Lilambd/world-signals

World Signals — a daily cross-country snapshot of attention

One folder per day under data/YYYY-MM-DD/, and the same files copied to latest/. Built every morning (JST) by the EmpireOS world model. Nothing is generated by a model; every row is a measurement from a public source.

file	what	source
search_trends.csv	rising searches, 30 countries, with approximate traffic and the headline that drove them	Google Trends daily RSS
podcast_charts.csv	top-100 podcasts, 30 countries	Apple Podcasts marketing RSS
gdelt_events.csv	world events of the last hour counted by country x CAMEO root code, with mean Goldstein scale	GDELT 2.0 event export
github_new_repos.csv	repositories created in the last 7 days with the most stars	GitHub search API
hf_trending.csv	trending models and datasets	Hugging Face Hub API
steam_top.csv	most played games by peak concurrent players	Steam charts API
package_downloads.csv	npm packages by keyword (agent, mcp, llm, scraper, ...) and top PyPI packages with download counts	npm registry, hugovk/top-pypi-packages

Countries: JP, US, GB, DE, FR, ES, IT, BR, MX, IN, ID, KR, TW, VN, TH, PH, TR, SA, EG, NG, ZA, KE, PL, NL, SE, AU, CA, AR, CO, CL.

Same data as an API

https://signals.yohaku.city/v1/<table>?country=jp — filters, dates and an OpenAPI spec at https://signals.yohaku.city/openapi.yaml. Free direct access is rate-limited; volume plans on RapidAPI.

Why this exists

Agents and analysts keep re-scraping the same public endpoints every day. This dataset does it once, keeps the history, and gives it in one flat shape.

Attribution

GDELT data is free for any use with attribution to the GDELT Project. Google Trends, Apple, GitHub, Hugging Face, Steam and npm data are reproduced as published by their public endpoints; check each provider's terms before redistribution. PyPI counts are from hugovk/top-pypi-packages.

Maintained by Lilambd. Questions: hello@lilambd.com