Show HN: What if your synthesizer was powered by APL (or a dumb K clone)? (octetta.github.io)
Live Toolkit: https://octetta.github.io/k-synth/
If you visit the page, here is a quick path to an audio payoff:
- Click "patches" and choose dm-bell.ks.
- Click "run"—the notebook area will update. Click the waveform to hear the result.
- Click the "->0" button below the waveform to copy it into slot 0 at the top (slots are also clickable).
- Click "pads" in the entry area to show a performance grid.
- Click "melodic" to play slot 0's sample at different intervals across the grid.
The 'Weird' Stack:
- The Language: A simplified, right-associative array language (e.g., s for sine, p for pi).
- The Web Toolkit: Built using WASM and Web Audio for live-coding samples.
- AI Pair-Programming: I used AI agents to bootstrap the parser and web boilerplate, which let me vet the language design in weeks rather than months.
The Goal: This isn't meant to replace a DAW. It’s a compact way to generate samples for larger projects. It’s currently in a "will-it-blend" state. I’m looking for feedback from the array language and DSP communities—specifically on the operator choices and the right-to-left evaluation logic.
Source (MIT): https://github.com/octetta/k-synth
15 comments
[ 1.7 ms ] story [ 55.0 ms ] threadhttps://github.com/octetta/k-synth https://github.com/octetta/ksynth-desktop/
it's been a blast to play with... and a great excuse to learn array languages
https://mlochbaum.github.io/BQN-Musician/synth/index.html
https://dl.acm.org/doi/pdf/10.1145/75144.75174
(!!!)
(Wait, what? That Stanley Jordan?) (Yep.)
The evaluation order doesn't matter as much as you don't really know what kind of function/operator you have at parse time so have to do a bunch of shenanigans to defer that decision until runtime while still keeping it efficient. Kind of fiddly to get right but once it works, it just works.
Claude and me (and a ton of decades old research) pretty much figured out all the complications in the APL parse/eval stack (https://github.com/dan-eicher/AiPL).
https://octetta.github.io/k-synth