GhostSign
GhostSign / v0.1 Beta

Run What Wearables Can't.

Wearables answer

“What's happening inside my body?”

GhostSign answers

“What did I change, did it help, and should I keep doing it?”

Join The Waitlist

01 / What it is

Turn Goals Into
Structured Experiments.

Instead of trusting generic biohacking protocols, GhostSign helps you run a real experiment on yourself, so each cycle teaches you what's actually working for you.

GhostSign experiment detail with daily check-in form on iPad Pro
Run a cycle. Log daily check-ins.
GhostSign completed experiment view on iPad Pro
Review a completed experiment.
GhostSign Lab chat protocol builder on iPhone
Architect protocols in the Lab.
GhostSign experiment report summary on iPhone
Get a clear report at the end.
02 / The Loop

How it works.

  1. 01

    Choose a Direction

    Start with something you want to improve: sleep, focus, energy, recovery, stress regulation, or daily routines. No need to overthink it.

  2. 02

    Build an Experiment

    GhostSign helps turn your goal into a structured protocol with a clear hypothesis, practical routine, and simple daily check-ins.

  3. 03

    Track the Signals

    Log the metrics that matter for your experiment: energy, focus, mood, adherence, recovery, or your own custom signals. Pull in wearable data when it helps, but the experiment never depends on it.

  4. 04

    Review What Happened

    At the end of the cycle, see what improved, what didn't, how trustworthy the data was, and what to try next.

  5. 05

    Iterate

    Refine and repeat. Each cycle builds a clearer understanding of how your own system responds to stress, recovery, and change.

03 / The Shift

Why it's different.

Trackers tell you what your body did. GhostSign helps you learn what to do next. Each experiment informing the next — that's recursive self-improvement.

Passive Tracking
Structured Experiments
Goal
Accumulate data indefinitely
Test a focused hypothesis
Output
Dashboards & trend lines
Clear feedback — what helped, what didn't
Duration
Continuous, open-ended
7 day experiments, then iterate
Signal
Wearable sensor streams
Hypothesis-driven daily logs
Outcome
More awareness
Recursive self-improvement