Desktop product design
Window structure, navigation, keyboard workflows, settings, onboarding, and the first release scope.
NEW DESKTOP PRODUCTS, REBUILDS, AND RELEASE WORK
I design and build desktop products with Swift and AppKit, Electron, Tauri, React, or a hybrid architecture. The choice depends on the operating systems, existing code, performance needs, and release plan.
Discuss your appWHAT IS INCLUDED
Window structure, navigation, keyboard workflows, settings, onboarding, and the first release scope.
Swift and AppKit for Mac-specific depth, Electron for mature web teams, or Tauri for a smaller cross-platform shell.
Audio capture, keyboard shortcuts, clipboard, menu bar, file access, accessibility, background services, and installers.
Speech, language, audio, media, and agent workflows using local runtimes or provider APIs.
Direct-sale licensing, activation, secure local credentials, purchases, refunds, and entitlement state.
Sparkle feeds, signed archives, notarization, Gatekeeper verification, appcasts, and production release workflows.
TECHNOLOGY
RELATED WORK AND NOTES
A private voice studio for Mac.
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ENGINEERING NOTE · 8 minA Mac product needs model lifecycle management, memory guards, permissions, updates, licensing, and failure recovery.
ENGINEERING NOTE · 8 minUse privacy, latency, cost, resilience, model lifecycle, and hardware limits to choose a local, cloud, or hybrid architecture.
COMMON QUESTIONS
Both. Swift and AppKit fit products that need deep Mac integration, low overhead, or local model performance. Electron fits teams with a mature web codebase and broader desktop plans. Tauri is another option when bundle size and system access matter.
Yes. I can define the product, select the architecture, design the desktop experience, and build the first release. A script, model, mockup, or rough brief is enough to begin.
Yes. I can prepare Developer ID signing, notarization, Sparkle updates, licensing, and download delivery. Mac App Store work is scoped separately because its sandbox and policy constraints differ.
When the model and target hardware make that practical. I assess memory, latency, model size, quality, and fallback needs before choosing local, cloud, or hybrid inference.
DISCUSS THE PROJECT
I’ll review the starting point and tell you whether the work fits the studio.
Book a product call