Entity Feed Lab

Pick a few starting topics. Everything after this is learned from likes and scroll-pasts.

Entity Feed Lab
Lab stats

Trending entities

Rising candidates

Adjacent topics gaining inferred interest — not yet directly engaged.

Graph drilling (LLM)

Liking a leaf topic asks a fast model (server-side) for more-specific subtopics and grows the graph toward your niches. Its candidates are grounded in live news via the trending-adjacency tester →

Only likes count as interest. A card that was ≥60% visible for ≥500ms then scrolled away unliked logs a skip — dwell time is never a positive signal. Each card shows its fate in a status line once judged: dimmed = seen & skipped, pink = liked. Unseen cards log nothing and show no status. Each topic takes at most one skip per 30 min. The ♥ → line on each card previews how a like's credit cascades — full weight to the topic, and decaying roll-up credit to its parent subjects (italic); after a skip it flips to the negative flow actually applied.