RITE Labs
Product Demo · v1

From first ritual to pattern-level insight

A full walkthrough of every screen built for investor decks, customer calls, and anyone who wants to understand Rite in under 2 minutes.

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4 core screens Offline-first AI-powered insights No ads
Screen 01 · Today

The day starts
here instantly.

The Today screen opens in under 100ms. No loading spinner. No "syncing your habits". All data lives on-device first and syncs invisibly in the background.

Drag-to-reorder rituals
Reorder by priority or time of day. The app adapts to your schedule, not the other way around.
Haptic feedback on completion
A physical micro-reward for each check. Dopamine-designed without being manipulative.
Zero loading screens, ever
Isar local database reads at native speed. UI renders before network state is even checked.
Isar DB
Riverpod 2
flutter_animate
Offline-first
9:41
Today
Monday · 3 of 5 done 60%
Morning walk
Done · 7:12 AM
Drink 2L water
Done · 10:00 AM
Read 20 min
Due 8:00 PM
Stretch
Due 9:00 PM
️
Journal
Done · 8:30 AM
+ Add ritual
Screen 02 · Progress

Honest data,
not streak anxiety.

Instead of a streak counter that resets to zero, Rite shows your real consistency rate a more meaningful and less anxiety-inducing metric that keeps users engaged longer.

Consistency rate, not streak count
Miss a day? Your 84% rate barely moves. No doomscrolling, no abandonment.
Weekly heatmap + lifecycle trend
See which days you succeed most, and how your consistency evolves over weeks.
Pattern windows surface automatically
The app identifies your peak completion windows and surfaces them without asking.
fl_chart
Local analytics
No tracking SDKs
9:41
Progress
CONSISTENCY RATE · 30 DAYS
84%
6% from last month · Keep it up
THIS WEEK
M
T
W
T
F
S
S
DAILY COMPLETIONS · LAST 7 DAYS
M
T
W
T
F
S
S

Pattern found: You complete 2 more habits on weekdays before 10 AM.

Screen 03 · AI Coach

Insights that
actually explain.

The AI coach doesn't just say "great job!" it points to specific behavior patterns users can verify themselves. Powered by Claude with automatic Gemini fallback.

Pattern-grounded responses only
Every coach message cites a specific observation from your data no generic motivation.
Anonymized, on-device data only
The coach never sees habit names or personal details only anonymized categorical patterns.
Claude API + Gemini fallback
Provider-agnostic architecture. If one API is slow or unavailable, the other kicks in seamlessly.
Claude API
Gemini 2.5 Flash
Anonymized data
Provider-agnostic
9:41
Rite Coach
AI · Pattern analysis
I've noticed your morning habits have a 3 higher completion rate than evening ones over the past 2 weeks.
Your lowest completion window is 79 PM on weekdays. Two habits are currently scheduled there.
Should I move them to the morning?
Worth trying. Shifting Stretch to 7 AM alongside your walk could improve weekly consistency by ~18% based on your pattern.
analysing this week
Screen 04 · Accountability

Social proof,
without the pressure.

Partners share progress signals asynchronously no live check-ins, no judgment loops. A low-pressure accountability layer that surfaces context when you need it.

Async progress signals
No synchronous check-ins or status pressure. Partners see each other's weekly consistency rate, nothing more.
Private habit names by default
Partners see consistency percentages not which habits you're tracking. Privacy stays intact.
Groups for shared rituals
Teams or friend groups can track shared habits (e.g. daily reading) and see aggregate progress.
Firebase RTDB
Async signals
Privacy-first
9:41
Accountability
3 active
AK
Aditya K.
This week · 5 habits active
91%
SR
Shreya R.
This week · 3 habits active
67%
YM
You
This week · 5 habits active
84%
Aditya on a streak
Shreya missed Wed
You're top this week
Early users · Now open
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