet when moving out of AWS (2024)

https://aws.amazon.com/blogs/aws/free-data-transfer-out-to-internet-when-moving-out-of-aws/
1•tosh•13m ago•0 comments

Interop 2025: A Year of Convergence

https://webkit.org/blog/17808/interop-2025-review/
1•alwillis•14m ago•0 comments

Prejudice Against Leprosy

https://text.npr.org/g-s1-108321
1•hi41•15m ago•0 comments

Slint: Cross Platform UI Library

https://slint.dev/
1•Palmik•19m ago•0 comments

AI and Education: Generative AI and the Future of Critical Thinking

https://www.youtube.com/watch?v=k7PvscqGD24
1•nyc111•19m ago•0 comments

Maple Mono: Smooth your coding flow

https://font.subf.dev/en/
1•signa11•20m ago•0 comments

Moltbook isn't real but it can still hurt you

https://12gramsofcarbon.com/p/tech-things-moltbook-isnt-real-but
1•theahura•24m ago•0 comments

Take Back the Em Dash–and Your Voice

https://spin.atomicobject.com/take-back-em-dash/
1•ingve•24m ago•0 comments

Show HN: 289x speedup over MLP using Spectral Graphs

https://zenodo.org/login/?next=%2Fme%2Fuploads%3Fq%3D%26f%3Dshared_with_me%25253Afalse%26l%3Dlist...
1•andrespi•25m ago•0 comments

Teaching Mathematics

https://www.karlin.mff.cuni.cz/~spurny/doc/articles/arnold.htm
2•samuel246•28m ago•0 comments

3D Printed Microfluidic Multiplexing [video]

https://www.youtube.com/watch?v=VZ2ZcOzLnGg
2•downboots•28m ago•0 comments
Open in hackernews

Show HN: ThinkMoon – AI Trading Assistant Using LLMs for Live Crypto Trading

https://demo.thinkmoon.ai/
1•thinkmoon•2mo ago
I built ThinkMoon because I wanted to see if LLMs could actually make money trading crypto, not just talk about it.

It's an AI-powered trading platform where you can connect models from OpenRouter, OpenAI, or Anthropic to real markets and let them execute actual trades on Binance Futures.

How it works: the AI gets real-time market data (candles, order book, ticker), analyzes it, and outputs structured trading decisions. Then it actually executes - long/short positions with leverage up to 40x. Every single decision is logged with the full prompt, the AI's reasoning, and market snapshot at that moment.

What I'm most excited about is that you can create your own trading agents. You write or start from basic strategy prompts, pick your risk parameters, choose which cryptos to trade (BTC, ETH, SOL, XRP, whatever), and let it run. You can even mix different LLMs and compare how they perform.

I also added Telegram and Slack notifications so you get alerts when trades happen. Plus a dashboard to track everything - live P&L, open positions, the AI's chain of thought.

The risk management side was important to me: stop-loss, take-profit, position limits, and a kill-switch if drawdown gets too high.

Currently working on our own custom LLM fine-tuned specifically for trading decisions. Early results are promising, better consistency than the general models.

Would love to hear what features you'd want in an AI trading assistant. What's missing from tools you've tried?