NumberHill Analytics
Know which visitors turn into revenue
What it does
See exactly which marketing channels bring paying customers. NumberHill connects your web analytics to Stripe, LemonSqueezy, Polar, Shopify and Dodo Payments. then, The whole journey of when your customers first see your brand to when they never return or paid for your service can be tracked.
See exactly which marketing channels bring paying customers. NumberHill connects your web analytics to Stripe, LemonSqueezy, Polar, Shopify and Dodo Payments.
NumberHill ties your web traffic directly to Stripe, LemonSqueezy, Polar, Shopify and Dodo Payments — so every channel, page and campaign gets a real dollar value. Newsletter earns 3.2× more per visitor than Google — on 3% of the traffic Click through the whole product below, running on a sample workspace called DrapX . Point it at your own site and every figure becomes yours. Visitors AI answers sent — attributed by engine, with the revenue. Web analytics tells you what happened on your site. NumberHill tells you what it was actually worth . Watch high-value visitors move through your site in real time, and fire webhook automations off their behavior instantly. Follow visitors from first…from numberhill.com
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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