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Narratives

Narrative map

How Fomo attention is distributed across topics, how fast each one is spreading, and where it is rotating. Theses are classified by transparent rules over their text and their token's identity.

LiveSnapshot 48m ago
24H ROTATIONConsumer+31%Gaming+31%Tokenized Stocks+26%RWA-34%DeFi-47%Launchpads-64%attention share vs 24h earlier

Attention share · last 24h

Tile area = share of all 648 classified theses in the 24h before the snapshot. Arrows show thesis growth vs the previous 24h.

Meme72%-17.3%AI Agents5.2%-34.6%Tokenized Stocks3.9%-3.8%DeFi3.9%-59.7%Other14%-31.5%

Smaller tiles:Gaming 0.6%Launchpads 0.5%RWA 0.2%Consumer 0.2%Infra & L1/L2 0.2%

Narratives

Growth = theses in the last 24h vs the 24h before. New = authors with no thesis in the narrative during the previous 7 days.

No theses in the last 24h: DePIN.

Rotation

Attention share points gained or lost. Relative = change of the share itself.

24H ROTATION

Share of all theses (24h window) now vs 24h earlier.

Heatmap

Narrative vs time — thesis activity or author growth per bucket.

Narrative × time

Theses per bucket, by primary narrative. Intensity is relative to each narrative's own peak; hover for raw values. UTC buckets, the last one is still filling.

Narrative heatmap: theses per 1h10 rows × 48 columns. Darker cells mean more activity.14:0021:0004:0011:0018:0001:0008:00MemeAI AgentsDeFiTokenized StocksLaunchpadsGamingRWAConsumerInfra & L1/L2Other

Classification narrative-v1.1: transparent rules over the thesis text (word-boundary keywords) and the token's identity (symbol and name, a stock or VIRTUAL pair, GeckoTerminal categories), then its launch venue (launchpad-born memecoins); a thesis counts toward its highest-weight narrative, and theses matching nothing count as Other. Theses ingested in the last few minutes are classified on the next run and are not counted until then.