Anything Piano
Learn any song on piano
What it does
This is the first piano learning app that can teach you literally any song. You input a YouTube/Tiktok/Insta link or audio file. We can turn it into a piano roll tutorial, listen to you play, and tell you if you're hitting the right notes. Existing piano education apps rely on a set catalog of songs, and not all songs have piano tutorials available on YouTube. We broke free from this limitation by training our own foundational AI models for music transcription, arrangement, and live feedback.
Anything Piano is the next generation of piano learning, built by music teachers and top AI researchers who've helped over 700,000 musicians play the songs they love.
Join the next generation of piano learning, built by music teachers and top AI researchers who've helped over 700,000 musicians play the songs they love. Anything Piano is an AI-powered piano learning app. Users drop in any song — a pop track, a full-band recording, a YouTube link, or a solo piano piece — and Anything Piano turns it into an interactive piano roll users can practice with while the app listens to their playing, gives real-time feedback on accuracy, and lets them practice one hand at a time or both together. Songs are shown as a piano roll, not as sheet music. Anything Piano is available now on the App Store for iPhone and iPad. If you don't have an Apple device, you can join…from playanything.com
Does the same job
all alternatives →More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.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