Core Idea

Attention Indexes

At the heart of Trendle are attention indexes - data-driven instruments that measure how much mindshare a topic, person, or event captures online. These indexes aggregate multiple signals:

• Hype – Mentions, engagement spikes, virality.

• Momentum – Sustained growth in attention over time.

• Controversy – Sentiment polarity, fan confidence vs. backlash.

Together, they create a quantifiable metric for attention as an asset class.

How It Differs

Trendle is not a copy of traditional prediction markets, fan tokens, or memecoin, it goes beyond both models:

• vs. Prediction Markets: Traditional prediction markets tie value to binary outcomes (win/lose, pass/fail). Trendle ties value to attention flows, independent of the final result.

• vs. Fan Tokens: Fan tokens let supporters back a team or celebrity, but they are static and tied to loyalty. Trendle indexes are dynamic, real-time, and tradable - built for speculation on narratives, not allegiance.

• vs. Memecoins: Memecoins capture hype temporarily but lack structure - they are speculative vehicles with no underlying measure of attention. Trendle, in contrast, quantifies hype and sentiment directly, turning memecoin-like attention cycles into transparent and investable indexes.

Example Scenarios

• Elon Tweet Shockwave → Elon Musk tweets about a new AI startup. Attention around the topic surges 200%. Traders long the index profit as hype peaks, regardless of whether the startup succeeds.

• Matchday Momentum → A football team builds hype before a match. Attention climbs as fans rally online. Even if the team loses, traders who positioned early on the hype surge win.

• Memecoin Frenzy → A new memecoin dominates Twitter and Reddit. Attention indexes capture the exponential spike in mentions. Traders can ride the wave or hedge against a collapse as the narrative cools.

TL;DR

Trendle indexes transform hype, momentum, and controversy into investable financial primitives making it possible to speculate directly on culture.