Launched this week
PeakRoutine
Personalized health coaching powered by your biomarkers
475 followers
Personalized health coaching powered by your biomarkers
475 followers
PeakRoutine connects your sleep, sunlight, exercise, calories, nutrition, mood, hydration, and more — correlates them against each other — then tells you exactly what it means for your body. No generic plans. Just a proactive AI coach that learns your biology and builds habits around it.
personalized health coaching from biomarkers is the kind of thing that only works if the recommendations stay coherent over time. how do you handle the case where a biomarker shifts (sleep, HRV, fasting glucose) and your last week's plan suddenly contradicts this week's? does it explain the why behind the change or just hand you the new plan?
PeakRoutine
@thenameisarian This is a sharp question — and one of the core product challenges we've been obsessing over.
The short answer: we don't just hand you a new plan. Every recommendation has two elements baked in — why that step was recommended and its expected impact. Beyond that, when a plan changes, the coaching explains the delta: what shifted in your data, why it matters biologically, and why the recommendation is evolving as a result.
Here's how it actually works in practice:
When a biomarker shifts (say your HRV drops 15% over 5 days while sleep duration looks fine), the system doesn't treat it in isolation. It looks at the cluster — did workout intensity spike? Is sunlight exposure down? The coaching narrative is built around that pattern, not the single number.
The "why behind the change" isn't optional — it's the core UI moment. We found in early beta that users ignored recommendations they didn't understand, even good ones. So the coaching surfaces something like: "Your HRV dropped after you hit 3 high-intensity days in a row — your nervous system is signaling it needs recovery, not another push day." The plan change follows from that explanation, not the other way around.
On coherence over time: this is genuinely hard. We maintain a rolling context of your recent biomarker trajectory so a new recommendation doesn't contradict last week's without acknowledging it. If we told you to prioritize Zone 2 cardio last week and we're now saying dial back intensity, the coaching bridges that — it doesn't just silently flip.
What we're still building: a more robust "plan memory" layer that surfaces when the AI updates its model of you and why — so you can see your health narrative evolve, not just get a new set of instructions every Monday.
@siddhant_gupta12 Congrats, cool concept!! Could you expand a bit on the degree of specificity for the advice the product provides? For example if it suggest a diet change, will it suggest specific brands of food that should be purchased and consumed each day of the week based on nutritional facts, etc. or is it a bit broader than that?
PeakRoutine
@millwiller
Great question! PeakRoutine sits in a sweet spot between generic advice and overwhelming prescriptions.
The recommendations are intentionally behavior-focused rather than brand-specific — so instead of "buy Brand X protein bar," you'd see something like "your HRV trends higher on days you log omega-3-rich meals, and lower on days with high-glycaemic or high-saturated-fat foods" with suggested food categories to act on.
The reasoning: research consistently shows that hyper-specific meal plans (buy this, eat that on Tuesday) have very low follow-through rates. What actually drives habit change is understanding why a behavior matters for your biomarkers — then giving you the flexibility to act on it in a way that fits your life.
That said, deeper nutritional specificity (macro targets, meal timing windows) is absolutely on our roadmap as we layer in more data sources. Would love to hear what level of specificity would be most useful for you!
@siddhant_gupta12 that's super helpful, thanks! So it basically will guide someone to very specific nutritional attributes / themes but then leave it up to the user to determine exactly how to incorporate that into their diet. It may help to add in a layer of additional specificity if people want it, but not sure if it'd be worth the work especially data you've seen on the effectiveness of being overly specific
Documentation.AI
Other than the Apple health data, does it also sync with other wearables?
PeakRoutine
@roopreddy Great question! Today it all comes through Apple Health — which means any device that writes to Apple Health (Apple Watch, Oura, Garmin, etc.) already syncs automatically, so we're not locked to one wearable.
Native per-device integrations and Android support are next on the roadmap. Anything specific you're hoping to connect?
GrowMeOrganic
I wear a whoop band. Whoop already has coaching feature. Would Peak Routine still be useful?
PeakRoutine
@iamanantgupta Totally fair question — Whoop's coaching is genuinely solid at what it does. Honest answer: PeakRoutine isn't trying to replace your Whoop, it adds a different layer on top.
Whoop goes deep on recovery and strain inside its own metrics, with one general coach. We're built around breadth and habits instead:
It correlates across your whole picture — sleep, HRV, activity, sunlight, even mood/journaling — not just strain and recovery. That sunlight + mood angle is where a lot of the "aha" lives, and it's mostly outside Whoop's lane.
6 specialist coaches with memory (Sleep, Recovery, Nutrition, etc.) instead of one general voice.
The big one: it's a habit-building engine, not just a daily score. It turns insights into small daily goals and helps you actually stick with them — the part most of us bounce off once the novelty fades.
So if Whoop already keeps you on track, honestly, amazing. But if you've got great data and still aren't changing the daily habits, that gap is exactly what we're built for.
Mailwarm
Which wearables and data sources do you support right now, and do you rely on Apple Health as the hub?
PeakRoutine
@naimz PeakRoutine works with all major wearables — Apple Watch, Oura, WHOOP, Garmin, you name it. Right now we use Apple Health as the hub, so if your device syncs there, you're good to go with zero setup. In the next few weeks though, we're rolling out direct wearable integrations, which means you'll be able to connect multiple devices and pick which one you want powering which activity — so your Oura handles sleep, your Apple Watch handles workouts, that kind of thing.
Looks really interesting Sakshi - using biomarker data to drive coaching recommendations is a much more honest approach than generic advice. What biomarker sources are you currently integrating with? (Oura, Apple Health, blood panels?) - I have a friend of mine that was working in sth similar...
PeakRoutine
@mbertone911 Thanks Marco, really appreciate that — "more honest than generic advice" is exactly the ethos we're going for.
Right now we integrate with Apple Health as our primary data source, which gives us a surprisingly rich picture — HRV, resting heart rate, sleep stages, activity, respiratory rate, blood oxygen, and more. That covers the bulk of what most users are already passively tracking.
Wearables like Oura and WHOOP feed into Apple Health natively, so those users are already getting their data pulled in without any extra setup. Direct API integrations with those platforms are on the roadmap as we grow.
Blood panels are something we're actively thinking about — it's a meaningful gap because metabolic markers like glucose, cortisol, and lipid profiles tell a story that wearables can't. We're exploring structured input flows for that in a future release.
Would love to hear what your friend was building — always happy to connect with people thinking in this space!
PeakRoutine
Hey Product Hunt 👋 Maker here.
PeakRoutine started from a simple frustration: health apps drown you in data and starve you of direction. Most of them hand you dashboards and leave you to play scientist with your own body. The goal here was the opposite: less charts, more "here's what to actually do tomorrow."
So it's built around the things the category mostly ignores:
Per-biomarker AI insights — every metric (sleep, HRV, RHR, sunlight, activity…) gets a plain-English read on how you're doing and exactly what to improve, not just a number on a chart.
Correlation, not dashboards — it connects sleep, HRV, mood, activity and sunlight and surfaces the hidden links (the most common "whoa" moment: morning light before 10am quietly driving both mood and deep sleep).
6 named specialist coaches with memory — Health, Sleep, Fitness, Nutrition, Recovery and Mental Health — all reading the same biomarker data. No generic, one-size AI.
Sunlight / circadian tracking — genuinely rare in health apps, and a real wedge rather than a footnote.
v1 is biomarker insight + correlation, all pulled from Apple Health (hardware-agnostic). Habit execution, direct wearable integration, and parent mode come next.
Would genuinely love for you to tear it apart: what's the one thing you'd need to see before you'd switch from whatever you use today?