Trackless
Cookieless analytics built for online stores
What it does
Trackless measures traffic, orders, net revenue, margin and ROAS without its own analytics cookies. Server-side modules cover major open-source e-commerce platforms; hosted stores use a lightweight snippet. EU-hosted, with a 30-day free trial.
Cookieless analytics for online stores - server-side traffic and revenue, without its own analytics cookies, designed with GDPR in mind. Ready-made modules for open platforms, tracking snippets for hosted platforms, plus open API.
Online store metrics that make sense - from traffic through actual revenue to margin and ROAS. Server-side modules and plugins cover PrestaShop, WordPress/WooCommerce, Joomla / VirtueMart, OpenCart, Magento 2, Shopware 6 and Sylius; Forga has native Trackless measurement built in. Shoptet, Eshop-rychle, Upgates, Webareal, Webnode, Shopify, FastCentrik, Mioweb and Nody connect through a tracking snippet; custom builds use the API. Net revenue after cancellations and returns, margin from purchase (wholesale) prices, products, categories and ROAS from imported ad spend. Instead of raw turnover, you see performance numbers you can actually use for decisions. We connect visits and orders by…from trackless.cz
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- SAServerless Analytics Built from Scratch2018 · statsbotco.github.io · ▲114
- TATrackless - A GDPR-Friendly Google Analytics Opt-In Button2018 · github.com · ▲49

More growth this month
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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