
Wondering
Duolingo for learning anything
In plain words
Wondering is a learning platform that breaks down complex topics into personalized lessons featuring visuals, podcasts, and interactive exercises. Users tell the app what they want to learn, and it creates a customized path through material, highlighting key ideas. The platform is designed for anyone seeking to understand and retain new information across various subjects, functioning as an interactive tutor that adapts to individual learning preferences.
written from the facts on this page · September 2026
From the sources
Wondering is the most delightful way to break down complex topics into knowledge you can remember and apply. Tell it what you want to learn, and it creates a personalized path of short lessons with visuals, podcasts, and interactive exercises. It surfaces the most important ideas and lets you explore them in your own way, like a thoughtful tutor beside you.
More work this month
the category →


The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com

The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d 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