Config-driven backtesting framework built on Backtrader for testing trading strategies across stocks, crypto, and forex, with an MCP server for AI assistants.
zhuyansen/new-term-radar
A daily radar that spots new AI model, product and repo names on X, Hugging Face, GitHub and sitemaps, and builds a keyword table for them.
- Stars
- 1,079
- Forks
- 422
- Open issues
- 2
- Last commit
- 4 days ago
What is it?
new-term-radar watches where new AI names first appear: posts on X, trending models on Hugging Face, fast-growing GitHub repos, and new pages on AI tool directories. It filters these into candidate names and reports them daily, aimed at people who build SEO pages, newsletters or directories around new terms.
For each name, the project finds the generic search terms people use for the job the new thing does, sizes them with Google Ads volume and Google Trends, and checks how crowded page one of Google is. Each row receives a decision such as prioritize, watch or skip. A 14-day review compares flagged names against their Google Trends curves to measure hit rate.
It is a Python project using only the standard library, run from the command line, as scheduled jobs (including GitHub Actions), as Agent Skills, or as an MCP server. Most signals are free; X reads, keyword volume and related paid lookups go through an AIsa API key.
Key features
- 01Scans X accounts, Hugging Face trending models, fast-growing GitHub repos and sitemaps for new names.
- 02Builds a daily keyword table linking each new name to its generic search terms.
- 03Sizes terms with Google Ads volume and Google Trends and checks page-one competition.
- 04Reviews flagged names 14 days later against their Trends curves.
- 05Runs as a CLI, scheduled job, Agent Skills set or MCP server.
Use cases
- Finding new AI tools or models to write about in a newsletter the day they appear.
- Choosing which new AI product names deserve a dedicated SEO landing page.
- Tracking emerging AI repos and their search demand for a tool directory.
- Giving an AI agent a live feed of new AI keywords via MCP.
Topics
FAQ
- What is new-term-radar?
- A daily radar that spots new AI model, product and repo names on X, Hugging Face, GitHub and sitemaps, and builds a keyword table for them. new-term-radar watches where new AI names first appear: posts on X, trending models on Hugging Face, fast-growing GitHub repos, and new pages on AI tool directories. It filters these into candidate names and reports them daily, aimed at people who build SEO pages, newsletters or directories around new terms.
- Is new-term-radar free to use? What license does it have?
- new-term-radar is open source under the MIT license. Check the license terms before using it in commercial products.
- Is new-term-radar still maintained?
- Actively maintained. The last commit to new-term-radar was on Oct 14, 2026.
- What can I use new-term-radar for?
- Finding new AI tools or models to write about in a newsletter the day they appear. Choosing which new AI product names deserve a dedicated SEO landing page. Tracking emerging AI repos and their search demand for a tool directory. Giving an AI agent a live feed of new AI keywords via MCP.
- Where can I get new-term-radar?
- The source code and installation instructions are on GitHub: https://github.com/zhuyansen/new-term-radar
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