Intastellar Analytics
Analytics built for privacy and native consent integration
What it does
Track revenue, funnels and real user behaviour without breaking when visitors decline cookies. First-party analytics built into Intastellar Consents. Growth plan.
An alternative to Google Analytics that respects user privacy and provides accurate first-party data. Hosted and built in the EU
Most stores rely on Meta Pixel or GA4 for conversion data. Both go blind the moment a visitor declines consent. Intastellar tracks the full journey from landing page to purchase using your own first-party events, so your numbers hold up even when 40% of visitors say no. Page views are easy to count. What's hard is knowing which blog post led to a trial, which channel brings people who actually convert, and which sessions are worth following up on. That's what the dashboard is built around. Page views tell you what got opened. Scroll depth tells you what actually got read. Intastellar tracks both, along with return reader rates and content attribution, so you know which articles drive your…from intastellar.eu
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com
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 · 16d ago · simedw.com