⚡ Biohack Performance
⚡

About

Biohacker, data nerd, skeptic. By Maximilian Naumow.

Biohack Performance was born out of a simple frustration: there are thousands of biohacking blogs but almost none that work with real data. Instead: anecdotes, influencer deals, and claims without substance.

I've worn an HRV tracker daily since February 2024 (Whoop 4.0 → 5.0). That raw data goes into a local database — and I analyze what it actually says, not what marketing promises. It's the one device category where I have my own long-term measurements.

Methodology — what's first-party data here, and what isn't

This site has two kinds of articles, and they are deliberately kept apart:

  • Data-driven analyses (first-party): Anything built on my own WHOOP tracking — HRV trends, sleep, recovery, months-long supplement self-experiments. There are real measurement series behind these, including the ones where nothing came out.
  • Market and spec analyses (third-party): All smart rings (Oura, Ultrahuman, RingConn) and all CGM systems (FreeStyle Libre, Dexcom Stelo, Abbott Lingo). I do not own these devices and have not tested them myself. The basis is manufacturer specifications, datasheets, regulatory filings, published accuracy studies (e.g. MARD values) and independent reviews — each named in the article.
  • No invented measurements: Where no solid source exists, there is no number. A gap beats a figure nobody can check.
  • No PR samples: No sponsored reviews, no "unit provided for review" deals. If that ever happens, it will say so in the article.
  • Honest downsides: No product is without weaknesses. Even a pure spec analysis names what argues against a device.

Every article without first-party measurements carries a transparency note at the top. If that note is absent, the numbers come from my own database.

Data pipeline

My WHOOP data flows together with Apple Health and body composition data (Renpho scale) via automated exports into a local SQLite database. Analysis runs in Python (Pandas, Statsmodels) on a Linux server. This lets me investigate multi-month trends and correlations that an app UI can't surface. Ring and CGM data are not part of this pipeline.

What I don't do

  • No hype cycling: "5 biohacks that will change your life" isn't a thing here. If a method shows no measurable effect after 30 days, I write that (see Sleepmaxxing analysis or Methylene Blue self-test).
  • No medical recommendations: I'm not a doctor, dietitian, or sports scientist. Everything here is self-experimentation and personal opinion.
  • No claiming a hands-on test I didn't run: A comparison built from datasheets is labelled as one, not sold as a review.

Transparency — affiliate links and money

Some articles contain affiliate links (Amazon Partner Program, similar programs). These are marked with an asterisk (*). If you buy through such a link, I get a small commission — your price stays the same.

Important: Affiliate commissions don't influence buying recommendations — my 2026 smart ring ranking would look identical if I earned nothing from it. But a recommendation doesn't imply I own the product: for all rings and CGM systems, the assessment rests on specs, prices and published studies. The articles say so too.

No paid reviews, no sponsored content, no native advertising disguised as tests.

Contact & feedback

I read every piece of feedback — especially the critical kind. If a number in an article looks off or you have a test idea, reach out.

This page also functions as an E-E-A-T signal (Experience, Expertise, Authoritativeness, Trustworthiness) for Google and LLMs. If that means nothing to you: no worries. If it does: you now know why it's this detailed.