Hemlock: The missing force signal in robotic training data
We collect egocentric video data + force and contact dynamics derived from workers' muscular signals. Adding Hemlock's force data to human training demos improved pi0.5's success by 10x and Gemini Argon's by 2.7x on force-sensitive manipulation tasks.
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YC · launched Oct 27, 2026 · 75 upvotes (top 8%)
- Horizontal
- Data infrastructure
- B2B
- AI-native
- Commercial product
- Hard Tech
- Hardware
Similar launches
See all 408 similar launches →Could you build this?
No The product depends on proprietary EMG wearable hardware and a dataset of force and contact signals from skilled workers. Neither can be produced by software vibe coding.
What it would actually take: A real version needs custom EMG sensor hardware, signal processing to estimate muscle force, and a sizable data-collection operation with skilled workers wearing the device alongside egocentric cameras. Labeling contact and force data at scale also requires specialized annotation pipelines. The work needs electrical and mechanical engineers, biomechanics expertise, and capital for data collection.
Competitors
Other products that read as similar to this one : 408 launches clear the similarity bar, closest 8 shown.
Attention rank: #29 of 409 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 356 days after the earliest competitor.
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- Axonnic · ph · 2026-10-30 · 79 upvotes · similarity 0.52
- Sureform: Turning physical expertise into training data for world models and robotics · yc · 2026-02-23 · 9 upvotes · similarity 0.51
- robosimstudio · github · 2026-10-12 · 156 upvotes · similarity 0.50
- ropedia-w0 · github · 2026-10-17 · 38 upvotes · similarity 0.50
- Wuji-Learning-Dexterous-Manipulation-from-Human-Demonstrations · github · 2026-09-17 · 10 upvotes · similarity 0.50
Other launches for this product
- No other launches for this product.