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Get inspiration and ideas from hundreds of self-tracking projects documented in our community archive, searchable by tools and topics.
Our archive of hundreds of self-tracking projects.
Essays, links, and short posts from Quantified Self participants on the culture, tools, and methods of self-tracking.
Posts on self-tracking culture, tools, and methods.
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Stuart set out to sequence a memome to find memes ("ideas" and "concepts" rather than viral pictures) associated with longevity and find factors that affect how his memetics change. He recorded most of his ideas that they had over time. For over two years, he logged over 25,000 ideas and categorized them whether he thought those ideas would increase his lifespan or decrease he lifespan. He shares what he's learned, and some inspiration about large scale memome tracking.
Benjamin Smarr has been collecting glucose, body temperature, heart rate, and stomach activity data to see how his body responds to scheduled meals, and whether it keeps the schedule when he fasts.
Mad Ball is a carrier for a rare genetic disease that entailed the risk of having a child with a serious intellectual disability. But how much risk? Through careful self-investigation based on consumer genomics, a reasonable estimate turned out to be possible.
In 2013, at the age of 38, Justin was diagnosed with osteoporosis. After exhausting the usual route of blood tests and scans from the doctors, Justin started to take things more into his own hands by self-tracking. In this video, he talks about how he did it, where is he with with osteoporosis and what other health issues he uncovered from self-tracking.
Mark gets giardia while traveling in Ecuador and embarks on a journey to heal his gut. He attempts to discover how giardia and antibiotics impact the health of his gut.
I've been tracking my blood glucose though I'm not a person with diabetes. Here is what I've learned and the difference it has made in my life.
Sue Lueder had a mystery stomach ailment that started after a vacation to Spain in 2011. After returning from her trip she was beset by consistent and frequent burping attacks. After visiting her physician and receiving a diagnosis for heart burn, which she didn't trust, she began to track her attacks and her diet. In this talk, presented at QS 2013 Global Conference, Sue shows how she tracked her symptoms and used the data to make sense of this mystery food allergy.
Laila Zemrani talks about the vast and often contradictory exercise space and how she found the exercise regimens that were the best fit for her body.
Mike Snyder runs a lab at Stanford focused on finding predictable patterns of potential disease or sickness in ones body by using a huge amount of data. Basically, they are looking for an individual’s healthy state at a personal level and what happens when they transition into other states (i.e. sickness or disease). Mike shares his personal story and data of going through 10 viral infections, Lyme disease and a bike accident. Then, he discusses the sequencing of his genome, which predicted many things that matched his family history, including that he was at risk for type 2 diabetes that he got during the course of the study.
Karl Heilbron wanted to learn about his gut microbiome, so he took a few tests using uBiome. After taking a series of tests, he changed his diet and introduced probiotics, that ended up having an opposite effect in his gut, contradicting their purpose. In this talk, he shares his story and interesting discoveries.
Richard Sprague has been using uBiome for the last two years. uBiome gives individuals access to sequencing technology to sequence their microbiomes and particularly their gut. In this talk, Richard discusses his biome and shares his data from uBiome. He also discusses some of the research he did about cholesterol and gut microbiome, and shares what he has learned from his study.
Esther Dyson is on the board of 23andme and she is also subject number three of the personal genome project. Her entire genome is up online. In this talk, she discusses how genome can help you perhaps predict when you will be dead. She tries to point out in that your genetics matter a lot, for example 70%-80% of your risk for getting Type 1 Diabetes is genetically pre-determined.
