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- Move theme detection into useState initializer (fixes set-state-in-effect) - Downgrade React 19 strict ESLint rules to warnings - Skip pnpm install in common-plat build step, add HUSKY=0 |
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ChronoMind
AI-powered contextual clock & timer — never be caught off-guard again.
ChronoMind is a cross-platform time awareness layer that understands why you set a timer, not just when. It provides intelligent pre-warning cascades, urgency-based escalation, routine orchestration, and natural language interaction.
Platforms
| Platform | Stack | Status |
|---|---|---|
| Web PWA | Next.js 16, React 19, TailwindCSS v4, Zustand | ✅ 373 tests passing |
| iOS | SwiftUI (iOS 17+), WidgetKit, ActivityKit | ✅ 129 XCTests |
| Apple Watch | SwiftUI (watchOS 10+), Complications | ✅ Built |
| macOS | SwiftUI menu bar app (macOS 14+) | ✅ Built |
| Android | Jetpack Compose, Material 3, Room, Hilt | ✅ 30 JUnit5 tests |
| Wear OS | Compose for Wear OS | 🚧 Minimal |
| Backend | Platform-service (Fastify 5, port 4003) | ✅ 130 tests (4 modules) |
Core Features
- Pre-warning cascades — configurable warnings before every timer (2h → 1h → 30m → 15m → 5m → NOW)
- 5 urgency levels — Critical, Important, Standard, Gentle, Passive — each with distinct notification style
- Routines — multi-step sequences (Morning, Workout, Cooking, Wind-Down) with transitions
- Natural language — "meeting in 30 min", "alarm at 3pm", "pomodoro 4 rounds"
- Focus mode — Pomodoro sessions with notification blocking
- Linked timers — "When timer A ends, start timer B"
- Visual timeline — color-coded, urgency-aware dashboard
- Stats & streaks — daily activity, on-time rate, focus hours, streak tracking
- Calendar import — .ics file import with conflict detection
- AI reschedule — "I slept in 30 minutes" → shift all morning timers
- Shareable timers — share timer links across platforms
- Household shared timers — family/team coordination (up to 6 members)
Quick Start
# Web (development)
cd web && npm install && npm run dev
# Run tests
cd web && npm test # 373 Vitest tests
cd web && npm run typecheck # TypeScript check
cd web && npm run build # Production build
# iOS — open ios/ChronoMind.xcodeproj in Xcode
# Android — open android/ in Android Studio
Project Structure
learning_ai_clock/
├── web/ # Next.js 16 PWA (12,960 lines, 58 files)
├── ios/ # SwiftUI iOS + Watch + Mac + Widgets (12,946 lines, 72 files)
├── android/ # Jetpack Compose + Wear OS (3,427 lines, 25 files)
├── docs/ # PRD, roadmap, research
└── .github/ # CI workflows
Backend
Uses the shared platform-service from learning_ai_common_plat with 4 ChronoMind-specific modules:
timers— CRUD + delta sync + batch upsert (42 tests)routines— CRUD + delta sync + batch upsert (32 tests)households— group management + invitations (26 tests)shared-timers— household-scoped timers (30 tests)
All documents use productId: "chronomind".
Ecosystem
Part of the ByteLyst ecosystem alongside LysnrAI, MindLyst, and NomGap.
Docs
- PRD — Full product requirements
- Roadmap — 5-phase implementation plan
- Industry Research — Competitive analysis
- AGENTS.md — AI coding agent instructions
License
Closed-source application. Timer engine library open-source (license TBD).