Kinesis
Control your Mac with the Meta Neural Band
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a couple hours ago i had astra take on a 10 month old repo of mine https://github.com/callbacked/neural-band-poc/ that involved finding a way to use the meta neural band independently from the glasses to read the sEMG data off of it. i really think it is a cool piece of technology that largely gets overlooked by the glasses, and always thought it was a shame it couldn't be used outside of its main application.after making quick work of that, i wanted to use it to control my mac using gesture controls and that's how kinesis was born. it has been very cool being able to swipe from desktops using my fingers, swiping up to open up mission control or controlling a virtual knob to adjust my volume.i definitely havent scratched the surface with the neural band but it has been a really fun endeavor thus far! i really hope others can find creative uses for their neural bands too :)note: i really hope this works on other bands because the sample size has just been me so far.
HN · launched Sep 14, 2026 · 121 upvotes (top 6%) · 0 views
Niche: hardware device drivers and utility software · 178 launches, 18 in the last 7 days ▼ -5% · Explore this niche →
Category and tags
- Horizontal
- Hardware & robotics
- Prosumer
- AI feature
- Commercial product
Visit website ↗ Source listing ↗
More like this: all 178 launches in hardware device drivers and utility software →
Could you build this?
No Interfacing with proprietary hardware (Meta Neural Band) to capture raw surface electromyography (sEMG) data and decode biological motor unit signals into desktop input requires specialized signal processing, reverse engineering, and biosensing domain knowledge.
What it would actually take: The project requires reverse engineering undocumented Bluetooth LE GATT services or proprietary radio protocols used by Meta's neural band to intercept raw high-frequency sEMG data streams. It then requires digital signal processing pipelines (filtering 50/60Hz noise, rectifying, feature extraction) and lightweight ML classifiers running in real time to map muscle activation patterns to discrete OS mouse/keyboard actions. Expertise in RF reverse engineering, embedded protocols, and biosignal processing/neuromotor interfaces is required.
Discussion
20 comments analyzed.
Competitors mentioned: Kinesis, Tap Strap, Leap Motion, OCZ NIA
Concerns raised: High user inertia sticking to QWERTY/touchscreens, Privacy and security concerns with Meta hardware, Midas effect triggering unintentional actions, Limited gesture fidelity and robustness, Risk of hackability being patched out
Feature requests: Better-lit demo video showing hand gestures, Multi-touch AR support with two bands, Offline use without account login
Competitors
Other products that read as similar to this one : 194 launches clear the similarity bar, closest 8 shown.
Attention rank: #25 of 195 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 320 days after the earliest competitor.
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- I launched a MIDI controller and IG banned me 48 hours later · hn · 2026-02-04 · 7 upvotes · similarity 0.43
- Mac-hardware toys, control your Mac's hardware like a modular synth · hn · 2026-04-02 · 8 upvotes · similarity 0.42
- Sonari · ph · 2026-11-04 · 74 upvotes · similarity 0.42
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