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NeuralFit game
NeuralFit is a game where users can manually adjust neural network weights to understand how they work
verified Jul 5, 2026 · HTTP 200
CohortClass of 2026What it is
NeuralFit is a game where users can manually adjust neural network weights to understand how they work. It provides a unique, interactive way to learn about neural networks. By playing the game, users can gain hands-on experience with neural network training.
HTTP liveness
2 probes since Jul 4Jul 4Jul 5
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jul 4, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
2 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
508 products launched in 2026 · 100% still active
508 active0 sunset
Still active
100%
Median lifespan
4.9y