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flowRL
flowRL uses reinforcement learning to automatically optimize app interfaces for individual users, replacing traditional A/B testing with real-time personalization
verified Jul 14, 2026 · HTTP 200
CohortClass of 2026What it is
flowRL uses reinforcement learning to automatically optimize app interfaces for individual users, replacing traditional A/B testing with real-time personalization. The platform delivers measurable performance improvements, with users reporting 2-3× uplift in key metrics. Built for modern app developers seeking data-driven UI optimization.
HTTP liveness
10 probes since Jun 16Jun 16Jul 14
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
10 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