GluWink vs Glucose Analysis

Make your iPhone and Apple Watch a tool for diabetes — not a distraction from it. GluWink does three things, and nothing more: 1. Glucose and carbs visible everywhere. Home Screen, Lock Screen and StandBy widgets in every size. Complications on every Apple Watch face. An optional glucose number on the app icon badge. Turn carb features off in settings if you don't track carbs. 2. Clear status at a glance. Green: all clear. Orange: something needs attention — glucose is high or low, sensor is stale, or (if carb tracking is on) no carbs logged yet. Red: critical high — shield locked until glucose drops below your threshold. Every surface speaks the same three-color language. 3. Optional app blocking — your call. Choose to block other apps at configurable intervals, either always or only when something needs your attention. While blocking is active and the face is orange, GluWink locks other apps until the check-in is done. When the face is red, the check-in is off the table entirely until glucose drops back below the critical threshold — no passphrase override, no disarm. When everything is green — or you've turned blocking off entirely — your phone is just your phone. — Built for two audiences — For parents of children with Type 1: • Set GluWink up once on the child's iPhone using Family Sharing. • Pick which apps stay free to use (the CGM app, school apps, phone, messages). • A passphrase only the parent knows protects the settings. • The child cannot delete the app or skip the check-in. • You can always glance at the home screen badge or a widget to see how things are going. For adults managing their own Type 1: • Authorize GluWink for yourself — no Family Sharing required. • Have a partner, spouse, or friend set the passphrase. The friction is the point. • You can always uninstall — GluWink is honest about that. It nudges, it doesn't imprison. — Where the data comes from — GluWink reads glucose and carbs from Apple Health. Most CGM apps (Dexcom, Libre, CamAPS, xDrip, Loop, iAPS, and others) already write to Apple Health. If yours does, GluWink is a one-tap connection. Prefer Nightscout? Connect a Nightscout site instead — handy when a parent is monitoring a child remotely, or when the diabetes system writes to Nightscout but not Apple Health. On Medtrum? Connect EasyView — works for patients and caregivers. On FreeStyle Libre? Connect LibreLinkUp — GluWink reads direct from Abbott's cloud. Any source can be on at once; the freshest reading wins. Want to try the app first? Demo mode shows realistic glucose and carb data without any sensor. — What you get — • Friendly check-in shield with action items based on the current glucose and (optionally) last carbs. • Three-way signal: green (all clear), orange (check-in needed), red (critical — shield locked until glucose drops). Thresholds are yours to set. • Home Screen, Lock Screen, and StandBy widgets in every size, tinted with the same three-color attention signal. • Apple Watch app and complications — glucose at a glance on every watch face, with optional carbs. • Configurable thresholds, intervals, and (when carb tracking is on) a daily carb grace period. • Block apps always, only when attention is needed, or not at all — you decide. • English and Dutch throughout. — Honest about what GluWink is not — GluWink is not a medical device. It does not replace your CGM, your pump, your endocrinologist, or your judgment. It does not make treatment decisions. It surfaces information that's already on the phone and asks one question: did you do the diabetes thing yet? — Open source — GluWink is open source. Your data stays on your device (with HealthKit), on the Nightscout site you control, or on the LibreLinkUp or EasyView service you connect. There are no accounts, no servers run by us, no analytics, no ads. Source code, build instructions, and the rules engine are all on GitHub. Type 1 diabetes is relentless. The phone doesn't have to be.

Glucose Analysis makes your CGM and glucose finger stick data easy to understand. Built for people who use continuous glucose monitors, and who might supplement that with finger sticks, it pulls your readings from, and writes to, Apple Health and turns them into clear charts, patterns, and insights — all on your device, with no data ever sent to external servers. With any CGM that syncs to Apple Health, Glucose Analysis works with your existing data without any extra setup. DASHBOARD At a glance, see your most recent glucose value colour-coded green (in range), amber (high), or red (low), with a 24-hour sparkline so you can spot trends instantly. Stat tiles show your Time in Range and average glucose from the last 7 days of CGM data. A Dawn Effect card appears automatically when your morning readings are consistently higher than overnight — a common hormonal pattern — so you know to investigate further. You can also log fasting and bedtime finger stick readings directly in the app, export them as a CSV, or delete them with a swipe. GRAPH EXPLORER Explore your data across 1-day, 7-day, 30-day presets, or set a custom range. Switch between a line chart (best for spotting trends) and a scatter chart (best for seeing density and outliers). Enable Color by Value to color each data point green, amber, or red based on your target range, or turn on Overlays to show your target range as a green band alongside your logged finger stick readings. Export any chart view as a JPEG, PNG, or PDF — including your Time in Range, average glucose, and reading count — using the export button in the top right. PATTERNS Your day is divided into four customizable time periods: Night, Morning, Afternoon, and Evening. The Patterns view shows your mean glucose and standard deviation for each period — a narrower standard deviation means more consistent readings. The hourly pattern chart plots your average glucose for each hour of the day across your selected date range, with a shaded band showing one standard deviation above and below. A Dawn Effect is flagged when your morning average exceeds your overnight average by 10 mg/dL or more. UNDERSTANDING YOUR DATA Time in Range (TIR) — The percentage of readings within your target range. A TIR of 70% or higher is a commonly recommended goal for many people with diabetes, though your personal target should be set with your healthcare provider. Average glucose — The mean of all readings over the selected period. Average alone doesn't tell the whole story — two people with the same average can have very different patterns of highs and lows. Standard deviation — A measure of variability. A lower standard deviation means more consistent, predictable readings. High variability can be just as important to address as a high average. Common patterns to look for: Dawn effect — A rise in the early morning hours driven by hormones like cortisol and growth hormone, visible as a higher Morning average compared to Night. Post-meal spikes — Look for peaks 1-2 hours after your typical meal times in the hourly chart. Compare different meal times to see which have the most impact. Overnight trends — The Night period shows your baseline glucose when food and activity aren't a factor. A gradual rise overnight may indicate the dawn effect; a gradual fall may suggest overnight insulin is too aggressive. Activity effects — Exercise typically lowers glucose during and after activity, though intense exercise can temporarily raise it. Look for dips in the afternoon or evening hours on active days. PRIVACY All data stays on your device. Glucose Analysis reads glucose data from Apple Health and writes finger stick readings back to it. No data is ever sent to external servers. ** IMPORTANT NOTE ** Glucose Analysis is a personal tracking tool and is not a medical device. Always consult your healthcare provider before making any changes to your diabetes management.