MagicaLCore
Notable signalSix kinds of machine learning models, trained on your iPad
Launched 9d ago
Signal
52
Velocity
0
What this means
30.7×Growing 30.7× faster than the typical Education launch.
Compared to 39 Education launches at the same age.
Decaying
Vote pace down to 0% of launch speed.
13Founder Conviction Index: 13 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
13%
today
Projected end-of-day votes
73range 55–99
Trajectory
decaying
Vote pace down to 0% of launch speed.
Speed vs peers
30.7×
39 Education launches
About
MagicaLCore 2.0 goes from one model type to six: image, sound, tabular data, text, hand pose and hand action. Everything trains on the iPad's own chip, with no code, no Mac and no cloud. New in 2.0: pause a training and resume it later from History, test your model live with the camera or microphone, and a short explanation next to every setting. Export a standardmlmodel and drop it into Swift Playgrounds or Xcode. In 13 languages, plus an edition for schools.
AI Summary
MagicaLCore 2.0 offers six machine learning model types for training directly on an iPad, including image, sound, and text. It features live testing capabilities, training pause and resume options, and supports export to standard mlmodel for use in Swift Playgrounds or Xcode.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement3
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking9 readings since we picked it up
- AI analysisEducation
- Comment intelligencethread not yet analysed
- Outside discussionnot checked — domain is a storefront or shared
- Revenue signalsno match on this domain
- Editorial scoringbelow the signal threshold for this pass
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.