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.
Install New Term Radar
Pick your client, then add it in one click or paste the config.
~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"new-term-radar": {
"command": "uvx",
"args": [
"--with",
"mcp",
"new-term-radar"
]
}
}
}
Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.
We couldn’t confirm it starts correctly
The install command installed and started the server, which then stopped for configuration (such as an API key) that our sandbox does not have — expected for servers that connect to your account.
uvx --with mcp new-term-radarNo response to initialize.
This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 2d ago.
Overview
Security & health
What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.
Recent health check succeeded.
Supply-chain signal
No high-severity advisories surfaced by our automated scan.
Scanned 2d ago via OSV.dev · new-term-radar (PyPI)
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
From the project README
new-term-radar
Catch the names AI people are about to search for, the day they appear, before keyword tools list them.
⭐ 700+ stars on its first day, 1,000 in just over three · on PyPI, the official MCP Registry, Cursor Directory, LobeHub, Tessl, ClawHub and skills.sh
Quick start · What it reads · The keyword table · Agents and MCP · config.json · 中文说明
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 0.6.0 added. On the keyword table: word age, markets, page-one shape, the twelve months, your own rank, what else holds page one (threads, an AI overview) and the exact-match .com. The first words ③'s new sites rank for, what ChatGPT recommends for ⑦'s asks, three more payment platforms and the builders on ⑧, ⑨ just listed, ⑩ money and the evidence beside the names. All of it is in CHANGELOG.md.
| 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, each new one with the first words it ranks for in Google's top 20, in any country: searches a site that new already reached | AIsa key | about $0.13 per query, weekly; about $0.013 a new site for its words |
| ⑦ Asks | What people ask for on Reddit ("is there an AI tool that…", twelve phrasings), X, Stack Exchange (Software Recommendations and three more) and Freelancer.com: 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, plus a few cents for X |
| ⑧ Sellers | Sites that just put up their first payment link (Stripe Payment Links, Polar, Lemon Squeezy, Gumroad, Creem, Paddle, Dodo Payments, Waffo Pancake), from the public link graph with the day each site first linked; new pages of old sellers, platform pages, forums and one link shared by several new sites (a network's) left out; the site's own description goes to the keyword table, and with GoAnyAPI its visits, its domain's registration and where its visitors come from (the AI share) | AIsa key; GoAnyAPI optional | about $0.50 a week |
| ⑧b Builders | Sites just built with Lovable or v0 and newsletters just started on beehiiv, read off their badges; only the software among them becomes a lead | AIsa key | about $0.15 a week |
| ⑨ Just listed | New on Product Hunt, Show HN, OpenRouter, Civitai, the App Store's top-grossing charts and awesome lists (free); weekly, the pages Google indexed under Figma plugins, There's An AI For That and the Chrome Web Store, trending searches on Douyin, TikTok and Reddit, and rising searches next to root words ("ai generator") | nothing for the free lists; AIsa and GoAnyAPI keys for the rest | free; about $0.02 a path, $0.001 a trending list, 6 GoAnyAPI credits a root word |
| ⑩ Money | The other sites on a paying tool site's AdSense account (its owner's other niches), and the advertisers new on your own terms (Google Ads Transparency) | GoAnyAPI key | 3 credits a site each way, 4 a term; weekly |
| Beside the names | For the day's strongest new names: new domains carrying the name (whois, or crt.sh certificates), Wikipedia views, what Google knows it as, Discord servers; for paying products, the "alternative", "vs", "free", "pricing" and "review" searches | AIsa key; GoAnyAPI for Discord | about $0.12 a name read by whois, $0.09 for the searches |
| 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 DataForSEO 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 key | a fraction of a cent per run |
Prices are what AIsa charged in October 2026. With the example config (35 X accounts read three times a day, the keyword table for 5 names a day) a month costs about $15: $10 for the X reads, $5 for the keyword table. Read fewer accounts, or read them once a day, and it drops in proportion.
The keyword table
A name is half of what you need. "SynthID Detector" has a short life as a keyword and belongs to Google; the job it does, "ai image detector", is what people keep searching, and nobody owns it. Each day the radar reads the new names once more and writes one table with both:
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