
PlayByEar
Train Your Ears and Play What You Hear
What it does
Structured Daily Ear Training 50+ exercises across 5 categories, each with beginner, intermediate, and advanced levels. Built-in Music Theory 50+ interactive theory topics with audio examples and on-screen piano visualisation. Structured progression - see your accuracy, streaks, focus areas, and daily progress. A review system helps you practise what needs attention. Global leaderboard Works on any device Affordable - £6/month 7-day free trial
Does the same job
all alternatives →- IMI made a memory game to teach you to play piano by earJan 2026 · lend-me-your-ears.specr.net · ▲565
- PPPerfect Pitch Puzzle – a musical Wordle daily ear training game2023 · perfectpitchpuzzle.com · ▲225
Hi all! Thanks for checking out the side project my family and I have been working on (on and off) for the past year. We were playing wordle when we thought: wouldn't it be fun if you had to guess musical notes (ABCDEFG) instead of words? And what if the notes you had to guess were actually the first six notes of a familiar melody? My brother and I both have perfect pitch, which has been really helpful when we want to cover a song that we like, or improvise in a jazz or blue grass setting. We don’t promise that this game will help you gain perfect pitch, but it is possible to train your ear…
- PTPiano Trainer – Learn piano scales, chords and more using MIDI2025 · github.com · ▲203
- ETEar training using midi.js2015 · tonedear.com · ▲230
- PTPiano Trainer – Learn piano scales, chords and more using MIDI2022 · github.com · ▲159

More work this month
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Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com