new-term-radar

A daily monitor for emerging AI model, product, tool, and repo names, helping SEO and content teams spot new search opportunities before keyword tools do.

Share on XLicense: MIT

Overview

New Term Radar tracks names of emerging AI models, products, tools, and repositories before they appear in conventional keyword tools. It checks early signals from X, Hugging Face, GitHub, sitemaps, newly indexed sites, and Google Search Console, then uses Google Trends later to review earlier leads. A daily keyword table pairs each new name with related generic searches and a decision. Use it from the command line, through three Agent Skills, or as an MCP server.

Key features

  • Checks X, Hugging Face, GitHub, sitemaps, newly indexed sites, and Search Console for early signals.
  • Groups quantized Hugging Face copies under their base model name and flags fast-growing young GitHub repositories.
  • Builds a daily table pairing new names with generic searches, estimated demand, trend data, and a decision.
  • Rechecks leads in Google Trends after 14 days to measure hit rate and how early each signal appeared.
  • Available from the command line, through three Agent Skills, or as an MCP server.

Best for

Useful for SEO and content teams creating pages, posts, or products around emerging AI topics. Pick it when you want to spot names and related search terms before conventional keyword tools show them.

Upstream
zhuyansen/new-term-radar
Fork on GitHub
Guo-astro/new-term-radar
Upstream stars
624
Category
Developer tools and infrastructure
Language
Python
License
MIT
Forked
2026-10-12
Sync status
Updated by last syncLast synced 2026-10-14