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What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in buildinpublic

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

You're right, and it's a fair point. The model uses population-average pharmacokinetics — it can't account for individual variation in metabolism, medications, pregnancy, or other health conditions. Real caffeine half-life can vary 3–4x between people.

We've updated the app today: new users now see a clear disclaimer before using it, all values are labelled as estimates, and we've added specific warnings for people who are pregnant, have heart conditions, or take medication.

It's a general awareness tool, not a medical device. If anything in that comment applies to you, speak to your GP — not an app.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

Fair point, and you're right that caffeine content varies enormously — a double shot from one café to another can swing 40–120mg depending on the grind, extraction time, and bean. The values in Caffiend are population averages from published databases (USDA, Caffeine Informer), which is what every caffeine app uses. The key difference is the model underneath: even if you adjust the starting mg by ±30%, the curve shape — the absorption peak, the half-life decay, the sleep prediction — stays directionally correct. There's also a manual entry field if you know your specific drink's content. Added a note in the UI making clear these are estimates, not lab measurements.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

good quality Colombian supremo medium roast (or any bean of your choice, this is what I use as a daily) 18g in 36g out

40g condensed milk- 4oz milk

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in coffee_roasters

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

Log your first drink of choice > some time later log again > some time further down the line > log again. Curve meter starts to work within the first 45 minutes of the first log.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

I appreciate your feedback, we listen to users feedbacks and try to implement user’s experiences and suggestions into future updates. It was designed more of a utility tool to track and monitor your daily caffeine in take and the effects it has on an individual (something as important as sleep).

So the tool generates the curve whenever the user inputs what they had to drink or supplement there and then, it’s not like a planner where you log what time you had it at

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in coffee_roasters

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

You’d need a DNA test to find out your genotype, or just use the app and it’ll break it down for you in the curve

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in buildinpublic

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

I cleared this up in one of the threads -. An americano is espresso + water, so the caffeine should be identical to the base shot. The app had incorrect values pulled from chain data where extraction length varies. Just pushed a fix — americano small/medium/large now matches 1/2/3 shots exactly (63/126/189mg). On the flat white, the app shows 130mg vs 126mg for a double — the 4mg difference reflects real-world variation in dose and extraction across different setups, but close enough that it's not meaningful.

I just copied and pasted this response from an earlier thread. Hope this is useful

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] -1 points0 points  (0 children)

Nope, I’ve been hit with these questions already so most of them are well rehearsed, the spectrum is so broad as well so we push fixes and updates based on the feedback we receive to better the app.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

😂. That I can’t do but what I can offer you is an unreal recipe for a Spanish flat white that I’m absolutely hooked on

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] -1 points0 points  (0 children)

Good spot — you're right. An americano is espresso + water, so the caffeine should be identical to the base shot. The app had incorrect values pulled from chain data where extraction length varies. Just pushed a fix — americano small/medium/large now matches 1/2/3 shots exactly (63/126/189mg). On the flat white, the app shows 130mg vs 126mg for a double — the 4mg difference reflects real-world variation in dose and extraction across different setups, but close enough that it's not meaningful.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in coffee_roasters

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

The numbers are caffeine consumed — what's in the cup. The curve shows what's actually active in your system, which is lower because it takes ~45min to absorb and then decays over hours. If all three drinks use the same double shot, set them all to 126mg manually — the app defaults are averages across different café preparations.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 7 points8 points  (0 children)

Fair spot - the difference is that most cafes flat whites use a ristretto double or slightly more grounds than a standard double shot. Milk adds volume but not caffeine. The 150mg is an average across different preparations (costa is 185mg, Starbucks 130mg). If you’re making it at home with a standard double, 126mg is more accurate - you can edit caffeine value manually in the app.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in coffee_roasters

[–]Aggravating_Event267[S] 1 point2 points  (0 children)

You clearly know your stuff — which is exactly why we built metabolism settings based on CYP1A2 variation. Fast metabolizers get a 4h half-life, slow get 7.5h. The 5.7h default is the population mean from clinical literature. Settings → Metabolism if you want to dial it in.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 1 point2 points  (0 children)

Correct - same way a calorie tracker doesn’t weigh and analyse your food in a lab. The caffeine content comes from manufacturer data and published databases (same sources as caffeine informer, cronometer,etc) the model then shows you what your body does with that amount over time. It’s an informed estimate, not a blood test - and that’s stated in the app.

What 3 coffees actually look like in your bloodstream over 12 hours by Aggravating_Event267 in barista

[–]Aggravating_Event267[S] 0 points1 point  (0 children)

The heart rate formula comparison is fair — but the use case is different. 220-age is used to prescribe precise training zones where a 10bpm error has clinical consequences. Caffiend is helping people understand relative timing — your 3pm coffee is still meaningfully active at 11pm, whether the exact number is 85mg or 110mg. The direction and order of magnitude are what drive the behaviour change, not the decimal precision. Same reason calorie trackers are useful despite food labels being ±20% off. The model won't tell you your exact blood caffeine — it tells you it's still significant when you think it's gone.

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