Most people in this space talk about stacks.
Very few talk about systems.
A stack is a collection of interventions.
A system is a repeatable structure for evaluation.
Without a system, adding compounds becomes accumulation.
With a system, it becomes experimentation.
A serious biohacker framework includes five components.
1. Baseline Data
Before modifying biology, you measure it.
At minimum:
• Fasting glucose
• Fasting insulin
• Lipid panel (ApoB if possible)
• hs-CRP
• Liver enzymes
• Thyroid panel
• Sleep metrics
Without baseline data, improvement is subjective.
Subjective improvement feels compelling.
But it is unreliable.
2. Single Variable Windows
Introducing three compounds at once produces confusion.
If sleep improves, what caused it?
If inflammation drops, which variable moved it?
Structured experimentation isolates variables whenever possible.
3. Defined Time Horizons
Every intervention should have:
• A defined start
• A defined evaluation checkpoint
• A defined reassessment point
Open-ended experimentation becomes lifestyle drift.
4. Objective Tracking
Track:
• Body composition
• Strength output
• Resting heart rate
• HRV
• Glucose variability
• Blood pressure
The body speaks in data long before it speaks in symptoms.
5. Washout Periods
Few people talk about washouts.
Receptor systems adapt.
Hormonal feedback loops recalibrate.
Without washout periods, you cannot evaluate long-term impact.
This applies to peptides.
It applies to sleep protocols.
It applies to dietary interventions.
It applies to nootropics.
Biohacking is not about aggression.
It is about iteration.
Tomorrow we’ll discuss the hardest part of self-experimentation: knowing when to stop.