David Tinker (@david_tinker) profile picture

https://teapawt.net/t.co/ggTwbKFrW2 https://teapawt.net/t.co/AQKTqmhL31

Cape Town
Joined May 2009
Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)Photo by David Tinker (@david_tinker)
David Tinker retweeted
Replying to @Danetag
Seeing @tobi 's post - I got it to graph my exercise data from intervals.icu @intervalsicu given their stellar API gives you access to a lot of data and the new HTML-in-Canvas API did a marvellous job - nothing like what you folks did here 🤌
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David Tinker retweeted
Ride. Analyze. Improve. We're excited to announce that iGPSPORT now integrates with Intervals.icu, bringing powerful training insights to every ride. Seamless Ride Syncing Sync your iGPSPORT rides to Intervals.icu and enjoy in-depth analysis.
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1/8 Training intensity zones do NOT divide training adaptations into separate categories. Zone 2 does not increase only mitochondrial density and 1st threshold, just as Zone 5 does not only increase cardiac stroke volume and VO2max. Here’s what you need to understand. 🧵
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David Tinker retweeted
Intervals.icu now has an improved mobile experience, smarter look and is easier to use. 🎉 #cycling #running Check out new features on: forum.intervals.icu/t/interv…
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David Tinker retweeted
INDYA Nutrition software for professionals and athletes now integrates with Intervals.icu! getindya.com/en/indya-integr…
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It might seem somewhat counterintuitive, but that's how it is.
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We have a new paper in PNAS using Mader’s model of muscle metabolism to simulate key exercise phenomena! pnas.org/doi/10.1073/pnas.25… 1/5
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David Tinker retweeted
Intervals.icu now has an improved mobile experience, weather forecasts on any route and more, see the news update #cycling #running forum.intervals.icu/t/interv…
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THREAD 1/7 Cycling safety data Yesterday, former pro & 3x Olympian @michaelibarry asked us about crash data and why UCI doesn't share it. That reminded us of an unfinished story involving PCS, @UCI_cycling, @SafeRoadcycling and @ugent. Here’s the story.
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David Tinker retweeted
Strength. Consistency. Precision. Every run is building toward something — powered by HUAWEI WATCH FIT 5 Series and HUAWEI Health. #HUAWEIWatchFit5 #HUAWEIHealthApp
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David Tinker retweeted
I was so flabbergasted by this that I built a tool just to convert recipes into this format. Upload any URL, image, or text and get back a neat table that you can paste into sheets or export as PNG. Fully free at nic0le.com/recipes ❤️
i can’t believe someone solved recipe design decades ago and everyone just decided to ignore it
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David Tinker retweeted
Did you know that you can analyse Tymewear breathing data in Intervals.icu and push Tymewear workouts to your calendar? #cycling #running
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David Tinker retweeted
Following the Tour de France? Our guide covers all the stages with the likely decisive points identified, climb profiles, weather forecast overlay is coming soon! #TDF2026ᴿᴾ intervals.icu/tour-de-france…
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David Tinker retweeted
Intervals.icu branded kit is now available to supporters! Thanks @ciovitacycling forum.intervals.icu/t/merch-…
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David Tinker retweeted
Intervals.icu now has dark mode, supporters will soon be able to buy branded kit from @ciovitacycling, Download 1 year of history from @GoZwift ! forum.intervals.icu/t/interv…
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David Tinker retweeted
Major cognitive dissonance reading this. This guy is obviously a way better developer than I’ll ever be, but to my mind type systems are just another way to write tests. If you go without types, you still do the same amount of work except you do it in your tests. Which seems like more work than just using types. What am I missing?
Agents don't need types. They're perfectly capable of pulling off incredible refactorings without. Give them a linter and a test suite, and you have all you need. Token efficiency is where it's at.
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30 years ago I was working with elite athletes and drawing training zones on paper based on blood lactate curves. No substrate data. No indirect calorimetry. Just the conviction that something metabolically distinct was happening at each intensity — and that Zone 2 was where the most important adaptation was taking place. In 2005 I began adding fat and carbohydrate oxidation rates to the picture, and what the substrate data revealed confirmed what the lactate curves had been suggesting all along: each intensity represents a distinct metabolic state, not just a point on a continuum of effort. That work became the Metabolic Map in 2013. Then the metabolic flexibility paper with George Brooks in 2018. And now the updated 2026 framework, which maps four metabolic states onto classical threshold models and asks a question the older models never quite posed: Is the system in optimal metabolic balance, or is it drifting away from it? Lactate turns out to be the best real-time proxy we have for answering that question. It tracks metabolic equilibrium, the onset of drift, and the progression toward overload better than any other single variable we can measure in the field. Thirty years of work. One molecule. One central question. My last substack article open.substack.com/pub/inigos…
🤖 Made with AI
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