Home Diagnosed
Know what's wrong with your home before you call a pro
What it does
Home Diagnosed helps homeowners figure out what's actually wrong with their house before calling a contractor or paying for an unnecessary repair. We publish clear, no-jargon guides on home maintenance checklists, foundation problems, HVAC troubleshooting, electrical safety, mold and moisture issues, and homeowners insurance coverage and claims — built around one simple question: what should you check first, and how urgent is it?
Get expert DIY home maintenance guides, HVAC repair tips, foundation care, and home insurance advice. Diagnose and fix your home problems easily!
Practical homeowner guides that help you identify the problem, understand the risk, document the issue, and decide what to do next. Homeowners usually arrive with one urgent question: is this serious, what system is involved, and what should I document before calling someone? HomeDiagnosed keeps each guide focused on practical checks, safe next steps, and clear limits. Each guide area has its own hub, so visitors can move from a symptom to the right cost, coverage, safety, or maintenance article without digging through a flat blog feed. Start with repair cost, crack seriousness, warning signs, and when homeowners should call a foundation specialist. Help homeowners understand when insurance…from homediagnosed.com
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Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com