Signal School — Market Microstructure No. 07
Attention Economics

How KOL attention becomes a crypto signal

Alpha-tracking tools watch which projects key opinion leaders (KOLs) follow, and rank them in near real time. Drag the 3D network below, then use the controls to see how a "top followed in 6h" list is actually computed — and where it breaks.

Drag to rotate
Top project: —

What the ranking actually measures

1 · The raw event

Each edge in the network is one follow: a tracked KOL account followed a project account inside the time window. Trackers typically watch a curated set of 500–5,000 wallets and X accounts flagged as "smart money."

2 · The aggregation

Score = number of distinct KOLs who followed the project in the window. Some tools weight by follower count or historical hit rate, so 3 elite follows can outrank 10 average ones. Move the weighting slider above to see rankings flip.

3 · The output

A leaderboard like "Top projects followed by KOLs in the last 6h." Shorter windows are noisier but faster; longer windows are smoother but stale. Try 1h vs 48h above.

Worked example

Suppose 5 tracked KOLs follow Project A and 3 follow Project B in a 6-hour window. With equal weighting A wins 5–3. Now weight by audience size:

ProjectFollowsKOL audiencesWeighted score
Project A510k + 12k + 8k + 15k + 9k54k
Project B3400k + 250k + 180k830k

Same raw data, opposite conclusion. Every leaderboard bakes in an editorial choice about whose attention counts.

Caution: Attention lists are lagging popularity metrics, not due diligence. They are gameable (paid follows, bot KOLs, coordinated rings) and say nothing about token fundamentals, team, or contract safety. Treat them as a discovery feed, never as a buy signal.
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