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Show HN: Open-source macOS AI copilot using vision and voice (github.com)

430 points by ralfelfving · 983 days ago · 159 comments on HN

Article summary

The article presents an open-source macOS AI copilot that uses vision and voice to answer questions about any application. The copilot takes a screenshot of the active window, sends it to OpenAI's Vision API along with a transcript of the user's question, and displays the answer in a notification window. The application is built using NodeJS and Electron, and can be configured to use a keyboard shortcut to trigger the assistant. The developer provides a video walkthrough and instructions on how to install and use the application.

Main themes

  • AI-powered copilot
  • macOS application
  • Electron vs native technologies
  • security and regulatory controls
  • user experience and feature requests
  • open-source development
  • AI and machine learning potential
  • cloud services and data transmission concerns

What commenters say

  • The use of Electron for building the application is a practical choice, but some argue that native technologies like SwiftUI would be more suitable for a macOS-specific app.
  • The application's functionality is useful, but some express concerns about security and regulatory controls, particularly in corporate environments.
  • The developer should consider adding features like text input and streaming text responses to improve the user experience.
  • Some commenters believe that the application's reliance on cloud services and data transmission may be a concern for users with sensitive information.
  • The application's use of AI and machine learning technologies has the potential to revolutionize the way users interact with their devices.
  • The developer's decision to open-source the application is commendable, and the community should support and contribute to the project.
  • The application's limitations, such as the need for an OpenAI API key, should be addressed to make it more accessible to a wider range of users.
  • The project's potential for growth and improvement is significant, and the developer should continue to iterate and refine the application based on user feedback.