Introduction

The Problem: Noise Over Truth

Everywhere online, people are running their own experiments — testing peptides, tracking sleep, adjusting diets, monitoring bloodwork.

Billions of data points are created every day, but none of it connects.

Results get lost in screenshots, threads, and anecdotes.

There’s no shared layer that proves what actually works.

Science moves forward only when evidence is organized, verified, and shared. Right now, that progress is trapped in noise.

Signal turns this scattered wave of personal experimentation into a structured, verifiable network of proof.

Each experiment becomes part of a shared system where data is authenticated, recorded, and rewarded.

Participants can contribute to science directly — not through institutions, but through their own results.

Signal creates a space where individual discoveries build collective knowledge.

Modern biology no longer happens only in labs.

It happens in homes, gyms, and clinics — wherever people are paying attention to their own health.

Signal connects these individual experiments (n = 1) into an open framework where every contribution strengthens the larger understanding (n = ∞).

When enough individuals run good experiments, the boundary between personal discovery and scientific research disappears.

Signal transforms scattered self-experiments into verified, tokenized proofs of progress that build a living record of human improvement.