BIOHACK.IT

Open source · Non-profit · AGPL-3.0

BIOHACK.IT

Turn self-experimentation into evidence.

Open infrastructure for structured human self-experimentation.

Document what you take and do, measure it with standards-coded biomarkers, and share it — so that thousands of individual experiments become comparable human data, with safety engineered in rather than bolted on.

Intervention→ Measurement→ Individual effect→ Cohort→ Evidence

Read the plan Join the community

Built on an existing community — Rapamycin News Standing on Evipedia · AI4L · get-based

What it is

Document your protocol. Measure it. Share it.

Today a biohacker's protocol lives in spreadsheets, forum posts and chat prompts — not comparable, not followable, not readable by a physician. BIOHACK.IT turns it into structured, shareable data.

01 — Document

What you take & do

Substances, therapies, exercise and nutrition — with dose, timing and real cycle schemas. Create from scratch, or copy any public protocol with one click.

02 — Measure

Efficacy & safety

Biomarkers with reference, optimal and safety ranges — plus biological clocks (PhenoAge, epigenetic, glycation). Upload your past lab reports and get your history in graphs, free.

03 — Share

Open by default

Publish your protocol and its outcomes. Follow and copy the people who get results, seeing their public biomarkers. Quality comes from three layers: deterministic validation, community review, expert oversight.

What makes it computable

The same protocol, written three ways, is one entity.

This is the whole project in three lines. Today a dose lives as prose in a forum post, a screenshot, or a spreadsheet nobody else can read. We turn it into something a machine — and a researcher — can actually use.

"rapamycin 6mg weekly"
"sirolimus 6 mg every Sunday" ──▶ RxNorm 35302 · 6 mg · every 7 days · pulsed
"Rapa 6 mg q7d"

human-readable, research-useless one computable entity, linked to your biomarkers over time

GitHub for biological self-experimentation.

If you have ever used version control, you already know how this works.

Git	biohack.it
repository	a protocol
fork	copying someone's protocol
commit	a dose or intervention change, with its reason
release	a protocol version
CI	safety monitoring — baseline, inherited markers, overdue checks
issues	a contested claim, discussed in public
telemetry	your biomarkers over time
README	the doctor sheet
dataset	the open research output

The plan

From one person to a distributed trial.

We are building in the open. The full functional specification — 26 capabilities, 150+ requirements across protocols, biomarkers, safety, community and open data — is public and browsable, and grows with community review. What we build first is deliberately much narrower than what we have specified.

Read the functional specification →White paper →

Also as documents — Specification: PDF · HTML · White paper: PDF · HTML v0.1 · 2026-08-20

PHASE 0

Foundations

Domain model, biomarker registry, coded catalogue, safety rules.

MVP

Useful to one

Protocol · Blood Layer · Safety · Doctor sheet — value in ten minutes, zero spend.

Adherence

Daily log — thirty seconds a day, and the reason any later number means something.

THEN

Useful to many

Public protocols, follow & copy, safety on copy, pre-registered N-of-1.

THEN

Open data

Cohorts, self-generated open & linked data, then a research API.

DESTINATION

Distributed trials

Shared protocols with endpoints declared in advance, meeting a published bar.

Deliberately deferred until those land: procurement, advanced nutrition, therapeutics scheduling, genomics beyond import, agent access. Breadth in thinking, discipline in shipping.

Rigor is a design decision, not a disclaimer. The platform describes, never prescribes; every claim is graded to its evidence.
The LLM writes words, never numbers. Extraction, thresholds and indices are deterministic and reproducible.
Safety is not opt-in. Follow a protocol and you inherit its safety markers and a mandatory baseline.
Open by code and by data. AGPL software; the public dataset is a clonable snapshot anyone can self-host.

Join us

Build this with us.

This is open infrastructure, and it is early. Every one of these roles is genuinely open — and each one changes what the project becomes.

Biohackers

Bring your experience

Shape the specification with what you actually do, and bring your protocols and measurements into the software. The domain model is only as good as the people who practise the domain.

Software hackers

Build it

AGPL, public specification, open issues. Backend, data pipelines, front-end, standards mapping — the whole thing is written down before it is written in code.

Researchers & scientists

Keep us honest

Help make the data defensible — validity, uncertainty, evidence grading — while keeping the software usable by a beginner. Both constraints are real; we need people who hold them together.

Longevity enthusiasts

Spread it

Volunteer to tell people it exists: community, translation, events, content. A tool nobody knows about produces no data.

Fundraisers & philanthropy

Make it sustainable

Help build a funding pipeline — public grants and philanthropic support — so development continues without the project ever becoming commercial.

Write to us

research@hackingbiology.com

Tell us which of the five you are — and what you would like to work on.

Code

github.com/hackingbiology/biohackit

Telegram Group Chat

Join and contribute

Scan or tap to join — project updates and open discussion.

WeChat 微信

Scan to add Fabio — he will then add you to the biohack.it group chat.
扫码添加 Fabio，随后拉你进 biohack.it 群聊。

About

The Software and the Foundation.

biohack.it is an effort begun in 2022 by Fabio Pietrosanti — a hacker who turned to biology when his mother died of lung cancer. That loss set his focus on the biology of aging; he became a biohacker himself, and set out to give the international community the instrument he wished for himself in hacking his own biology.

The software and the initiative: an open platform for the biohacking and longevity community to document protocols and measure them, together, in the open.

Hacking Biology Foundation

The non-profit foundation behind the initiative — it manages the project and its development, guarantees it never becomes commercial, and pursues social objectives in the service of biohackers and longevity.

We build on the shoulders of others and act as a connector of their data effort: Evipedia (Forever Healthy, CC BY 4.0), the AI4L evidence framework, get-based, and open vocabularies (LOINC, UCUM, RxNorm, OMOP, FHIR). The community already exists on Rapamycin News; now it gets its instrument.

Visit HackingBiology.com ↗