NoCookies Analytics
Privacy-first, cookie-free website analytics
What it does
NoCookies is a lightweight analytics tool that tracks your website traffic without using cookies, storing IP addresses, or violating user privacy. 🍪 Zero cookies — no consent banner needed ⚡ One line of code to install on any website 🌍 GDPR & CCPA compliant by design 📊 See pageviews, countries, browsers, and devices 💰 Free tier — 50,000 pageviews/month Built as an alternative to Google Analytics for developers, bloggers, and small businesses who care about their visitors' privacy.
NoCookies — Privacy-First Analytics nocookies Features Pricing Open Dashboard → Privacy-First · No Cookies · GDPR Ready Analytics that respectyour visitors Lightweight, cookie-free website analytics. Know your traffic without tracking your users. Start Free — No Credit Card See How It Works Add to your site — one line 0kb Cookie
Simple, fast, and privacy-respecting. No bloat, no complexity. Under 2kb. Won't slow down your site. Uses sendBeacon for zero-impact tracking. No personal data collected. No IP addresses stored. Fully compliant by design. See pageviews, countries, browsers, and devices — all in a clean, simple dashboard. Works with WordPress, Next.js, HTML, Webflow, Framer — any site that accepts a script tag. Free tier for small sites. Pro plan starting at $5/month — no surprise bills. Copy your tracking script and paste it before </body> on your site. Visitor data starts appearing in your dashboard immediately. Join developers and site owners who care about their visitors'from msgcit.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.
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