01 / Connect
Pair your headset over Bluetooth in one click, or use recorded EEG playback if you don’t own hardware yet.
Biosignals for everyone · Prototyping on Muse 2
Live signals.
Real app actions.
Turn live EEG into blinks and closed-eye events your app can act on as signals arrive. We’re building a shared event interface across neurotech devices, starting with Muse 2.
Connect Muse 2 to try blinks and closed eyes. Focus, Calm, and heartbeat events are planned.
No signup. No headset needed. Read the quick start →
You don’t need a neuroscience degree to build apps powered by your body.
A signal. A jump.
Real recorded EEG. Signal peaks make the newt jump—no headset needed.
NEWT FLIGHT
Autoplay · EEG controlledListening to the signal
Recorded EEG · AF7 · 160 HzPlayback
3 seconds · ±75 µVRecording: PhysioNet / Schalk ↗
HOW IT WORKS
Connect. Pick a signal. Make something happen.
Start with a headset or recorded EEG playback. Bring your idea; we’ll handle the signals.
02 / Pick a Signal
Choose high-level events your app cares about: Focus, Calm, Blinks, or Closed Eyes. Zero signal processing required.
03 / Hook Up Your App
Feed the event into your game, web app, or vibe-coding prompt (Cursor / Replit) with just a couple of lines.
Blinks and Closed Eyes are available when connected to Muse 2. Focus, Calm, and app integrations are the direction we’re building toward.
SMALL SIGNALS. NEW POSSIBILITIES.
Blink→Shoot
Focus→Accelerate
Heart Rate ↑→Music changes
Eyes Closed→Jump
Fatigue→Interface adapts
Ideas to build toward. Watch recorded signal peaks trigger jumps above.
MADE FOR BUILDERS
Prototype visually.
Ship with code.
Our starting point is live signal-to-event translation: device samples become actions while your app is running. Hardware adapters share one event contract; each new device still needs its own decoding, calibration, and validation.
API concept · SDK in developmentyour-app.jsJAVASCRIPT
alpha_powerblinkstream.on("alpha_power", ({ power }) => updateFocusUI(power));
stream.on("blink", () => triggerAction());One event. Your application’s next move.
EEG IS THE STARTING POINT
Built toward the next wearable inputs.
The expansion path moves from consumer EEG into gesture control for XR and smart glasses, then continuous autonomic telemetry from everyday wearables.
EEG
Muse 2 signals → browser interactions. A concrete starting point for the event interface.
EMG
Muscle activity → gesture events for XR, smart glasses, and hands-free interaction.
ECG / PPG
Cardiac and optical signals → heart and recovery signals for apps that respond to you.
EMG and ECG/PPG integrations are in the roadmap; device coverage and release dates are not yet committed.
AN OPEN-ENDED ECOSYSTEM
Built toward your stack.
WebBrowser demoPythonPlannedUnityPlannediOSPlannedUnrealPlanned
Questions, answered.
Is NerveNewt available to use yet
You can try the browser demo today, with recorded EEG playback or a Muse 2. The broader platform is in development. Request early access if you'd like to build with us.
Do you make a headset
No. NerveNewt is a software layer, not hardware. The goal is to work with biosensing devices that already exist, not to build another one.
What hardware will it support
We're actively prototyping with the Muse 2 and expanding toward OpenBCI, with EMG and ECG on our roadmap. Request early access above if you're building for a specific device.
Is this reading my thoughts or emotions
No. NerveNewt standardizes measurable signals like alpha band power or a detected blink into events. It doesn't infer thoughts, moods, or mental states.
Who is this for
Developers building applications on top of biosignal hardware, not consumers looking for an end user app.
BUILD WITH NERVENEWT
Let’s build something together.
Tell us what you’re building and which hardware you use. Help shape the next integration.