Part 2 · The Main Types of Biohacking, and Where It Is Heading

Part 2 of The Evidence-Based Guide to Biohacking. Part 1 asks what biohacking is and whether it is evidence-based. Part 3 asks how far biohacking can actually be personalized. Part 4 looks at the three challenges that make rigorous personalization so difficult.

Biohacking has no single agreed classification system. That is part of the confusion around it. But five broad types repeatedly appear across its history and current practice: self-tracking, lifestyle biohacking, nutrigenomics, DIY biology and human augmentation. They share one broad idea, that biology can be observed and deliberately changed. Beyond that, they are remarkably different in their tools, evidence and level of risk.

Understanding the differences is the difference between dismissing biohacking as fringe and seeing that some of it is ordinary, evidence-based self-care, while some is genuinely experimental.

A short history of the word

The term is younger than it sounds. Michael Schrage used “biohacking” as early as 1988 in a Washington Post article about do-it-yourself genetic tinkering.¹ The modern self-optimization meaning was later popularized by entrepreneur Dave Asprey, although documented use of the word predates him. Merriam-Webster now records the broader meaning used today.²

One of the real engines underneath modern biohacking was the self-tracking movement. Gary Wolf and Kevin Kelly founded Quantified Self in 2007 around a simple idea: using personal data for self-knowledge.³ Over the following years, that broad idea of tracking yourself to understand yourself spread well beyond the original movement, into the consumer sleep trackers, apps, smart rings and watches many people use today. Research has since examined how self-tracking technologies may influence health and wellbeing.⁴ Around the same time, DIY biology communities were forming around a very different idea: that biological experimentation could happen outside conventional academic and corporate laboratories.⁵ From these overlapping movements, the broad landscape we now call biohacking began to take shape.

The five main types of biohacking

1. Self-tracking

Self-tracking is the systematic measurement of your own body and behaviour: sleep, heart rate variability, glucose, activity, mood and other personal signals. This is probably what most people are actually practising when they wear a smart ring or watch. The idea is simple: collect data over time, look for patterns and use those patterns to make better decisions. It is the data spine of modern biohacking.

But there is an important catch. A device can produce a number without proving what caused that number to change. Your sleep score may improve, but was it the supplement you took, the earlier dinner, the quieter week or simple biological variation? Measurement and causation are not the same thing. We come back to this problem in Part 4 of this guide.

Self-tracking often works hand in hand with lifestyle biohacking, the next type in this guide. Self-tracking is the measurement layer: what is happening in my body? Lifestyle biohacking is the intervention layer: what happens if I change the way I sleep, eat, move or manage stress? In practice, the two often form a loop: measure, change one thing, measure again.

2. Lifestyle biohacking

Lifestyle biohacking is the action side of the measurement loop. It is the deliberate use of sleep, light, movement, nutrition, temperature exposure and stress management to feel and function better. Where self-tracking observes, lifestyle biohacking changes something and looks at the response.

The two often work together. You may track your sleep, change the timing of your evening meal, then watch what happens over the following weeks. Or you may measure your glucose response, change the composition of a meal and measure again. This simple loop, measure, change, measure again, is probably the clearest expression of evidence-based biohacking in everyday life.

Lifestyle biohacking overlaps heavily with preventive health and lifestyle medicine, and it is where much of the strongest evidence lives.

There is a certain irony here. The least futuristic part of biohacking may actually be the most useful. Everything really starts with the basics: proper sleep, good nutrition, regular movement and care of the mind and spirit. These are the true fundamentals, and only once they are in place does it make sense to tinker with anything else. Starting somewhere else is a little like putting up a new building on ground that was never properly prepared. Sleep, exercise and nutrition rarely generate the same excitement as gene editing or implants. But evidence matters more than novelty. As we argued in Part 1 of this guide, most of the value in biohacking sits in these well-evidenced fundamentals. Most of the controversy sits at the frontier. For a deeper look at those fundamentals and their relationship to healthspan, see our guide to the four pillars of longevity.

3. Nutrigenomics

Nutrigenomics studies the relationship between nutrition and genes, including how nutrients may influence gene expression and how genetic variation may affect the way individuals respond to nutrients. The idea is compelling: if people differ genetically, perhaps their optimal nutrition should differ too.

