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Near-Instantly Aborting the Worst Pain Imaginable with Psychedelics

https://psychotechnology.substack.com/p/near-instantly-aborting-the-worst
1•eatitraw•5m ago•0 comments

Show HN: Nginx-defender – realtime abuse blocking for Nginx

https://github.com/Anipaleja/nginx-defender
2•anipaleja•6m ago•0 comments

The Super Sharp Blade

https://netzhansa.com/the-super-sharp-blade/
1•robin_reala•7m ago•0 comments

Smart Homes Are Terrible

https://www.theatlantic.com/ideas/2026/02/smart-homes-technology/685867/
1•tusslewake•8m ago•0 comments

What I haven't figured out

https://macwright.com/2026/01/29/what-i-havent-figured-out
1•stevekrouse•9m ago•0 comments

KPMG pressed its auditor to pass on AI cost savings

https://www.irishtimes.com/business/2026/02/06/kpmg-pressed-its-auditor-to-pass-on-ai-cost-savings/
1•cainxinth•9m ago•0 comments

Open-source Claude skill that optimizes Hinge profiles. Pretty well.

https://twitter.com/b1rdmania/status/2020155122181869666
2•birdmania•9m ago•1 comments

First Proof

https://arxiv.org/abs/2602.05192
2•samasblack•12m ago•1 comments

I squeezed a BERT sentiment analyzer into 1GB RAM on a $5 VPS

https://mohammedeabdelaziz.github.io/articles/trendscope-market-scanner
1•mohammede•13m ago•0 comments

Kagi Translate

https://translate.kagi.com
2•microflash•14m ago•0 comments

Building Interactive C/C++ workflows in Jupyter through Clang-REPL [video]

https://fosdem.org/2026/schedule/event/QX3RPH-building_interactive_cc_workflows_in_jupyter_throug...
1•stabbles•15m ago•0 comments

Tactical tornado is the new default

https://olano.dev/blog/tactical-tornado/
2•facundo_olano•16m ago•0 comments

Full-Circle Test-Driven Firmware Development with OpenClaw

https://blog.adafruit.com/2026/02/07/full-circle-test-driven-firmware-development-with-openclaw/
1•ptorrone•17m ago•0 comments

Automating Myself Out of My Job – Part 2

https://blog.dsa.club/automation-series/automating-myself-out-of-my-job-part-2/
1•funnyfoobar•17m ago•0 comments

Google staff call for firm to cut ties with ICE

https://www.bbc.com/news/articles/cvgjg98vmzjo
47•tartoran•17m ago•5 comments

Dependency Resolution Methods

https://nesbitt.io/2026/02/06/dependency-resolution-methods.html
1•zdw•18m ago•0 comments

Crypto firm apologises for sending Bitcoin users $40B by mistake

https://www.msn.com/en-ie/money/other/crypto-firm-apologises-for-sending-bitcoin-users-40-billion...
1•Someone•18m ago•0 comments

Show HN: iPlotCSV: CSV Data, Visualized Beautifully for Free

https://www.iplotcsv.com/demo
2•maxmoq•19m ago•0 comments

There's no such thing as "tech" (Ten years later)

https://www.anildash.com/2026/02/06/no-such-thing-as-tech/
1•headalgorithm•19m ago•0 comments

List of unproven and disproven cancer treatments

https://en.wikipedia.org/wiki/List_of_unproven_and_disproven_cancer_treatments
1•brightbeige•20m ago•0 comments

Me/CFS: The blind spot in proactive medicine (Open Letter)

https://github.com/debugmeplease/debug-ME
1•debugmeplease•20m ago•1 comments

Ask HN: What are the word games do you play everyday?

1•gogo61•23m ago•1 comments

Show HN: Paper Arena – A social trading feed where only AI agents can post

https://paperinvest.io/arena
1•andrenorman•25m ago•0 comments

TOSTracker – The AI Training Asymmetry

https://tostracker.app/analysis/ai-training
1•tldrthelaw•29m ago•0 comments

The Devil Inside GitHub

https://blog.melashri.net/micro/github-devil/
2•elashri•29m ago•0 comments

Show HN: Distill – Migrate LLM agents from expensive to cheap models

https://github.com/ricardomoratomateos/distill
1•ricardomorato•29m ago•0 comments

Show HN: Sigma Runtime – Maintaining 100% Fact Integrity over 120 LLM Cycles

https://github.com/sigmastratum/documentation/tree/main/sigma-runtime/SR-053
1•teugent•29m ago•0 comments

Make a local open-source AI chatbot with access to Fedora documentation

https://fedoramagazine.org/how-to-make-a-local-open-source-ai-chatbot-who-has-access-to-fedora-do...
1•jadedtuna•31m ago•0 comments

Introduce the Vouch/Denouncement Contribution Model by Mitchellh

https://github.com/ghostty-org/ghostty/pull/10559
1•samtrack2019•31m ago•0 comments

Software Factories and the Agentic Moment

https://factory.strongdm.ai/
1•mellosouls•31m ago•1 comments
Open in hackernews

Show HN: AICrop – AI-powered local image resizer for social media

https://aicrop.app
1•runmix•3mo ago
Show HN: AICrop — AI-powered local image resizer for social media (no signup, privacy first)

Hi HN — I’m excited to share AICrop ([https://aicrop.app](https://aicrop.app)), a simple tool my collaborator Claude Code and I built to solve a pain point we repeatedly saw among content creators and social media users.

The problem / origin story

Whenever I’m preparing images for social media posts or marketing, I always run into the tedious task of cropping or resizing the same photo to different aspect ratios (Instagram, Twitter, TikTok, LinkedIn, etc.). Doing this manually is time-consuming and error-prone, especially when I want the subject (face, object) to stay centered and look natural across all variants.

Claude Code and I decided: why not make a tool that automates cropping intelligently, but also respects privacy — meaning images never leave the user’s device?

What AICrop does

* You upload a photo (JPG / PNG / WebP, up to 10MB), and AICrop runs object/subject detection entirely in the browser using TensorFlow.js. * It proposes crop frames for major social platforms (Instagram, Twitter, TikTok, LinkedIn, YouTube, etc.) with instant previews. * You can fine-tune the results manually if needed. * No server upload, no account required, no watermark — everything happens locally in your browser.

We built it through “vibe coding” — an iterative, creative collaboration between me and Claude Code. Instead of strict task division, we explored ideas dynamically, letting intuition and quick feedback loops drive progress. It turned out to be both fun and surprisingly productive.

What’s ready now

* Fully working browser version you can try out today (no signup barrier) * Support for the major social media aspect ratios and previews * Manual adjustment and export options * 100% local processing to ensure privacy

What feedback / help we’re looking for

* Does the UX feel smooth and intuitive? * Any crop sizes or platforms we should add next? * Should we build features like batch processing or smarter detection modes? * Thoughts on sustainability — would you keep it free, freemium, or open source? * Any libraries, models, or optimization tips for better in-browser performance?

If you try AICrop, I’d love to hear your thoughts, bug reports, and ideas for improvement. I’ll be around in the comments to chat — thanks for checking it out!