ASO Japan
Decode Japan's App Store keywords and competitors
What it does
ASO Japan helps app teams enter and grow in Japan's App Store. Research Japanese keywords, compare demand and competition, browse ranked related apps, track your own app's positions, and spot the next keywords to test.
Download ASO Japan by Takahiro Aminaga on the App Store. See screenshots, ratings and reviews, user tips, and more apps like ASO Japan.
Developer Tools Developer Takahiro Aminaga Language EN English Size 7.3 MB iPhone ASO research for Japan's App Store. Compare keyword demand, competition, opportunities, and ranked related apps to keep improving after launch. For companies, studios, and independent developers publishing on the App Store: Do not stop at launch. Use data to understand your position and keep making your app better. ASO Japan is an app store optimization research tool focused on Japan's App Store market. Enter a keyword to review estimated demand, competition, and opportunity in one place. Compare related apps in ranking order and quickly check app names, developers, ratings, and review counts. Key features •…from apps.apple.com
Does the same job
all alternatives →More dev tools this month
the category →



Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.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