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

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

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

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

The outcomeA daily list of names that are starting to surge, each tied to the signal that caught it.

What you need first

  • Python environment to install the package (inferred from the PyPI badge: pip install new-term-radar)
  • AIsa API key, needed for the X, keyword table and most other signals
  • Optional GoAnyAPI key for Google Trends related queries and page-one data
  • Optional TrustMRR key for the revenue signal
  • Optional GitHub token to raise the rate limit

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 for your agent

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.

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