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Macsist
Explain anything you select on your Mac — local & private
Most AI helpers live in a browser tab: you copy, paste, switch windows, and send everything you read to the cloud. Macsist lives in your Mac's menu bar instead. Select any text or drag-select a screen region, press a hotkey, and a concise explanation streams into a glass panel right by your cursor: without ever stealing focus. It runs on a local or any OpenAI-compatible API. No cloud required, no Electron.
Hey Product Hunt! 👋
I read a lot of dense material — papers, foreign-language docs, error messages — and I was tired of the same loop: highlight, copy, switch to a chatbot tab, paste, wait, switch back. It broke my focus every time, and I wasn't thrilled about sending everything I read to the cloud.
So I built Macsist: a native macOS menu-bar app that explains whatever I've selected — or a region of my screen — right where I'm looking, with a single hotkey. It streams into a small glass panel by the cursor and never steals focus from what I'm doing.
Two things mattered most to me:
• Local & private — it runs on a local MLX model on Apple Silicon, fully offline. (You can also point it at any OpenAI-compatible API if you prefer.)
• Native, not Electron — Liquid-Glass panel, follow-up chat, searchable history, and 6-language support (UI + answers, with auto-translation for foreign text).
It's open source, and it's my attempt at "AI that fits into how you already work" instead of yet another tab. I'd love your feedback — especially on what you'd want it to explain next. 🙏
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About Macsist on Product Hunt
“Explain anything you select on your Mac — local & private”
Macsist was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #159 on the daily leaderboard. Most AI helpers live in a browser tab: you copy, paste, switch windows, and send everything you read to the cloud. Macsist lives in your Mac's menu bar instead. Select any text or drag-select a screen region, press a hotkey, and a concise explanation streams into a glass panel right by your cursor: without ever stealing focus. It runs on a local or any OpenAI-compatible API. No cloud required, no Electron.
Macsist was featured in Mac (103.6k followers), Productivity (655.7k followers), GitHub (41.3k followers) and Apple (15.5k followers) on Product Hunt. Together, these topics include over 183.6k products, making this a competitive space to launch in.
Who hunted Macsist?
Macsist was hunted by Seung Jun Lee. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Macsist stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Seung Jun Lee