brave-habits

bySyimyk

Product Overview Build a Habit Tracker + Focus System that combines daily habit tracking with a smart focus timer and AI-driven insights. The app should help users: Stay consistent with habits Reduce distractions Understand behavior patterns Build long-term identity-based habits ๐Ÿ“Š 1. Main Dashboard (Daily View) Design a simple and clean dashboard optimized for 4โ€“8 habits (to avoid decision fatigue). Header Show a Daily Score Progress Bar Formula: Daily Score = Completed Habits / Total Scheduled Habits Today Habit List Only show habits scheduled for today (based on weekday) Example: If today is Tuesday โ†’ show only Tuesday habits Visual Behavior Active habits โ†’ high contrast Completed habits โ†’ dimmed struck through moved to the bottom Actions per Habit Card โœ… Checkmark โ†’ mark as completed โ–ถ๏ธ Play button โ†’ start focus timer โฑ๏ธ 2. Focus Timer (Core Feature) This is the main productivity feature. Soft Pause System If user leaves app or switches to non-approved app: Timer pauses immediately When user returns: Show Resume Overlay Do NOT reset timer Create slight friction to discourage distraction Whitelist System User can allow certain apps: Examples: Kindle, Spotify, Notion These apps do NOT pause the timer ๐Ÿ“ˆ Focus Efficiency Metric Calculate how focused the user was: Focus Efficiency=( Total Elapsed Time Timer Duration โ€‹ )ร—100 Example: Timer = 45 min Total time = 60 min Efficiency = 75% ๐Ÿ“… 3. Habit Detail View (Growth Map) This view shows long-term progress. Features Horizontal Heatmap GitHub-style (365 days) 7 rows (days), 52 columns (weeks) Scroll horizontally Year Navigation Example: < 2026 > 30-Day Rolling Success Rate Ignore rest days Milestone Progress Show progress toward goals: 1 Month 6 Months 1 Year ๐Ÿค– 4. AI Intelligence Layer Use an LLM (like GPT or Gemini) to analyze user behavior. Features ๐Ÿ”ฎ Slump Predictor Detect patterns like: โ€œUser often skips Fridaysโ€ Warn user before failure ๐Ÿ”— Habit Stacking Analyze completion times Suggest: โ€œDo Habit B right after Habit Aโ€ โš–๏ธ Adaptive Goals Detect difficulty level Adjust automatically: Example: 45 min โ†’ 15 min during busy periods ๐Ÿ’ฌ Natural Language Logging Convert user input into structured data Example: Input: โ€œHad a great workout, felt strongโ€ Output: logged activity + mood ๐Ÿ† 5. Gamification System Shift focus from โ€œstreak pressureโ€ โ†’ โ€œachievement prideโ€ Badges 7 days โ†’ โ€œSparkโ€ 30 days โ†’ โ€œMomentumโ€ 100 days โ†’ โ€œIron Willโ€ 365 days โ†’ โ€œLegendโ€ Trophy Room Display earned badges Show completed habits Identity Habit System When goal is completed: Ask user to convert into Identity Habit Remove pressure but keep streak โš™๏ธ 6. Technical Requirements Data Model Use a Daily Logs table Fields: date status (Completed / Missed / Skipped) focus_efficiency Frontend Behavior Use Optimistic UI Update instantly on click Sync with backend afterward Time Handling Use local device time Ensure correct midnight reset Prevent timezone bugs

Landing
Landing

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Landing design preview
Landing: View Overview
Login: Sign In
Dashboard: View Group Stats
Group Setup: Create Dashboard
Group Setup: Set Challenge
Group Progress: Track Collective
Group Progress: Manage Members