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@shiromie/tech-news-cli

v0.1.1

Published

High-performance Go-powered Hacker News CLI, optimized for humans and AI.

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Links

Git

Maintainers

shiromieshiromie

Keywords

hacker-newscligonewsai

Readme

tech-news-cli

High-performance Hacker News CLI, powered by Go.

Table of Contents

Introduction

tech-news is a high-performance command-line interface for browsing Hacker News. It is built in Go to leverage its powerful concurrency model, allowing for rapid fetching of story details and comments through parallel requests.

Whether you are a human browsing for the latest tech trends or an AI agent like Claude Code or Cursor looking for structured data, tech-news provides the speed and flexibility you need.

Installation

Install globally via NPM:

npm install -g @shiromie/tech-news-cli

Note: The NPM package includes pre-compiled binaries for major platforms (macOS, Linux, Windows).

Usage

Human-friendly Output

The default output is optimized for readability in your terminal.

# List the top 10 stories
tech-news list

# List 20 of the newest stories
tech-news list --type new --number 20

# View details and top comments for a specific story
tech-news view 8863

Machine-friendly Output (JSON)

Use the --json flag to get raw data, perfect for piping into other tools or processing with AI agents.

# Get top stories as JSON
tech-news list --json

# Get details for a specific item as JSON
tech-news view 8863 --json

Features

  • 🚀 Blazing Fast: Leverages Go routines for parallel data fetching.
  • 🤖 AI-Native: First-class support for JSON output, making it easy for AI agents to parse and analyze.
  • 🛠 Simple & Focused: Does one thing well—bringing Hacker News to your terminal.
  • 📦 Zero Dependencies: The compiled binary is all you need.

AI Integration

tech-news is designed to be the eyes and ears of your AI development assistant. You can instruct your AI to:

  1. "Fetch the top 10 stories from Hacker News in JSON."
  2. "Find articles related to 'LLMs' or 'Rust' from that list."
  3. "Fetch the comments for the most relevant article and summarize the community sentiment."

License

MIT © Daiki Shiroma