Command Palette
Search for a command to run...
babyAC
BabyAC is a web application that uses StyleGAN, a deep learning model, to predict and generate realistic baby images by analyzing characteristics from parent photos
verified Jul 13, 2026 · HTTP 200
CohortClass of 2026What it is
BabyAC is a web application that uses StyleGAN, a deep learning model, to predict and generate realistic baby images by analyzing characteristics from parent photos. The AI combines facial features from two input images to create high-resolution synthetic baby faces.
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
Discussion 0 comments
No comments yet. Be the first!
Pulse Indexobserved activity
9 probes0 pressGitHub –Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
Cohort survival · Class of 2026weekly
550 products launched in 2026 · 100% still active
550 active0 sunset
Still active
100%
Median lifespan
4.9y