zhuyansen/new-term-radar

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AI 根据 README 整理 · 2026/10/19 16:51:35

适用场景

适合需要追踪AI新词、为网站或内容制作关键词策略的SEO从业者、新闻通讯作者和目录维护者。

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# new-term-radar [中文说明](README.zh-CN.md) 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: 1. A lab or a well-followed account says it on X; a model enters Hugging Face's trending list.

使用方式

通过命令行运行，如 `python -m radar daily --out report.md`，也提供Agent Skills和MCP服务器。

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cp config.example.json config.json # then edit: your X accounts, sitemaps, topics export AISA_API_KEY=... # from https://go.aisa.one/yansen-zhu; or `aisa login` with the AIsa CLI python -m radar daily --out report.md ``` The first run builds its snapshots: yesterday's X vocabulary, star counts and sitemap URLs do not exist yet, so only GitHub breakouts (which need no yesterday) are reported. From the second run on, every signal reports what changed. Two commands: ```bash

Three [Agent Skills](https://agentskills.io/home) live in `skills/`: one that does the whole job, and the two halves for those who want them apart. | Skill | What it does | |---|---| | `new-term-radar` | The whole run: today's new names, then the keyword priority table for them. Also takes names you already have. Start here | | `ai-listening` | Collects what is new in the last 24 hours across the signals, deduplicated, as one report of names |

部署要求

需要Python 3.10或更高版本，仅使用标准库。需要AIsa API密钥以使用付费信号，可选GoAnyAPI密钥增强关键词表。

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2026); in our tests calls took 20 to 55 seconds and about one in ten failed, so the radar tries twice, reports a failure in the table and carries on. That link is a referral link too. Without an AIsa key the free signals still run (Hugging Face, GitHub, sitemaps, Search Console); the report then lists every term unsorted, because nothing judges which are names. ## Quick start Python 3.10 or newer. The radar uses only the standard library. ```bash git clone https://github.com/zhuyansen/new-term-radar cd new-term-radar

Everything the radar needs goes through [AIsa](https://go.aisa.one/yansen-zhu): X posts, Google Trends and domain data (DataForSEO behind it) and the models that judge names and propose phrases. One key, pay per call, no subscriptions to X's API or DataForSEO. > That link is a referral link: signing up through it supports this project. The radar works the same with a key from anywhere on aisa.one.

**Optional: `GOANYAPI_API_KEY`** ([goanyapi.com](https://goanyapi.com/r/ga-95708898fb)) improves the keyword table in two ways, for about $0.07 a day: it adds Google Trends' related queries for each name, and it reads the curve of the names and the bigger generic terms (1,000 searches a month or more, eight rows at most) from 30 days of daily data for one country, settled to yesterday. Those rows show the country after "Now", as in `still rising (US)`. Without the key the table is built from the model's phrases and the worldwide series alone. The service is young (first released in August

已知限制

无法读取App Store、Google Play、Trustpilot评论，以及There's An AI For That的请求板和Facebook群组。

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What it cannot read: App Store, Google Play and Trustpilot reviews (DataForSEO serves them as tasks to post and fetch later, and AIsa runs synchronous calls only); There's An AI For That's request board (a Cloudflare challenge in front of every page; getting past it would be getting past their bot protection, so the radar does not); Facebook groups (Meta closed the Groups API in April 2024, and its research library is open to approved academic and nonprofit researchers only). ## One key, and an optional second