new-term-radar flags new AI names before keyword tools list them

new-term-radar is an open-source (MIT) Python tool, created on GitHub on 12 October 2026, that writes a daily report of AI names starting to surge: new models, products and repos. It watches first mentions by X accounts you choose, models new to Hugging Face's trending top 50, GitHub repos under 14 days old averaging 200+ stars a day, new words in sitemaps you list, and your own Search Console queries. It then checks each lead in Google Trends 14 days later to score its own hit rate. A keyword table pairs each new name with the generic searches behind it and marks it prioritize, watch or skip. The repo had about 880 stars and 357 forks two days after launch. The free signals (Hugging Face, GitHub, sitemaps, Search Console) need no key. X reads, Trends, the keyword table and the name judge go through a paid AIsa key; the author puts the example setup at about $15 a month. It runs from the command line, as three Agent Skills, or as an MCP server. The author is candid about limits: in early runs most generic terms did not rise within five days, and Google Trends' latest two days are unreliable.