WAKE
Training episodes from egocentric video
Details
- External ID
- 1250855
- Source
- PH
- Company
- —
- Product
- WAKE
- Website domain
- producthunt.com
- Launched
- Sept. 15, 2026
- Cohort
- —
- Upvotes
- 2
- Upvotes percentile
- 0.7405388069275176
- Tags
- Robots, Developer Tools, Artificial Intelligence
- Fetched at
- Sept. 16, 2026, 1:16 a.m.
- Updated at
- Sept. 16, 2026, 1:16 a.m.
Description
WAKE turns egocentric (first-person) video into training-ready episodes for robotics, world-model teams, and research labs. Raw hours of video are easy. Usable episodes are harder. We help capture and structure real work: tasks, scenes, actions, failure and recovery, plus delivery scoped to your requirements. Three ways to work with WAKE: we film it, we label your recordings, or you run the pipeline in-house. Tell us what your team needs to learn. Build with Wake: https://wake.inc/contact/
Enrichment
- Theme
- sleep, wake, and clock utilities
- Vertical
- Horizontal
- Function
- Data infrastructure
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- robotics training dataset generator from egocentric video
- Manually corrected
- False
Could you build this?
No This is an operational data pipeline company involving physical filming logistics, specialized sensor hardware (smart gloves), and custom computer vision pipelines for 3D hand tracking and action segmentation.
What it would actually take: Building a real platform requires physical collection operations across diverse manual tasks, paired with specialized CV/ML pipelines (e.g., HaMeR, MANO, ego-pose estimation models) to convert raw first-person RGB-D or smart-glove video into structured kinematic datasets. The tech stack involves heavy ML training/inference infra (PyTorch, Ray, AWS EC2 GPU clusters), annotation toolchains (like CVAT with custom robotic action schema extensions), and rigorous quality-assurance tooling. It requires specialized computer vision scientists, robotics researchers, and a distributed ground workforce to film and annotate real-world physical manipulations.
Competitors
Other products that read as similar to this one — 38 launches clear the similarity bar, closest 8 shown.
Attention rank: #10 of 39 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 223 days after the earliest competitor.
- WakeFlix · ph · 2026-09-16 · 2 upvotes · similarity 0.46
- egodup · github · 2026-09-14 · 35 upvotes · similarity 0.40
- AvatarVideoGen · ph · 2026-09-22 · 3 upvotes · similarity 0.39
- WakeUp: Alarm Clock & Goals · ph · 2026-09-12 · 2 upvotes · similarity 0.38
- Narrative · ph · 2026-09-15 · 103 upvotes · similarity 0.37
- Nightcut · ph · 2026-09-25 · 1 upvotes · similarity 0.36
- UltraAlarm: Get Up Alarm Clock App · ph · 2026-09-12 · 1 upvotes · similarity 0.36
- Hallune · ph · 2026-09-10 · 1 upvotes · similarity 0.34
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a data infrastructure tool for Media & entertainment yet.