DaySquat
The daily strength app for people in their 40s and 50s. Five minutes a day: the phone counts your reps and rewards you with points.
daysquat.com
ADAY · Vision
Create a Healthier
Everyday Life.
ADAY builds a mobile healthcare platform that uses AI analysis of health data to make everyday life healthier.
1 dot = 10 DaySquat members
01 Approach · Data → Action
ADAY turns mobile health data into
healthy action, every day.
Your phone’s accelerometer, your watch’s heart rate, your daily activity. Every day, mobile devices record how you feel, what you can do and how consistently you move. ADAY reads that data and helps people keep exercising, a little every day.
SIMULATED SIGNAL
Hover to read the signal
EVENT LOGSample day
- CH110 squats counted automatically
- CH2Heart rate back from 118 to 92 in 2 min
- CH338 active minutes today, 5 more than yesterday
- ACTIONSquat reminder set for 7:30 tomorrow morning
02 Live demo · the real algorithm
Pick up your phone
and do ten squats.
This is exactly how DaySquat counts the squats of 140,000 people — no extra device, just the accelerometer inside your phone.
- Tap ‘Start sensor’ below and allow motion access.
- Hold the phone upright against your chest.
- Squat down and stand up slowly — about a second each.
On a computer, the ‘Press & hold’ button runs the same algorithm: hold for about a second, then release, for one rep. Sensor data is processed only in your browser and never stored.
DaySquat rep detectorSTANDBY
0/ 10
|y| — g
A rep counts when the signal rises above 1.05g and then drops below 0.95g.
03 Scale
100 million reps,
built by 140,000 people
140,000+
100M+Total reps · 4 exercises
44.5%Exercised 7+ days in a row
24.7%Joined through a friend
4.5★App rating · 9,000+ reviews
04 Products
Starting with five minutes a day,
we care for people in their 40s and 50s every day.
DaySquat in Korea, ZepSquat in the US — services people in midlife use every day.
ZepSquat
An exercise-snack app for Americans in their 40s and 50s. It picks three moves to fit how you feel that day.
zepsquat.com
05 R&D · Health-data AI
From smartphone and watch data
to blood pressure.
Our blood-pressure prediction model, built with KAIST and Tech University of Korea under a TIPS R&D grant, completed TTA testing in Aug 2026. It is a research result, not a DaySquat feature — and we are extending the same method to predicting strength and muscle function.
96%
Prediction accuracy (100 − MAPE). Mean absolute error: 4.41 mmHg systolic, 3.50 mmHg diastolic.
Collect2.2M+
Features36
ModelLightGBM
TestTTA
Systolicn = 3,873
↑ PredictedMeasured (mmHg) →
Diastolicn = 3,861
↑ PredictedMeasured (mmHg) →
The chart data could not be loaded. Please refresh the page.
Source: TTA test TTA-26-01280 (Aug 2026, 120 people) · reference monitor OMRON HEM-7156 · accuracy = 100 − MAPE · a third-party test of our own model, not a certification.
06 Team & Network
Mobile, AI and medical experts
building midlife strength care together
A mobile team builds the product, university researchers build the technology, and specialists and physicians advise on exercise and medicine.
ADAY team
Shane KimFounder & CEO
MBA, MIT Sloan School of Management
PM & BD, SK Telecom
Economics & Mathematics, Emory University
Sunmin KimFounder & CTO
Solutions Architect, Amazon Web Services
Software Engineer, AspenTech (US)
Computer Science, Univ. of Minnesota
Kelly KimUX · UI
Design, School of Visual Arts
UX/UI Design, SPC Cloud
Justin OhEngineering
Computer Science & Psychology
University of Queensland
Yeonseo ParkR&D
Bioengineering, CHA University
Femtech startup founder
Nahyun KimOperations
AI Medical Data Science
CHA University
AI-NATIVEDesign, operations and R&D build with AI themselves, so we test ideas fast.
Joint research
KAISTTech University of KoreaCHA University
Co-developing AI models for health-data analysis, exercise personalization and habit formation
TIPS R&DTTA test1 patent filed
Advisor
Prof. Junggi Hong
DaySquat Advisor · Dean, Graduate School of Sports Medicine, CHA University
Advises on evidence-based strength programs and content
Physician advisory board · 6
Kyujo LeeOrthopedic Surgeon
Jungwoo LeeProfessor, Orthopedics
Jaeyoung KimInternal Medicine
Sunhyung YooGeneral Surgery
Jehwan YoonOphthalmology
Yohan KimPlastic Surgery
07 Since 2021
Building, testing,
and growing.
From a telehealth service to a strength app and a health-data AI model.
- ADAY Inc. founded
- Telehealth service MARS launched
10,000+ consults
- Selected for TIPS R&D
Joint research with KAIST · Tech University of Korea
- DaySquat launched
10K downloads in 2 months
- BP prediction AI model TTA-tested
- ZepSquat beta launched
US · iOS
InvestorsCNT TechPennant InvestmentDoctors at Aseptic
Create a healthier everyday life.