Build your data foundation for AI-powered health insights. Discover patterns, delayed reactions, and find what actually works for your body.
Research on 2,029 adults following elimination diets shows that consistent tracking over extended periods enables reliable pattern identification. The science is clear: start early, track consistently, discover your unique patterns.
Food reactions can take 4-7 days to manifest. You need months of data to identify these delayed patterns reliably.
Autoimmune flares and food intolerances have complex triggers requiring longer observation periods for meaningful insights.
Research shows individual variation requires personalized baselines rather than population averages. Your data, your patterns.
AI analysis helps you explore patterns in your tracking data
Explore which foods might trigger specific symptoms through statistical pattern analysis
Explore how exercise, sleep quality, and stress levels might affect your symptoms
Explore pet responses to dietary changes and potential patterns in their health metrics
What you need for meaningful patterns
Research shows dietary interventions require 6+ weeks to establish baseline patterns. The Autoimmune Protocol uses a 6-week elimination phase before analysis can begin (PMC5647120).
Track nutrition entries for 80%+ of meals to ensure comprehensive data for pattern analysis.
At least 3 symptoms tracked regularly with severity scores (1-10) for reliable pattern analysis.
Based on elimination diet reintroduction protocols and autoimmune protocol research
Establish your personal baseline. Focus on consistent daily tracking.
Initial patterns may emerge. Continue consistent tracking.
AI-powered pattern analysis unlocks with sufficient baseline data.
Reliable patterns for complex conditions and autoimmune responses.
Long-term trends and seasonal patterns become clear.
Individual variation studies demonstrate the need for personalized tracking
Food reactions can take 4-7 days to manifest, as documented in elimination diet reintroduction protocols
Both autoimmune flares and food intolerances have complex triggers requiring longer observation periods
Some intolerances only appear after repeated exposure or specific food combinations
Statistical significance for health patterns needs multiple occurrences of patterns across different contexts
Research shows individual variation requires personalized baselines rather than population averages
Pets may have different reaction timelines than humans, requiring species-specific analysis approaches
Start your 14-day free trial and begin tracking your way to optimal wellbeing
The essentials of logging, tracking, and when your patterns unlock.
Three steps. First, you log what you eat — down to the ingredient — plus how you feel: symptoms, energy, skin, digestion, mood. It takes just a few minutes a day. Second, you keep tracking. Many food reactions are delayed — they can show up three to seven days later — which is exactly why guesswork fails and a tracked timeline works. Third, the app surfaces the patterns, and at Day 45 your AI-driven Pattern Modeling Reports unlock to highlight the connections you'd never spot by eye, including those delayed reactions.
You don't count calories, fat or protein — we're not a nutrition tracker. But amounts matter: sensitivities are often dose-dependent — a little might be fine while more, or the same food day after day, tips you over. So note roughly how much you ate, along with your lifestyle and how you feel, and the app finds the links.
Because the trigger could be any single ingredient — and to find it, the app needs to see it come and go. Take our founder, Kristina: her peppered morning scrambled eggs seemed to bring on knee swelling — but was it the eggs, the butter, the salt, or the pepper? The giveaway came when she switched to boiled eggs, which she doesn't pepper, and the swelling stopped. The flare tracked the pepper, not the eggs. Logging each ingredient — not just "eggs" — is what lets the app catch that, so you change the one thing, not your whole diet.
Only the first time. Once you've built a meal with its ingredients, you can copy it into any future day — tomorrow, next week, whenever — and just tweak an ingredient or a portion if something changed. A repeat meal logs in seconds, not a re-type of every ingredient. Most people eat a fairly repeating rotation, so the effort drops off fast. To copy, just tap the copy icon next to any meal — it duplicates the entry, then you set the new date and adjust anything that's different.
No problem — nothing's locked in. Every entry has an edit icon (the pencil) to change it, and a delete icon (the bin) to remove it. Fix a wrong portion, correct an ingredient, or delete the entry entirely.
No — just log the changes. For a one-off symptom, log it with a start and an end. For an ongoing one, start it and leave it active, updating the severity only when it shifts. You don't need to mark every good day or bad day: if your severity moves by 2 or more points — up or down — log it, and the app carries your last reading forward across the days in between. (Prefer the routine, and like seeing a full day-by-day graph? You're welcome to log every day too — entirely up to you.)
Because patterns need enough data to be real. Delayed reactions can take three to seven days to show up, and the modeling needs to see the same thing happen more than once before it'll call it a pattern rather than a coincidence. Show you less than that and it's just a guess dressed up as an answer. So reports unlock at Day 45 — the minimum — and complex patterns can take up to around 90 days as more data builds.
It's diet-agnostic — carnivore, animal-based, AIP, elimination, keto, low-FODMAP, Mediterranean, or no specific diet at all. It works for what you eat, however you eat.
Yes — your data is yours, and you can export it anytime. Data portability is one of the ways we've built the app to be GDPR-compliance-ready.
Build the data foundation now. Discover your patterns when AI analysis launches.