Admetrics
Profit-first marketing analytics for DTC brands
What it does
Maximize ad performance with Admetrics: scientifically based data for faster, smarter budget decisions.
Know what earns. Move the budget. Multi-touch attribution, MMM and profit reporting for e-commerce brands. Turn budgets into profit.
Know what earns. Move the budget. Admetrics connects your shop and ad accounts, shows what every campaign really earns after costs, and moves budgets toward what works. Manually or on autopilot. From every click and cost to the next budget decision. One continuous system built around contribution profit. Our mission is to help you acquire customers more efficiently, and keep them longer. Every order, every ad, every cost in one governed layer. Your team, your tools and your AI finally work with the same truth. Admetrics follows real customer journeys and proves what actually wins you new customers. Backed by experiments, not by platform claims. See what every campaign, customer and creative…from admetrics.io
Does the same job
all alternatives →More growth this month
the category →
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