As a long-time Mac user, I deeply feel the frustration of repeatedly hunting for apps in LaunchPad every day, and have experienced the predicament of a 256GB drive filled up by Xcode and AI models. No tool on the market solves all these core pain points at once.
LaunchPad's rigid grid layout makes apps impossible to find when you have many. Spotlight only searches by name, lacking visual grouping and custom management — extremely inefficient. Users waste significant time finding apps every day.
256GB base-model Macs are overwhelmed by professional software and AI models that easily reach tens of GB. System-level app migration is too complex, and third-party cleanup tools vary widely in quality — easily causing data loss.
Experiencing local AI requires fiddling with Homebrew, model downloads and parameter tuning in the terminal. Command-line operations are extremely unfriendly to ordinary users — even professional developers frequently need to look up tutorials online.
From app launch efficiency to storage management to AI inference capabilities — covering the most pressing needs of Mac users.
Fully replaces LaunchPad / Applications, providing custom grouping, drag-and-drop sorting, Dock auto-follow, dynamic running-app management and more. Compresses the 5-10 second app-finding process to under 1 second.
One-click migrate infrequently used apps to external drives, seamlessly recall when needed. Built-in disk analysis, space alerts and smart migration suggestions — overall system responsiveness improves accordingly.
Built-in AI inference engine supports multi-model parallel running and OpenAI-compatible API — developers can get code completion and text generation locally. No network needed, no worries about data privacy leakage.
Core user groups range from ordinary users with tight storage to professional developers pursuing ultimate efficiency.
Drive space chronically tight, urgently needing a safe and reliable app migration solution to free up system disk space.
Open dozens of apps daily, need quick locating and launching of tools to maintain smooth workflows.
Want to run AI models locally without fiddling with command line, need a graphical model management tool.
Need to batch manage large numbers of apps, unify team's app launching and tool deployment processes.
Built on native macOS tech stack, ensuring performance, security and deep system integration.
Native macOS UI framework, supporting frosted glass effects, animated transitions and accessibility — ensuring perfect fusion with system style.
Three core modules run independently with unified scheduling. App management handles grouping and launching; storage management handles migration and symlinks; AI engine encapsulates model loading and inference.
Deep calls to macOS system APIs: Launch Services manages app registration and launching, File Manager handles file migration, Metal GPU accelerates AI inference.
Local database stores configuration, Keychain protects sensitive information, App Sandbox ensures data isolation and security.
Not only boosts personal efficiency, but also creates positive impact in AI democratization and environmental sustainability.
Fundamentally reshapes the app interaction paradigm for Mac users. Custom grouping, drag-and-drop sorting, Dock auto-follow and other features compress app-finding to under 1 second. Built-in AI inference engine supports multi-model parallel running — developers no longer wait for network round-trips, no worries about data privacy leakage.
Encapsulates AI inference capabilities into an intuitive graphical interface, supporting drag-and-drop model install and one-click service launch. Most local AI tools remain at the command-line level, excluding ordinary users. This app truly makes local AI accessible to everyone.
App migration and disk management features extend the lifespan of mid-to-low-spec Mac devices, reducing e-waste from premature upgrades due to insufficient storage. Every extended Mac lifecycle is a contribution to the environment.
Local AI inference completes entirely on-device, data never leaves the user's device. In an era of increasing data security importance, using local proxy services for cloud AI inference further avoids the leakage risk of cloud APIs.
From core features to ecosystem expansion, delivering value in phases.
Implement basic app management features: custom grouping, drag-and-drop sorting, global menu bar invocation, smart search, Dock integration. Replaces LaunchPad as the primary launch method.
Integrate disk analysis, space visualization, one-click app migration (system disk ↔ external drive), symlink management, data integrity verification.
Built-in local AI inference engine, supports GGUF quantized and multimodal model formats, GPU accelerated inference, OpenAI-compatible API, graphical model management interface.
Plugin system, model marketplace, team collaboration, cross-device sync (mobile devices / Agents hosts), community co-creation.