new-term-radar
Daily radar for new AI terms: names of new models, products and repos, caught on X, Hugging Face, GitHub and sitemaps before keyword tools list them.
翻译准备中
尚未检测到更新。GitHub 发布版本后会显示在这里。
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一分钟完成验证正在加载完整 README。 以下为已保存的摘录。
Load your ad-level Meta Ads data — upload a CSV export, use the built-in
sample dataset, or connect a read-only Meta account — add a line of
context, and get a one-page decision-first debrief: what worked, what
failed, and what to test next, in two audiences (buyer memo and a visual
client report). Built for media buyers and small agencies who don't have
time to build this analysis by hand every week.查看完整 README ↗Load your ad-level Meta Ads data — upload a CSV export, use the built-in sample dataset, or connect a read-only Meta account — add a line of context, and get a one-page decision-first debrief: what worked, what failed, and what to test next, in two audiences (buyer memo and a visual client report). Built for media buyers and small agencies who don't have time to build this analysis by hand every week.
This repo pivoted from an earlier Meta Ads reporting/monitoring product (OAuth, a database, scheduled monitoring). All of that was removed, not frozen — see
ARCHITECTURE.mdfor what changed and why.
npm install
npm run dev
Open http://localhost:3000, load your ad-level data (CSV export, sample
dataset, or an optional read-only Meta pull), pick a KPI, add context,
and get your debrief. The CSV-upload flow needs no .env.local, no
signup, no setup; the optional Meta data source needs META_APP_ID and
META_APP_SECRET (see .env.example).
ads_read) from a connected Meta account.There is exactly one path. No login, no dashboard, no history page —
see ARCHITECTURE.md for the scope rules this was built under.
npm run build && npx tsc --noEmit && npx eslint . \
&& npm run test:csv && npm run test:watchlist && npm run test:signals