# AI use cases for New Term Radar (zhuyansen/new-term-radar)

Repo: [zhuyansen/new-term-radar](https://github.com/zhuyansen/new-term-radar) | Use cases: 3 | Page: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/

A daily radar that reports new AI model, product and repo names as they first appear on X, Hugging Face, GitHub and sitemaps, plus the generic search terms behind them.

This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL.

- Catch new AI names the day they appear: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/catch-new-ai-names-daily/
- Find the search terms behind a new AI name: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/find-search-terms-behind-new-ai-name/
- Spot paid AI products and new sellers early: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/spot-paid-ai-products-and-new-sellers/

## How to catch new AI names the day they appear with New Term Radar

Repo: [zhuyansen/new-term-radar](https://github.com/zhuyansen/new-term-radar) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Get a daily report of new model, product and repo names from X, Hugging Face, GitHub and sitemaps.

**Who it is for:** SEO lead or newsletter writer who must publish on a new AI tool name within days, not weeks.

**The problem:** Keyword tools list a new name only after people have searched for it for weeks, so late pages miss the early demand.

**The outcome:** A daily list of names that are starting to surge, each tied to the signal that caught it.

### Steps

1. Install the package with `pip install new-term-radar`. (inferred, check the README)
2. Add your AIsa key and the X accounts and sitemaps you want watched in config.json.
3. Run the radar once a day and read the daily report of new names.
4. Check each name's source signal before you write a page for it.

### Prompt to paste into your agent

```text
Using the new-term-radar repo, run the daily radar with my config at <config path> and return the new names it reports, each with the signal that caught it. Verify that every name has a source (X, Hugging Face, GitHub, sitemaps or sellers) before you list it.
```

### Caveat

Most signals need an AIsa key, and the example config is priced at about $15 a month, so check the cost before a long run.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/catch-new-ai-names-daily/

## How to find the search terms behind a new AI name with New Term Radar

Repo: [zhuyansen/new-term-radar](https://github.com/zhuyansen/new-term-radar) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Turn a new name into the generic searches people make, sized and checked for page-one room.

**Who it is for:** Site owner deciding which page to build for a newly launched AI tool.

**The problem:** A brand name has a short life as a keyword, while the job it does is what people keep searching for.

**The outcome:** A keyword table with estimated searches a day, rising status and a prioritize, watch or skip decision for each term.

### Steps

1. Install the package with `pip install new-term-radar`. (inferred, check the README)
2. Set your AIsa key in config.json and keep the benchmark keyword the default gpts unless you change it.
3. Run the radar and open the keyword table it writes for the day's new names.
4. Read the Page one column: open means a new page can compete, crowded means strong sites hold the results.
5. Wait three days and read the second reading before committing to any prioritize row.

### Prompt to paste into your agent

```text
In the new-term-radar repo, produce the keyword table for today's new names and return the rows with their decision and page-one status. Verify that no prioritize row has a crowded page one, since the README relabels those as watch with a down arrow.
```

### Caveat

Search volumes are estimates, and the README notes that generic terms did not reliably rise with the names within five days, so treat early decisions as provisional.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/find-search-terms-behind-new-ai-name/

## How to spot paid AI products and new sellers early with New Term Radar

Repo: [zhuyansen/new-term-radar](https://github.com/zhuyansen/new-term-radar) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README

Find AI products with verified revenue and sites that just added a payment link.

**Who it is for:** Directory owner or affiliate who wants to list AI products that people already pay for.

**The problem:** Paid AI tools reach directories late, while a new payment link often shows up before the site ranks.

**The outcome:** A weekly list of fast-growing and newest verified-revenue products, plus sites that just added a payment link.

### Steps

1. Install the package with `pip install new-term-radar`. (inferred, check the README)
2. Add your TrustMRR key for the revenue signal and your AIsa key for the sellers signal in config.json.
3. Run the radar weekly and read the revenue and sellers sections of the report.
4. Open each product's own page and check its description before you add it to your listings.

### Prompt to paste into your agent

```text
Using the new-term-radar repo, run the weekly revenue and sellers signals with my config at <config path> and return the products and sites they report. Verify that each product entry shows its source and that the revenue figures match the TrustMRR data before you quote them.
```

### Caveat

The revenue and sellers signals depend on third-party data (TrustMRR and the public link graph), so confirm each figure at its source before publishing.

Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/

URL: https://dedupedai.com/use-cases/zhuyansen-new-term-radar/spot-paid-ai-products-and-new-sellers/