About
PeakRoutine empowers you to build daily habits that support long-term health and reduce the risk of chronic conditions like prediabetes, type 2 diabetes, PCOS, and stress-related burnout. Why we build this? Because understanding your health data shouldn't require a medical degree. Many of us track our metrics—whether it's glucose levels from a CGM, sleep patterns, or daily activity—but making sense of this information and knowing how to act on it is where most people get stuck. Join our waitlist: https://www.producthunt.com/products/peak-routine
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What are your go-to Youtube ▶️ channels for solopreneurs?
I feel like Im using Youtube more than anything else every single day. I want to learn some "hidden gems" channels, cause I feel I seen it all. Ideally channels around solopreneurship/indiehackers, 0$ marketing strategies, how-to-sell stuff fast, philosophy and economics. Here are my GO-TO channels that I watch almost daily:
@Raoul Pal the Journey man (Macro investing in crypto)
@Money ZG (macro investing in crypto)
@Pursuit of Wonder (interesting concepts around societal psychology & philosophy)
@Fireship - Tech edgelord (lol)
@Greg Isenberg (Solopreneurship)
@Starter Story (Solopreneurship, How to build and market apps)
What are yours?
Health Data Overload: How Do You Connect the Dots?
Hi Product Hunt community,
I've been struggling with something that might resonate with many of you - making sense of all the health data we collect.
After dealing with PCOS, I found myself tracking sleep, nutrition, exercise, and stress levels, but seeing little connection between them. Despite having mountains of data from different apps and wearables, the insights weren't coming together in a useful way.
For example, I couldn't understand why:
Making Sense of Fragmented Health Data - What's Working for You?
Hey Product Hunt community!
I've been on a health journey that started with a PCOS diagnosis, and it led me to an interesting challenge: despite tracking multiple health metrics (sleep, steps, nutrition), I struggled to connect these data points in meaningful ways.
For example, I discovered my "healthy" meals were causing glucose spikes, and intermittent fasting made me unusually tired. It wasn't until I started correlating my sleep patterns with blood sugar levels that I began seeing real patterns.
This experience got me thinking about the broader challenge: