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.
- Transport
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No install snippet on purpose. A working MCP config is a command, its arguments and an environment block — the last two are where API keys live, so this catalogue never stores them and cannot publish them. Follow the link above for the authors' own instructions.
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.
Why
A new name leaves a trail, in this order:
- A lab or a well-followed account says it on X; a model enters Hugging Face's trending list.
- One GitHub repo takes off on its own.
- Directories and competitors add pages for it; someone registers a domain for it and the site starts to rank.
- Your own site gets its first search impressions for it.
- 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.
What it reads
Purple, tagged NEW: what 0.3 and 0.4 added (⑥ revenue, ⑦ Reddit asks, the page-one check, the format and ⚡ marks, the pains command).
| 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 and Spaces (the demos people try) new to the trending top 50; quantised copies and a model's own demo 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 use ("niko strata") | nothing (a GitHub token raises the rate limit) | free |
| ③ Sitemaps | Words that several new URLs on a site share and its older URLs rarely carried. The example config watches eight AI tool directories (toolify, aixploria, ai-bot.cn, opentools, dang.ai, clipfly, aitoptools, futurepedia) and four MCP and skill directories | the sitemaps you list | free |
| ③ New sites | Domains registered and first indexed in the last 90 days that already rank for 20+ keywords | AIsa key | about $0.13 per query, weekly |
| ⑦ Asks | What people ask for on Reddit ("is there an AI tool that…", twelve phrasings): a model keeps the requests and complaints an AI tool could answer and writes each job as people would search it; jobs with searches get the page-one check | AIsa key | about $0.12 a week |
| ⑥ Revenue | Products people pay for, from TrustMRR's verified revenue: the fastest growing ($500+ in 30 days) and the newest listings; one at $0 last time and earning now is called out first. Its own description goes to the keyword table as evidence | TrustMRR key | free, 6 requests, weekly |
| ④ Search Console | Queries your site got impressions for, for the first time (fresh data) | your own Google token | free |
| ⑤ Review | Each lead checked in Google Trends 14 days later, against its own baseline; hit rate and days ahead per signal | AIsa key | $0.0012 per search variant |
| Keyword table | For the day's new names: the generic search terms behind them (what people do with the new thing), each sized, checked for room on page one, and given a decision | AIsa key; GoAnyAPI key optional | about $0.18 a day for 5 names, $0.30 with GoAnyAPI |
| Name judge | A small model scores every term: the name of one specific thing, or a common word? | AIsa |
From the project's README.