Marketing

Spot new AI product names daily and pick search terms

Developer zhuyansen built a Claude Code tool that spots new AI product names each day and rates search phrases; he reports about $15 a month in running costs.

Done with Claude Code

What they did

Developer zhuyansen built new-term-radar, a free, open-source daily tool packaged for Claude Code. Scripts collect first mentions of new AI names from chosen X accounts, Hugging Face's trending list, fast-rising GitHub projects and AI directory sites. The AI then reads the top posts or project pages for each name. It suggests the search phrases people would type and screens them. The tool checks Google search volume, Google Trends and how crowded the first page of results is, then labels each phrase prioritize, watch or skip.

How it went

The project page shows a shortened real run from 2026-10-12, with names like 'photocraft' and 'claude haiku 5.5' marked prioritize. The author reports about $15 a month with the example settings: $10 for reading X and $5 for the search-phrase table.

Worth knowing

Most of the cost comes from reading X accounts, so reading fewer accounts or reading them once a day cuts it in proportion. Phrases built on another brand's name, like 'photoshop alternative', are kept but flagged, and using them is your call.

Try it yourself with Claude Code

Every day, find newly surging AI model, product and repo names for my niche [your niche]. Check first mentions from these X accounts [account list], new entries in Hugging Face trending, GitHub repos under 14 days old gaining stars fast, and new URLs in these directory sitemaps [sitemap URLs]. For each new name, read the most-liked posts or the README and suggest the generic search phrases people would type for what it does. Check search volume and Google Trends for each phrase. Then give me a table with keyword, type, estimated searches, trend direction and a decision: prioritize, watch or skip. Show me the table before creating any pages.

Swap the highlighted [parts] for your own details.

Read the original

Source: GitHub · zhuyansen · Oct 12, 2026

Written with AI assistance from the original post and checked against our editorial guidelines. Results are as reported by the source, not independently verified.

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