Stenvrik is a news globe. 245 sources across 24 topics β the AI/tech/geo/cyber/research/market news axis plus an 18-topic lifestyle axis (crypto, health, home, food, fashion, auto, travel, sports, parenting, arts, entertainment, lifestyle, pets, wellness, garden, science, gaming, business) β pinned to the cities they're happening in. One page, one glance, the world.
Drag to rotate. Click any city to pin it and see only that city's stories. Watch flow arcs trace where momentum is gathering between hubs in real time.
Filter by topic. Toggle the TRENDING chip to surface only what's hot right now. Click a story to pin its city on the globe. Click again to open the original article in a new tab. No infinite scroll. No engagement traps.
It's the closest thing on the public web to a Bloomberg-Terminal cross-hair: one motion, the whole stack of context updates. The trend-research engine even discovers new RSS feeds in the background and queues them for review.
And when a trend is shoppable β a gadget, a tool, a seasonal must-have β Stenvrik classifies it, derives a buyable keyword, and fires an automatic ποΈ product roundup across best-fit sites. A spike in the feed becomes a same-day Amazon review, on top of the news.
For every topic with active stories in two or more cities, Stenvrik draws an arc from the busiest city β the hub β to up to three runner-up cities. The moving pulse along the arc shows direction.
An orange beam from London to Washington means: geopolitics is busy in London right now, and Washington is the second-busiest place on that thread.
A serverless function on the edge polls 245 RSS/Atom feeds in parallel, with a 4.5-second timeout each.
An inline parser handles RSS 2.0 + Atom + CDATA. Each story is geo-tagged: source's home city, then headline keyword override.
The aggregated payload sits in the Cloudflare edge cache for 10 minutes. One slow upstream never blocks a reader.
The browser pulls a single JSON, plots cities on a 3D SVG globe, derives flow arcs from topic activity, and stays interactive at 60 fps.
A second loop polls Hacker News (Algolia API), Google Trends (RSS), and X/Twitter (via a Chrome-CDP session). Each item is classified into one of the 24 topics by Codex OAuth β no API key, no per-call cost β and scored against engagement / traffic / vote signals. High-scoring items get a π₯ TRENDING badge on the globe and priority in the syndication queue.
Each trending article's source domain is scraped for <link rel="alternate" type="rss+xml"> in <head>. New RSS feeds land in a local review queue. Approving one in the UI appends it to the registry β the engine grows itself.
A matcher checks every trend for shopping intent. The commerce-relevant ones β home, tech, garden, pets, auto, fashion β are distilled into a buyable keyword and pushed to dojoclaw, which scrapes Amazon the same day and publishes a product roundup to each best-fit site. It's quota-exempt: a trend roundup rides on top of the daily seasonal one, never instead of it.
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