Kineforge AI/ML model for robotics
Train robot brains without demos on one GPU
Votes
9
Comments
1
What this means
-35%Category cooling: Developer Tools.
Launches down 35% week-over-week.
22Founder Conviction Index: 22 — 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
9range 7–12
Trajectory
stable
Vote pace holding steady.
Speed vs peers
1.1×
215 comparable launches
About
Kineforge trains embodied control policies without human teleoperation demos. Frozen semantic priors + differentiable physics (MuJoCo MJX) + a 157K-parameter policy = training in hours on a single GPU, and CPU inference under 10ms. Structure over scale.
Vote & comment velocity
Scores
Velocity14.1
Vote pace vs avg
Momentum14.1
Sustained over 6h
Virality17.2
Spread × engagement
Engagement22.2
Comments per vote