15:I[981,["658","static/chunks/658-a698693f56d0116a.js","183","static/chunks/183-6beeeb801c274aaa.js","474","static/chunks/app/%5Btype%5D/layout-631c4730b83c8223.js"],"Posts"] 16:T606,I’ve been building a macOS study assistant called MindHalo, and I’m looking for feedback from people who work with study tools, macOS utilities, or Apple’s new Foundation Models.

The app is built with SwiftUI and uses Apple’s Foundation Models API, so all inference happens on-device. No cloud calls, no data sent to servers, and performance is fully local to Apple Silicon.

Features

AI Study Tutor

Responds to questions with follow-up reasoning

Minimal, focused chat interface

Study Guide Generator

Converts pasted notes into structured study outlines

Includes explanations and short examples

Saves guides locally (no backend)

Flashcards

Generates flashcards from any text

Simple flip-card UI with local progress tracking

Licensing

During the beta, anyone can generate a free lifetime license. Licenses are hardware-bound and remain valid even if the app becomes paid later. License generation page: https://mindhalo.techfixpro.net/ (one per IP)

Requirements

macOS 26+

Apple Silicon (no Intel support)

If anyone is interested, the project page has screenshots, details, and the current build: https://mindhalo.techfixpro.net/

I’d appreciate feedback on interface decisions, workflow, and overall performance — especially from people with experience in Apple Silicon optimization or local model integration.

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