npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2026 – Pkg Stats / Ryan Hefner

listener-ai

v1.6.2

Published

A lightweight desktop application for recording and transcribing meetings with AI-powered notes.

Readme

Listener.AI

AI-powered audio transcription with meeting summaries, key points, and action items.

Available as a CLI tool (via npm) and a desktop app (via GitHub Releases).

CLI

Install

npm install -g listener-ai

Or use directly:

npx listener-ai <audio-file>

Prerequisites

  • FFmpeg installed on your system (brew install ffmpeg / apt install ffmpeg)
  • Google Gemini API key from Google AI Studio

Setup

listener config set geminiApiKey <your-key>

Optional Notion integration:

listener config set notionApiKey <your-key>
listener config set notionDatabaseId <your-id>

Usage

listener recording.mp3                # Transcribe to default output dir
listener recording.m4a --output ./    # Transcribe to current directory
listener config list                  # Show all config values
listener config path                  # Print config file path

Supported formats: mp3, m4a, wav, ogg, flac, aac, wma, opus, webm

Output is a folder containing transcript.md and summary.md with speaker identification, Korean summary, key points, and action items.

Desktop App

Download from GitHub Releases:

  • macOS: Intel (x64) and Apple Silicon (arm64) DMG
  • Windows: x64 installer

The desktop app includes one-click recording, auto-transcription, Notion upload, and automatic FFmpeg download.

Configuration

Config is stored in your system application data folder:

  • macOS: ~/Library/Application Support/Listener.AI/config.json
  • Windows: %APPDATA%/Listener.AI/config.json
  • Linux: ~/.config/Listener.AI/config.json

CLI and desktop app share the same config file.

Getting API Keys

Google Gemini API

  1. Visit Google AI Studio
  2. Click "Create API Key"
  3. Copy the generated key

Notion Integration (optional)

  1. Go to Notion Integrations
  2. Create a new integration named "Listener.AI"
  3. Grant permissions: Read, Insert, Update content
  4. Copy the "Internal Integration Token"
  5. Share your database with the integration
  6. Get database ID from URL: notion.so/workspace/DATABASE_ID

Development

pnpm install
pnpm run start        # Run Electron app
pnpm run cli          # Run CLI locally
pnpm run dist:mac     # Build macOS
pnpm run dist:win     # Build Windows

License

MIT