PeakRoutine - Personalized health coaching powered by your biomarkers
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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.
Replies
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.
ChatWebby AI
The correlation engine is the part that stands out to me, surfacing relationships across sleep, HRV and sunlight is genuinely hard to do well at n=1. How many days of synced history do you typically need before the AI starts surfacing confident patterns rather than noise?
PeakRoutine
@zain_sheikh Appreciate that — the n=1 correlation problem is honestly the hardest part to get right
Real answer: it's recurrence-driven, not a fixed day count. We backfill ~90 days the moment you sync, so a lot of the first patterns show up on day one. After that, a high-frequency daily signal (sunlight → that night's sleep) firms up in ~2–3 weeks since you get a data point every day; rarer behaviors take proportionally longer.
So ballpark: confident single-link patterns in a couple of weeks (or instantly if your history already shows them), multi-variable stuff over a month or so. And anything that hasn't earned confidence stays "noticing," not advice — we'd rather under-claim than surface noise.
PeakRoutine
@sakshi_patil8 Thank you so much ✨ Both great questions:
On your data — it's encrypted in transit and at rest, never sold, and never shared with advertisers. You stay in control: you choose what syncs from Apple Health, and you can export or delete everything whenever you want. It's your health data, full stop.
On personalization — it's the opposite of generic. Every recommendation is built off your baselines and your patterns, not population averages. So instead of "everyone should get 8 hours," it's more like "your deep sleep drops on the nights you train after 7pm — here's what to try." The notifications work the same way: they fire off your actual trends and recovery, so they show up when they're relevant to you, not on a generic schedule. The whole point is advice that sounds like it's about you — because it is.
@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
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?
memi
Biomarkers plus coaching is way more useful than another dashboard yelling at me. How do you keep the advice simple enough to actually follow?
PeakRoutine
@sarveshsea Ha — "dashboard yelling at me" is basically this app's villain origin story
The trick is restraint. It might spot ten things but won't dump ten on you — it gives a short ranked list and leads with one priority, the single move that matters most right now. And each step is small and concrete: not "improve your sleep," but "20 min of morning light before 10am, 4 days this week." Plus a quick why, so it reads as a reason, not a nag. Fewer things, said plainly, that fit a real day.
PixFit
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! 👋 I’m Sakshi, one of the makers of PeakRoutine.
We built PeakRoutine because most health apps felt like expensive mirrors.
They showed us sleep scores, steps, HRV, stress, and trends — but still left us asking:
“Okay… what should I actually do today?”
PeakRoutine turns your wearable and lifestyle data into simple, personalized weekly routines across sleep, movement, sunlight, mood, energy, and recovery.
No overwhelming dashboards.
No generic habit lists.
Just small, practical actions that help your body feel better over time.
Our mission is simple:
Turn health data into direction.
We’re launching our first version today and would love your honest feedback:
What’s one thing you wish your wearable or health app helped you improve automatically?
Excited to hear what the PH community thinks 🙏
Humalike
Nice work shipping this! What made you decide to build this now?
PeakRoutine
@borrellbr Thanks so much 😊 The honest answer: we were tired of being data-rich and direction-poor. You open any health app, see ten charts, feel vaguely guilty, and close it — nothing actually changes.
Two things made now the moment: wearables are finally on everyone's wrist, so the data exists — and AI is finally good enough to do the hard part, actually correlating your data into one thing you can do today instead of another generic tip. Felt like the window to build the "okay, now what?" layer before the whole category just ships prettier dashboards.
PeakRoutine
👋 Hey Product Hunt! Hasnain here, and I'm officially declaring war on useless health dashboards. If your smartwatch is great at giving you performance anxiety but terrible at giving you actual solutions, we built something for you.
We were tired of health apps giving us a diagnosis without a prescription.
Right now, using a health tracker feels like having a brilliant researcher who follows you around all day. They can tell you exactly how terrible your sleep score was last night, or that your HRV is trending downward. But the moment you ask, "What should I do about it?", they just shrug and print out another bar chart.
Enter PeakRoutine. We built this to bridge the gap between seeing your data and building habits around it.
Here is how we’re doing things differently:
Connecting the Dots: We analyze how your sleep, movement, sunlight, and energy signals interact with each other to find what actually moves the needle for you.
From Data to Habits: Insights are useless if you don't act on them. We translate your data into specific, daily micro-habits. Instead of just telling you to "reduce stress," we give you a tailored routine you can easily check off.
PeakRoutine doesn't throw generic advice at you like "sleep better." It takes your data and translates it into realistic micro-habits—like prompting you to get 15 minutes of sunlight before 9 AM after a low-recovery night. We help you stack these small, data-backed wins day by day until they become completely automatic.
Habit Stacking: We focus on consistency, helping you turn those small, personalized actions into long-term behavioral changes without the overwhelm.
A lot of effort went into making the insights feel practical. The world doesn't need another complex dashboard; it needs a way to build better habits with the metrics that are already there.
This launch is a huge milestone for us, and we are just getting started. I’ll be hanging out in the comments all day and would love to know:
What is the #1 thing missing from your current health/wearable stack?
Thank you for the support! 🙏