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Show HN: We Made Open Source Eye Tracking
A unified, extensible, offline-first open-source alternative to fragmented, proprietary XR tracking stacks, offering low-level control and hardware independence.
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A unified, extensible, offline-first open-source alternative to fragmented, proprietary XR tracking stacks, offering low-level control and hardware independence.
Shinra Meisin addresses a critical developer pain point in XR: the fragmentation and proprietary nature of existing tracking stacks. By offering a modular, open-source, and offline-first pipeline integrating multiple tracking modalities (eye, face, SLAM, EEG), it provides developers with unprecedented low-level control and hardware independence. This directly counters vendor lock-in and accelerates innovation in XR application development. Market implications are significant: a unified, extensible tracking system can democratize XR development, lowering barriers for smaller teams and fostering a more diverse ecosystem. For SaaS providers targeting XR, this project highlights the demand for foundational, open infrastructure that allows for customization and avoids reliance on single hardware vendors, enabling broader market reach and reducing integration complexities.
The Shinra Meisin is a modular tracking pipeline for XR systems. It combines eye tracking, mouth/face tracking, SLAM spatial mapping, inside-out body inference, and experimental EEG input into a unified offline-first architecture.Most XR tracking stacks are fragmented or tied to proprietary hardware, so this project explores a unified, extensible system that gives developers low-level control without relying on closed ecosystems.Right now, the system has a working eye tracking implementation, with SLAM tracking actively in development. The goal is to make the stack modular enough that it can be adapted or integrated into different headset setups with minimal overhead for developers.This is being built by a small R&D team at Walker Industries alongside EOZVR, working across perception, tracking, and tooling. I’m currently focused on the Unity/Godot SDK and the companion application layer. The eye tracking system is primarily developed by John, with collaboration across the broader tracking stack. It's been a long road getting things to work, but it's been very rewarding!We also plan to build a dataset using recorded sessions across a small group of paid volunteers and multiple headset models once the pipeline stabilizes.Eye tracking demo: https://www.youtube.com/watch?v=QlfCfkzkBB4
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Deep-Dive FAQs
What is We Made Open Source Eye Tracking?
We Made Open Source Eye Tracking is analyzed by our AI as: A unified, extensible, offline-first open-source alternative to fragmented, proprietary XR tracking stacks, offering low-level control and hardware independence.. It focuses on Shinra Meisin addresses a critical developer pain point in XR: the fragmentation and proprietary nature of existing tracking stacks. By offering a ...
Where did We Made Open Source Eye Tracking originate?
Data for We Made Open Source Eye Tracking was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was We Made Open Source Eye Tracking publicly launched?
The initial public indexing or launch date for We Made Open Source Eye Tracking within our tracked developer communities was recorded on May 15, 2026.
How popular is We Made Open Source Eye Tracking?
We Made Open Source Eye Tracking has achieved measurable traction, logging over 3 traction score and facilitating 3 recorded discussions or engagements.
Which technical categories define We Made Open Source Eye Tracking?
Based on metadata extraction, We Made Open Source Eye Tracking is categorized under topics such as: Open Source Eye Tracking, modular tracking pipeline, XR systems, eye tracking.
What are some commercial alternatives to We Made Open Source Eye Tracking?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Seller by Facebook, which offers overlapping value propositions.
How does the creator describe We Made Open Source Eye Tracking?
The original author or development team describes the product as follows: "The Shinra Meisin is a modular tracking pipeline for XR systems. It combines eye tracking, mouth/face tracking, SLAM spatial mapping, inside-out body inference, and experimental EEG input into a un..."
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Discovery Source
Hacker News Aggregated via automated community intelligence tracking.
Tech Stack Dependencies
No direct open-source NPM package mentions detected in the product documentation.
Media Tractions & Mentions
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Deep Research & Science
No direct peer-reviewed scientific literature matched with this product's architecture.