All workmacOS · In development

PRODUCT ENGINEERING CASE STUDY

MeetingMind

Meetings remembered privately.

A private Mac meeting companion being built around local capture, transcription, search, summaries, and meeting memory.

MeetingMind app interface
ACTUAL PRODUCT INTERFACE

THE PRODUCT PROBLEM

Systems the app
had to coordinate.

Meetings combine real-time audio, speaker turns, long-lived searchable context, and sensitive information. The architecture must preserve privacy without hiding capture and processing state from the user.

KEY ENGINEERING DECISIONS

Choices that shaped
the implementation.

01

On-device processing

The product is designed around local transcription and meeting intelligence on supported Macs.

02

Visible capture state

Recording, transcription, and processing status remain explicit throughout the workflow.

03

Meeting memory as a product

Transcripts, summaries, search, chat, and action items share a durable local information model.

DELIVERED

What the build includes.

Native macOS applicationSystem-audio capture workflowLive transcription surfaceSpeaker-aware meeting recordsLocal search and chat architectureSummaries and action-item workflow
VERIFIABLE PRODUCT STATEWorking product under active developmentNative Mac capture surfaceLocal-first architecture

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