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Pond

Consulting, Sales
Pond helps you manage messages efficiently saving you hours weekly
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Role Consulting, Sales

Pond is a messaging tool designed to save users 3-5 hours a week by prioritizing important messages and streamlining communication.

Key Features:

  • Priority message display
  • Automatic tagging and filtering
  • Snooze and schedule send options
  • AI-generated customizable message drafts
  • Lightning search and keyboard shortcuts

Use Cases:

  • Managing personal and team communications
  • Responding to urgent messages efficiently
  • Organizing conversations with automatic tags
  • Preparing quick replies with one-click drafts
  • Scheduling messages for optimal delivery

Benefits:

  • Increased productivity through time savings
  • Improved message organization and clarity
  • Enhanced response speed with keyboard shortcuts
  • Reduced clutter in messaging platforms
  • Personalized communication with automated replies
  • Installs macOS (ARM64) desktop app via direct download or Homebrew cask (brew tap pond-ai/pond).
  • Connects to iMessage on Mac and reads/indexes conversations for search and automation.
  • Indexes and auto-tags conversations locally to surface priority messages and enable search.
  • Provides fast keyboard-driven search/navigation across messages (lightning search).
  • Lets users snooze conversations and schedule message sends from within the app.
  • Generates one-click AI message drafts and in-conversation personalized replies.
  • Generates on-demand conversation recaps/summaries of selected threads.
  • Offers Pro features (Quick Draft, Auto Draft) that send selected text to third-party AI providers.
  • Sends only explicitly selected conversation content to external AI services for Pro features.
  • Stores and processes Google Calendar data locally and can create calendar events when connected.
  • Performs message indexing/filtering on-device by default; optional server-side processing for Pro.
  • Uses Stripe for payments and provides a Homebrew repo to automate installation via GitHub.
The Agent has not listed any skills.