Jupiter Optimus

A task manager that closes your GitHub issues for you

Productivity

Task Management

Developer Tools

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Hi Product Hunt 👋 I build software, and for years I lost the same twenty minutes a day: reading a GitHub issue, retyping it into a todo app, doing the work, then going back to close the issue by hand. Every task manager I tried treated my issue tracker as a different universe. So Jupiter Optimus starts there. Point it at a repo and the issues arrive as tasks, routed into whichever project you choose. Complete the task and the issue closes itself on GitHub or GitLab. Open pull requests show their CI state and review decision, and tell you when a check fails or a PR merges. Write-back is off by default — writing to your repo should be a choice, not a surprise. Two other decisions worth explaining: 🔑 The AI assistant runs on YOUR API key — Anthropic, OpenAI, Google, or a model server you run yourself. Requests go from your device straight to the provider. No proxy of mine in the middle, no markup, no second subscription. I did not want to sell you AI; I wanted to get out of the way of the AI you already pay for. 🔒 There is no account, because there is no server. Your tasks live on your device and in your own private iCloud database. No analytics, no ads, no third-party SDKs. The App Store privacy label says "Data Not Collected", and it is accurate rather than aspirational. Also in there: GTD start dates and Someday, a kanban board and calendar, a Pomodoro timer with time tracking, Live Activities and widgets, and importers for Todoist, TickTick, Apple Reminders and pasted text. Built solo in SwiftUI and SwiftData for iPhone, iPad and Mac. One subscription covers all three through Universal Purchase. $9.99 a year with a 7-day trial — one price, no free tier with the good parts removed, no upsells. Honest limitations: it is Apple-only, it is English-only for now, and self-hosted GitLab is not supported yet (gitlab.com only). I will be here all day. Ask me anything — especially about the SwiftData and CloudKit parts, which were by far the hardest.