The first app that shows how your workouts affect your blood sugar

AI-powered insights for people with diabetes who want to exercise confidently

Founder Story: Living with Type 1 Diabetes

The Daily Reality

"I'm a marathon runner, but every workout is a gamble. Will I crash at 2am? Should I eat before? How much insulin should I take?"

The Breaking Point

After years of tracking glucose data, fitness metrics, and meals separately, the patterns were invisible. The data existed—but no tool connected the dots.

The Mission

Build the tool I wish I had: One that AUTOMATICALLY correlates my fitness data and tells me exactly how MY body responds to exercise.

The Problem: Fitness and Diabetes Apps Don't Talk

Fitness Apps Know Your Workouts

Strava, Apple Health, Garmin
Track distance, pace, heart rate
No clue about blood sugar

CGM Apps Know Your Glucose

Dexcom, MySugr, Freestyle Libre
Track glucose 24/7
No connection to exercise data

The Gap

37 million people with diabetes exercise in the dark
No way to understand: Which workouts are safe? What causes crashes? How does my body respond?

Market Opportunity: A $537B Problem

37M

People with diabetes in US

90% want to exercise safely

$537B

Annual diabetes costs

Medical + indirect costs

8.2M

CGM users in US

Growing 25% annually

Target Market (TAM/SAM/SOM)

TAM: 37M people with diabetes in US ($555M at $15/mo)

SAM: 8.2M CGM users who exercise ($123M addressable market)

SOM: 50K users in Year 1 ($9M revenue at $15/mo, conservative 0.6% capture)

The Solution: Correlate Your Fitness and Glucose Data

CorrelateWell connects the dots between your workouts and blood sugar

Finally understand how YOUR body responds to exercise

What We Do

Connect Dexcom + Apple Health + Strava
AI analyzes patterns in YOUR data
Show you what works for YOUR body

What You Get

Safe workout recommendations
Predictive glucose insights
Confidence to exercise

How It Works: Connect → Analyze → Predict

1

Connect Your Data

Link Dexcom CGM, Apple Health, and Strava in 60 seconds

↓

2

AI Analyzes Patterns

Our engine correlates workouts with glucose responses—finding patterns you'd never see

↓

3

Get Actionable Insights

"Based on your workout history across the last 28 workouts, you have seen the best blood sugar results when starting the workout between 120-140 mg/dL"

Differentiation: Why No One Else Does This

Feature	CorrelateWell	Supersapiens	MySugr	Garmin
CGM Integration	✓	✓	✓	–
Fitness Data	✓	Limited	–	✓
AI Correlation Engine	✓	–	–	–
Personalized Predictions	✓	–	–	–
For People with Diabetes	✓	Athletes only	✓	–

We're the only platform that correlates fitness and glucose data with AI to provide personalized exercise insights

Product Demo: Real App in Action

Home Dashboard

Weekly activity summary & latest insights

AI-Generated Status

Personalized insights from your patterns

Workout Data

See before/after glucose for every workout

Blood Glucose Timeline

Visual correlation of glucose & exercise

AI-Powered Insights: Real Examples

Actionable recommendations generated from analyzing Michael's workout data

PATTERN

45-Minute Threshold Protocol

Exercises lasting longer than 45 minutes require mid-workout fueling. For runs 45-60 minutes, consume 12g carbs at the 35-minute mark.

RECOMMENDATION

Starting Range: 120-140 mg/dL

42% better completion rates when starting between 120-140 mg/dL (11/13 sessions vs 5/6 partial when starting above 160 mg/dL).

RECOMMENDATION

Morning vs Evening: 38% Better Stability

6:00-9:00 AM sessions show 38% better glucose stability (±15 mg/dL vs ±24 mg/dL) and maintain target range 65% longer.

This level of personalization is impossible without AI correlation — these insights took seconds to generate from 38 workouts

Early Validation: Building Momentum

20+

Beta Waitlist Signups

From initial landing page

Q1 2026

Private Beta Launch

With 50 power users

Traction Signals

User Research: 25+ interviews with people with Type 1 diabetes who exercise
Community Interest: Strong engagement in diabetes fitness communities (Reddit, Facebook)
Technical Validation: I have been using the app myself for the last month as I train for the NYC Marathon—now running more confidently and learning patterns I never could have identified myself
Founder Credibility: Living with T1D + technical background = authentic founder-market fit

Business Model: Simple Subscription Economics

$15/month or $149/year

Less than the cost of a CGM sensor—for insights that could prevent one hospital visit

Revenue Streams

Direct to Consumer: Subscription model ($15/mo)
Annual Plans: $149/year (17% discount, better retention)
Future: B2B partnerships with diabetes clinics

Unit Economics

LTV: $720 (4-year average retention)
CAC: $60 (organic + paid social)
LTV:CAC: 12:1 (excellent SaaS ratio)
Gross Margin: 85% (software-only)

Go-To-Market: Finding Our Athletes

1

People Who Exercise with T1D

Target Strava groups, running clubs, diabetes athlete communities

2

Type 1 Diabetes Community

Partner with influencers, Reddit r/diabetes, Breakthrough T1D, Beyond Type 1

3

Doctor Connections & Endocrinologists

Build relationships with diabetes care providers and endocrinology practices

Growth Loop: Users share breakthrough insights → Social proof → Viral growth in diabetes communities

Roadmap & Milestones: 12-Month Plan

Q4 2025

Private Beta

50 power users
Advanced AI correlations
Feedback loop

Q2 2026

Public Beta

500 users
Fine-tuned AI model
Optimized for all user types

Q3 2026

Official Launch

App Store debut
Paid subscriptions
Marketing push

Q4 2026

Scale

5,000+ users
$75K MRR
Partnerships

Key Milestones

Month 3: Private beta with 50 users, validate advanced AI correlation engine
Month 6: Public beta with 500 users, fine-tune AI for compliance and all user types
Month 9: App Store launch, begin paid acquisition
Month 12: 5,000 paying subscribers, $75K MRR, break-even

Funding Ask: $100K–$500K to Build Full-Time

Raising $250K Seed Round

12-month runway to beta, launch, and first revenue

Use of Funds

$120K: Engineering & AI development (60%)
$50K: Founder salary (part-time → full-time)
$40K: Go-to-market & user acquisition
$40K: Infrastructure, APIs, tools

The Team

Founder: Michael Zarras

13 years with Type 1 diabetes
DevOps engineer at Fortune 500 company
Marathon runner
Lives the problem every day

Advisors: Diabetes educators, endocrinologists

Contact: mzarras@correlatewell.com | correlatewell.com