Arkor
Fine-tune and Deploy Open-weight Models in TypeScript
Arkor launched on July 22, 2026 with 142 votes, #253 of 24,623 launches that month and more than 95% of that year's launches.
What it does
Start a real LLM training in 10 minutes. Tell Claude Code or Codex what the model is for; they prepare the datasets and create the training project. Click "Run Training" in the local studio. Arkor runs the training, and deploys the trained model as an OpenAI-compatible API. Think Next.js and Vercel for fine-tuning: code you can review, infrastructure you do not have to manage, and a model your app can call. No GPU setup. No ML expertise required. No Python training code to write.
Fine-tune and deploy the model behind your product, all in TypeScript. Tell your coding agent what to build; Arkor trains it on managed GPUs and serves it behind an API your app can call.
Use Arkor to fine-tune a model that rewrites rough drafts as tweets in my style: https://github.com/arkorlab/arkor Find or prepare a suitable dataset, create the TypeScript training workflow, and tell me when it is ready to review in Arkor Studio. It prepares the dataset, writes the TypeScript trainer, and adds evaluation inside your repo. Review every change before training. Your coding agent runs pnpm dev and launches Arkor Studio at localhost:4000. Review the detected trainer, click Run Training, and follow the training progress infrom arkor.ai
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