ASOGrade – App Store keyword research using Apple Search Ads demand
App Store keyword research for iOS developers. Score any keyword by Apple Search Ads demand and ranking difficulty across all 109 storefronts.
What it does
Real Apple Search Ads demand for every keyword, scored across all 109 App Store markets. The same number advertisers bid on, scored across all 109 markets. Apple puts it at around 70% of how visitors find apps. Rank for the words they actually type, and you become one of the results they are already looking at. That is a real download, from someone who was already searching for what you built. Most of the keywords you are considering are not worth using. ASOGrade shows you which ones people are actually searching , and you put those in your metadata. Every app above you already did this research. Paste their App Store link and you get their whole keyword list, scored just like yours. A…from asograde.com
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 · 17d ago · simedw.com