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AEX
AEX uses natural language processing and machine learning to identify coherent Facebook audience interests across multiple analytical layers
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
AEX uses natural language processing and machine learning to identify coherent Facebook audience interests across multiple analytical layers. Unlike basic tools that randomly surface interests, AEX applies intelligent algorithms to uncover meaningful, structured interest patterns for targeted advertising campaigns.
HTTP liveness
9 probes since Jun 16Jun 16Jul 13
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jun 16, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
9 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
567 products launched in 2026 · 100% still active
567 active0 sunset
Still active
100%
Median lifespan
4.9y