Analyze My Knee
Private in-browser scan viewer + optional AI second read
What it does
Got an MRI, CT or X-ray and can't make sense of it? Analyze My Knee runs your scan past a consortium of leading AI models — each reads it independently, then they're merged into one plain-language report: the key findings, the confidence behind each, and the questions to ask your doctor. View scans privately in your browser for free (nothing uploaded); the AI report runs on paid credits. For patients, not clinicians — no medical jargon. A second opinion to help you prepare, not a diagnosis.
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Read Your ScanJul 2026 · readyourscan.com · ▲1Your medical scans in 3D — explained by AI, shared privately
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Hey HN! This has been my project for a few years now. I recently brought it back to life after taking a pause to focus on my studies. My goal with this project is to separate fluff from science when shopping for supplements. I am doing this in 3 steps: 1.) I index every supplement on the market (extract each ingredient, normalize by quantity) 2.) I index every research paper on supplementation (rank every claim by effect type and effect size) 3.) I link data between supplements and research papers Earlier last year, I took pause on a project because I've ran into a few issues: Legal: Shady…
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I've built Neuralrad Mammo AI, a free research tool that combines deep learning object detection with vision language models to analyze mammograms. The goal is to provide researchers and medical professionals with a secondary analysis tool for investigation purposes. Important Disclaimers: - NOT FDA 510(k) cleared - this is purely for research investigation - Not for clinical diagnosis - results should only be used as a secondary opinion - Completely free - no registration, no payment, no data retention What it does: 1. Upload a mammogram image (JPEG/PNG) 2. AI identifies potential…
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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