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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.

⭐ 893 stars
⑂ 361 forks
Python
momentum ▲ 5187.0
created 2026-10-12
on radar since 2026-10-13
star trend 755 → 893 since 2026-10-13
agent-skillsaiaisaclaude-codeclaude-skillsgoogle-trendskeyword-researchmcpmcp-serverseotrends
View on GitHub ↗

About new-term-radar

A daily report of the names that are starting to surge in AI: new models, products, tools and repos, caught where they are said first, before they show up in keyword tools.

Built for people who make pages, posts or products around new terms: SEO for AI tool sites, newsletters, directories, anyone who wants to know about "Strata" or "Seedance" the day it appears and not two weeks later.

A new name leaves a trail, in this order:

1. A lab or a well-followed account says it on X; a model enters Hugging Face's trending list. 2. One GitHub repo takes off on its own. 3. Directories and competitors add pages for it; someone registers a domain for it and the site starts to rank. 4. Your own site gets its first search impressions for it. 5. Google Trends shows the curve, days or weeks later.

Keyword tools read step 5. This radar reads steps 1 to 4 every day and uses step 5 only to check itself.

One example it was built around: Niko1221/Strata was created on 2026-09-24 and had 7,700 stars nine days later. People were searching "niko strata" from 9/26, while no second repo carried the name and no keyword tool listed it. A single repo gaining 800 stars a day is the whole signal, and it is public.

Signal What it catches Needs Cost ------------ ① X Names the accounts in your list used for the first time in 60 days AIsa key $0.003 per account per run ① Hugging Face Models new to the trending top 50; quantised copies grouped under the base name nothing free ② GitHub breakout A repo under 14 days old averaging 200+ stars a day, or +400 since yesterday; adds the search variants people u

From the project README.

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