SiteTend
Free tools for checking and improving your website
What it does
SiteTend is a free collection of focused website tools covering technical SEO, performance, accessibility, metadata, structured data, website health, launch readiness, and migration workflows. No account or subscription is required.
Website checks, practical fixes, and verification for owners.
Diagnose crawling, indexing, page-signal, international, social, and structured-data issues with clear evidence and practical fixes. Built for website owners, SEO practitioners, developers, and agencies. No account required; pasted inputs stay in your browser. Each tool explains what it checks, how to act on a finding, and what the browser-local analysis cannot prove. Use one focused checker for a quick answer or follow the complete workflow to uncover conflicts between related controls. Check title length, search intent, keyword placement, readability, branding, and truncation risk. Find missing, conflicting, invalid, or inconsistent canonical URL declarations. Check robots.txt syntax,…from sitetend.tools
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Launched alongside, August 2026
the whole month →- TL
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