Hey Hacker News!I built Writekin over the past week because I was tired of AI writing that didn t sound like me, even though I had just used AI to clean it up, rather than wholesale write it.The usual fixes I found online for this were:- Some sort of SKILL.md, or- A system prompt full of rules to strip the generic AI tells (e.g. no em-dashes, none of the stock phrases, varying the sentence length, etc).While those cleaned up the surface a bit, Pangram still came back as ~100% AI written, which was frustrating, as again it was mainly taking my sloppy copy and tweaking it.So when building Writekin I took a different route: Writekin fine-tunes a local model on your own writing. It reads what you ve already written (Apple Mail, iMessage, local documents, chat exports), curates it into a training corpus, and runs a QLoRA fine-tuning on-device via Apple s MLX. A Compose screen then drafts and rewrites in that voice.Everything runs on your Mac. Ingestion, training, and generation are all local. The only network calls are:(1) When you download the model weights from Hugging Face and(2) The Sparkle update check.Training on your own Mail/Messages only felt okay to ship if the end user could verify that, so the source is public — so you can read exactly what it does!Quick gut check: It s v0.9 and the output is uneven. Honestly, sometimes it nails your voice, and sometimes it s just completely off. This is more a this is possible and kind of works than a finished product.Would genuinely love feedback!Source: https://github.com/scouttyg/writekin