Launched this week
PopAir

PopAir

Your All-in-one AI Copilot for MacOS

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PopAir is the native macOS AI powerhouse built for speed and seamless integration. Using SwiftUI for 5x less RAM, it brings the world’s best models into one experience. • Unified Hub: GPT, Claude, Gemini & DeepSeek in one place. • Image Studio: Generate, edit, and upscale instantly. • Smart Meetings: One-click recording, transcription, and AI summaries. • System-wide: Instant OCR, translation, and rewriting via the Magic Panel (⌥⌥). One subscription. The AI superpower your Mac.
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Launch tags:Productivity•Artificial Intelligence
Launch Team / Built With
Framer
Framer
Launch websites with enterprise needs at startup speeds.
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What do you think? …

Hasan Aydın
PopAir
Maker
📌
Hello Product Hunt! 👋 I’m Hasan, the creator of PopAir. As a engineer and designer, I’ve always been obsessed with the bridge between technical power and seamless experience. I built PopAir because using AI on macOS felt broken. Fragmented between dozens of browser tabs, heavy Electron apps, and expensive, overlapping subscriptions. The Vision: What Apple Intelligence should have been. We didn't just build another AI chat window; we built a native powerhouse. PopAir is designed to be the "missing layer" of macOS. Multi-model, context-aware, and deeply integrated into your system. Why PopAir? ⚡ Native Speed: Built with SwiftUI for ~5x less RAM usage than Electron alternatives. It’s ultra-light and instant. 🎯 Magic Panel (⌥⌥): Double-tap Option on any text, in any app, to trigger AI actions without breaking your flow. 🤖 Multi-Model Freedom: Access GPT, Claude, Gemini, and DeepSeek in one place. One subscription, zero "subscription fatigue." 🎙️ Smart Meetings: Record, transcribe, and summarize meetings with one click. 👁️ Context-Aware: Use "Ask with Window" to let PopAir "see" your active screen or analyze YouTube videos instantly. AI shouldn't be another tab you manage; it should be a superpower built into your Mac. I’d love to hear your feedback! What features would make PopAir the ultimate tool for your daily workflow? 🚀
Piroune Balachandran

@hasanaydins SwiftUI over Electron matters more now than two years ago. AI tools already compete for RAM and GPU, so a menu bar assistant shipping Chromium is fighting your actual workload for resources. The double-option-key trigger on selected text is where PopAir pulls ahead of Raycast AI and BoltAI. Those tools are solid but they context-switch you into a separate panel. Acting on text in-place without leaving your app is a bigger deal than it sounds.

Hasan Aydın
PopAir
Maker

@piroune_balachandran Spot on, Piroune! You hit the nail on the head regarding the native vs. wrapper debate.

Since PopAir is built with SwiftUI, it stays lightweight and doesn't fight for system resources. When running heavy AI workflows, the last thing a user needs is a menu bar app hogging RAM.

My main goal with the double-tap trigger was to eliminate context switching. Acting on text in-place keeps you in the flow state, which is the core DNA of PopAir. I'm glad to see these architectural choices resonating with you! 🚀

Misha Mavrin

An AI assistant for my entire Mac workflow? I'm sold. Want to dive in immediately!

Hasan Aydın
PopAir
Maker

@misha___mavrin Thank you Misha!

Viktor Shumylo

Congrats on the launch! Treating AI as a native system layer instead of a separate app feels like the right direction for macOS. How do you think about managing context boundaries, especially when PopAir can see active windows, so actions stay helpful and precise without pulling in too much or the wrong context?

Hasan Aydın
PopAir
Maker

@vik_sh Thank you, Viktor. Managing context boundaries is indeed the 'secret sauce' for making a tool like this feel truly native.

I use a hybrid approach to keep the context clean and precise:

  • For Browsers: If the active window is a web page, PopAir (via the browser extension) parses the content, strips away the noise (ads, menus, etc.), and converts only the relevant data into Markdown. This ensures the AI gets a clean, semantic structure to work with.

  • For Native Apps: When dealing with other macOS applications, we use vision-based context by capturing the active window. This allows the model to 'see' the UI and content just as the user does, providing help based on the visual context.

By switching between structured Markdown and visual data depending on the environment, we maximize precision and prevent irrelevant 'noise' from polluting the session.

Tugay Pala

multi-model switching is what i need - different models for different tasks. can you set defaults per app?