Nicheloom

Market intelligence for builders — see what's gaining traction before it's crowded.

Sources

embodied AI and robotics platforms

Recent window: last 5.2 months (2026-04-24 → 2026-09-28), compared with the prior 5.2 months.

horizontal · 270 members · Data as of 2026-09-30

These products provide autonomous hardware, simulation environments, and training datasets designed for real-world robotics and physical automation. They are built for robotics engineers, industrial manufacturers, and AI researchers developing physical agents. This cluster is distinguished by its focus on grounding artificial intelligence in the physical world through hardware design, computer vision, and embodied manipulation.

Metrics

Stage
crowded
Recent count
186
Prior count
43
Total count
270
Momentum
300.00
Attention
0.49
Crowding
0.87
Concentration
0.83
Opportunity
0.45

Opportunity components

Attention
0.49
Low crowding
0.13
Momentum (normalized)
1.00
Low concentration
0.17

Monthly trajectory

Source split

github
94 (0.51)
hn
27 (0.15)
ph
22 (0.12)
yc
43 (0.23)

Dominant source: github · Divergence: 0.39

Similar themes

Members

Name Source Upvotes ▼ Launched
AI Engineer Roadmap 2027 PH 1 2026-09-12
Ai PH 1 2026-09-30
Universe PH 1 2026-09-08
slopXiv PH 1 2026-09-17
FuzhiRobot-A PH 1 2026-09-19
Curi PH 1 2026-09-23
Robots & Villas PH 1 2026-09-24
Suman Kumar Phuyal PH 1 2026-09-20
ai-transformation-workshop skill PH 1 2026-09-22
MOTOR ATLAS PH 1 2026-09-18
Hub: real-world training data for frontier AI labs and robotics YC 1 2026-06-15
GitHub PH 1 2026-09-24
robotruth PH 1 2026-09-25
HumanoidBehavior PH 1 2026-09-24
Calibra Dataset Intelligence PH 1 2026-09-27
Cognitive Ascent PH 1 2026-09-08
InfraStudio PH 1 2026-09-28
datamodellib PH 1 2026-09-30
nodeshape PH 1 2026-09-06
salt n bean PH 1 2026-09-30