The science is more complicated. Genetic variants can influence nutrient metabolism and biological response, but most common health outcomes are shaped by many genes interacting with behaviour and environment. Research increasingly identifies relationships between genetic variation and nutrient metabolism, but many findings still need validation before they can become routine personalized advice.⁶

Personalized nutrition more broadly is moving forward. A 2024 randomized clinical trial found that a personalized nutrition program using dietary characteristics, individual metabolic responses, microbiome data and health history improved several cardiometabolic outcomes compared with general dietary advice.⁷ But personalized nutrition and a simple DNA diet are not the same thing. The important question is not whether a genetic report can give you a recommendation. It is whether knowing your genetics actually helps you make a better decision, one that ultimately improves your healthspan and longevity.

4. DIY biology

DIY biology, sometimes called DIYbio, is biological experimentation carried out outside conventional research institutions. The people involved vary enormously. Some are trained scientists working in community laboratories. Others are enthusiasts without formal scientific training. In practice, much of this happens in shared community laboratories, where members work at basic biosafety levels under agreed safety rules. The work ranges from citizen-science projects to more provocative self-experimentation.

The movement grew partly from the belief that science should be more open and accessible. It has created genuine experimentation and new scientific communities, but also real debates around biosafety, oversight and responsibility.⁵ Interestingly, this is much closer to the early meaning of biohacking than today’s sleep tracking and wellness culture. It also raises a simple but important problem: an experiment can be innovative without yet being reliable, reproducible or safe.

5. Human augmentation

Human augmentation is the use of technology or biological intervention to alter, extend or add to human capabilities. In the biohacking world, the most visible examples are implanted RFID or NFC chips, magnets and other devices placed inside the body. This is the part of biohacking that attracts the most dramatic headlines. For now, do-it-yourself implants seem to many like a niche, but human augmentation as a whole is actually drawing serious and growing research, development and real-world implementation.

Human augmentation is also broader than implants. At its frontier, it overlaps with neurotechnology, advanced prosthetics, embedded sensors and brain-computer interfaces, and with a much bigger question: can technology extend human abilities rather than simply restore them? That question moves biohacking beyond health and longevity and into the territory of enhancement.

How the five main types compare

Type	What it tries to do	Main tools	Core question
Self-tracking	Observe personal patterns	Wearables and continuous data	What is happening?
Lifestyle biohacking	Change behaviour or exposure	Sleep, food, movement, light and stress practices	What happens if I change something?
Nutrigenomics	Personalize using genetic information	Genetic and nutrition data	Does my biology change the recommendation?
DIY biology	Experiment outside traditional institutions	Laboratory tools	Can biology be experimented with more openly?
Human augmentation	Alter or extend human capabilities	Implants and technology	Can human capabilities be changed or extended?

The central point is simple: biohacking cannot be evaluated as one scientific category because the evidence depends on the specific intervention.

What is real today, and what is still futuristic

Today, parts of biohacking are starting to become mainstream, though mostly at the level of tracking. Wearables and sleep trackers are now widely used, and lifestyle protocols around sleep, food and movement are everywhere. Beyond that, though, much of biohacking is still emerging rather than a routine part of everyday health. Continuous glucose monitors are increasingly discussed beyond traditional diabetes care, even if they are not yet common for those additional use cases. Consumer genetic and microbiome testing is slowly starting to become available. Human augmentation through implants remains a small niche.

At the frontier, researchers are developing genetically programmable wearable devices to monitor physiological and molecular signals with increasing precision.⁸ Microbiome research is exploring more individualized approaches to diet and microbial therapeutics, although clinical translation is still being worked out.⁹ The direction is becoming clearer. The first generation of modern biohacking focused on measuring the body. The emerging frontier is learning how to respond to biology, and in some cases alter it, with far greater precision. For longevity, that shift matters. The ambition is moving from general advice about healthspan toward understanding why two people may respond differently to the same intervention.

So what about AI?

Biohacking is a family of practices, not a single trend, and there is no universally agreed classification system. But looking at the five main types of biohacking separately, self-tracking, lifestyle biohacking, nutrigenomics, DIY biology and human augmentation, makes the field much easier to understand. They sit at very different points on the evidence and risk spectrum. Knowing which type you are looking at does not automatically tell you whether it works, but it tells you which questions to ask. That is the purpose of the Astrela Framework introduced in Part 1 of this guide: evidence, trustworthy measurement and personalization.

And what about artificial intelligence, the tool most people now expect to make biohacking truly personal? It does have a real role. But AI only becomes powerful once we understand what personalization actually requires, and why it is so hard. That is where we go next. Part 3 of this guide asks whether any of these approaches can genuinely be personalized to one person.

This article is educational and is not a substitute for individual medical advice. It describes practices for general understanding only. Astrela does not recommend, endorse or advise against any specific practice, product or intervention. Before starting anything new, especially anything invasive or unregulated, speak with a qualified clinician who knows your situation.