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Preact
Identify patterns in customer activity to maximize LTV [Tech]
verified Jul 16, 2026 · HTTP 200
CohortClass of 2014What it is
Identify patterns in customer activity to maximize LTV [Tech]
HTTP liveness
20 probes since Jun 16Jun 16Jul 16
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
462/4 signal families
Liveness40%1.00
Press30%no data
GitHub20%no data
Tranco10%0.58
Weighted observed activity · updated Jul 15
Cohort survival · Class of 2014weekly
10,235 products launched in 2014 · 99% still active
10,131 active104 sunset
Still active
99%
Median lifespan
4.9y