Getting found · Independent · 22 Oct 2026

zhuyansen/new-term-radar

Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.

← Getting found
New Term Radar: AI trend finder. Catches new AI terms before search tools list them.

In simple English

This tool acts like an early warning system for new terms in artificial intelligence. It reads social media posts, trending code repositories, and new website directories every day. It spots brand-new model names and project titles before search engine tools even know they exist. If you build websites, write newsletters, or run marketing campaigns for tech products, it gives you a head start on what people will search for tomorrow. It costs nothing to run most checks, though some advanced features require a paid API key for data lookups.

What it is

A Python command-line utility and MCP (Model Context Protocol, a way for AI agents to talk to local tools) server that aggregates raw signals from X, Hugging Face, GitHub, and sitemaps. It filters the noise, judges which terms are actual product names, and builds keyword priority tables to help with content strategy.

What it is good for

Solo builders and content creators who want to find emerging tech trends, new software libraries, and breakout AI tools days or weeks before standard keyword research platforms catch them.

Stars1.6k
LicenceMIT
Latestv0.5.0 (2026-10-20)checked 22 Oct 2026
Last code change2026-10-21
Written inPython
Setup effort
3 / 5
Payoff
4 / 5
Good
  • Catches fast-rising repositories and model names automatically every day.
  • Integrates with AI coding assistants and agents through MCP and custom skills.
  • Provides structured keyword priority tables to help decide which topics to cover.
Watch for
  • Requires an external API key for full functionality, which adds ongoing running costs.
  • Setup involves configuring a JSON file with specific API credentials and social media accounts.
  • Google Trends data can be volatile and requires interpretation to avoid false alarms.
Replaces

manual keyword research and slow SEO tools

Works well with

Cursor

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Install
git clone https://github.com/zhuyansen/new-term-radar
cd new-term-radar
pip install .

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: Data & Research › Market & Competitive Research › Trend Research.

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