New-Term Radar
概览
作者提供的说明（英文原文）
New AI model, product and repo names as they surface, and the search terms behind them, sized.
PopNx MCP 的三大支柱
这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
- 使用情况i非常新↓ 184/周 · ★ –
它能帮你做什么
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
- 连接方式: 在你的电脑上运行
- 传输方式: stdio
- 分类: 搜索与 AI 记忆
- 你需要填写：AISA_API_KEY, GOANYAPI_API_KEY
安装
选择你使用的 AI 应用，然后复制设置。
安装之前
- 基础检查：1 项中通过 1 项
- 在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
- 需要你自己填写：
AISA_API_KEY,GOANYAPI_API_KEY,RADAR_CONFIG,RADAR_STATE
标为机密的值是你账户的钥匙。千万不要分享给别人，也不要粘贴到聊天里。
你需要
- PyPI已安装 Python 的 uv（用于 uvx 命令）
你用的是哪个应用？
在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"new-term-radar": {
"command": "uvx",
"args": [
"new-term-radar",
"mcp"
],
"env": {
"AISA_API_KEY": "your-value",
"GOANYAPI_API_KEY": "your-value",
"RADAR_CONFIG": "your-value",
"RADAR_STATE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add new-term-radar --env AISA_API_KEY=your-value --env GOANYAPI_API_KEY=your-value --env RADAR_CONFIG=your-value --env RADAR_STATE=your-value -- uvx new-term-radar mcp运行前请先填写空着的值。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json
{
"mcpServers": {
"new-term-radar": {
"command": "uvx",
"args": [
"new-term-radar",
"mcp"
],
"env": {
"AISA_API_KEY": "your-value",
"GOANYAPI_API_KEY": "your-value",
"RADAR_CONFIG": "your-value",
"RADAR_STATE": "your-value"
}
}
}
}浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"new-term-radar": {
"type": "stdio",
"command": "uvx",
"args": [
"new-term-radar",
"mcp"
],
"env": {
"AISA_API_KEY": "your-value",
"GOANYAPI_API_KEY": "your-value",
"RADAR_CONFIG": "your-value",
"RADAR_STATE": "your-value"
}
}
}
}浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。
这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上，无需账户。
需要你填写的值
- AIsa key. X posts, search volumes, DataForSEO Trends and the models all go through it.
- Optional. Adds what people searched together with each name, and one country's settled daily series.
RADAR_CONFIGenvOptional. Absolute path to your config.json (X accounts, sitemaps, thresholds).RADAR_STATEenvOptional. Absolute path to the directory that holds the radar's SQLite state.
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。
它能做什么
它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。
基础检查i
我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 zhuyansen 验证，该账户拥有此仓库
- … 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
- … 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
- – 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
- – 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
- … 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表
与“搜索与 AI 记忆”中的其他服务器比较i
- 星标数多于此分类中其他 5716 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5716 个服务器的 77% 更新
- 基础检查结果等于或优于此分类中其他 5716 个服务器的 100%
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。
常见问题
New-Term Radar 安全吗？
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。
它需要哪些密钥或代码？
你需要填写：AISA_API_KEY, GOANYAPI_API_KEY
它在我的电脑上运行还是在云端？
它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。
它还在维护吗？
GitHub 仓库最后更新于–，最新版本（0.6.1）于11天前进入注册中心。
哪些应用可以使用它？
支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
有什么可以替代它？
同一分类中有：Context7, Codebase Memory, Exa
替代选择
同一分类中其他作者的服务器，按星标数排序。
如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
作者的 README
打开 README
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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:
| Keyword | Type | Behind | New? | Est. searches/day | Started rising | Peak vs gpts | Peak day | Last 7 days vs the 7 before | Now | First searched | Markets (searches/KD) | Page one | Page-one shape | Decision || photocraft 🖼 | name | — | yes | 12747 | 2026-10-05 | 97 vs 3.1 | 2026-10-09 | — | still rising | 2026-10-04 🆕 | best US · US 110/0 · DE 20/0 · FR 20/0 · JP 10/31 | — | beatable · 1 home / 6 inner · 2 platform · exact title ×6 | prioritize | | ai image detector 🖼 | generic | synthid detector | no | 2537 | — | 87 vs 31.6 | 2026-10-04 | ×1.2 | flat | 2023-02-19 | best US · US 74k/37 · DE 3.6k/48 · FR 2.9k/47 · JP 720/31 | — | — | watch | | photoshop alternative ⚠ | generic | photocraft | no | 244 | — | 61 vs 61.7 | 2026-10-08 | ×1.8 | flat | — | — | — | — | skip |
(a real run, 2026-10-12, shortened; the Page one column came later, and First searched, Markets and Page-one shape in 0.6.0, from a run of 2026-10-18, see below. 0.6.0 also adds a 12 months column after Now and an action after the decision, → update yours, → improve yours or → new page: 10 to 13 below.)
How it is made (radar/usecases.py):
- Evidence: the most-liked posts that mention the name (X advanced search) and, for a repository, its README.
- Phrases: a model reads the evidence and writes the keyword an ordinary person would type for each job it sees people doing, with a quote that backs it. A phrase built on another product's name ("photoshop alternative") is kept and marked ⚠: demand often hangs on the incumbent, and whether to use someone's brand is your call. With a GoAnyAPI key (optional, below) the radar also takes Google Trends' related queries for the name: what people really searched together with it. For SynthID Detector that gave "ai photo detector", "google ai detector" and "ai detector"; these rows carry 🔎. Queries that hold the name are listed as its long-tails ("photocraft download", "nano banana 2.1 vs pro"). Queries that are themselves the names of other rising things ("gpt image 2.5" beside "nano banana 2.1") are kept as leads of their own.
- Screen: a second call scores how well the name answers each phrase, marks brands, and spots the names of other things; the loosely related ones are dropped. For Claude Haiku 5.5 it dropped all six proposed ("ai coding assistant", "github copilot alternative"); for SynthID Detector it kept all fi
只显示了开头部分；其余内容请在仓库中阅读