# 07. YAKKI SMART v2.2 → v3.0 Roadmap
**Creation Date:** 2025-11-30
**Version:** 2.2
**Planning Period:** 2025-12 — 2026-12 (12 months)
---
## Table of Contents
1. [Vision & Strategy](#vision--strategy)
2. [Release Timeline](#release-timeline)
3. [Beta Release (Week 1)](#beta-release-week-1)
4. [v1.0 Production Release (Week 8)](#v10-production-release-week-8)
5. [v1.5 Feature Update (Week 16)](#v15-feature-update-week-16)
6. [v2.0 Major Release (Week 24)](#v20-major-release-week-24)
7. [v2.5 Enterprise Features (Week 36)](#v25-enterprise-features-week-36)
8. [v3.0 AI Platform (Week 52)](#v30-ai-platform-week-52)
9. [Technology Roadmap](#technology-roadmap)
10. [Business Milestones](#business-milestones)
---
## Vision & Strategy
### 🎯 Product Vision
**"Break language barriers and personalize AI for every individual"**
YAKKI SMART evolves from:
- **v1.0:** Real-time translator →
- **v2.0:** Multi-scenario AI assistant →
- **v3.0:** Personal AI platform with knowledge graph
### 📈 Strategic Pillars
1. **Core Excellence** (v1.0)
- Production-ready Translator scenario
- Exceptional quality (COMET score >0.75)
- <3s end-to-end latency
- Cost-effective ($0.01/minute)
2. **Scenario Expansion** (v2.0)
- 12 scenarios implemented
- Email client (Yakki Mail)
- Multilingual Conference
- Meeting Summary
- Enterprise features
3. **AI Platform** (v3.0)
- Personal knowledge graph
- Cross-scenario intelligence
- Proactive AI assistance
- Privacy-first architecture
### 🎮 Market Positioning
**Year 1 (2025-2026):**
- **Target:** Early adopters, tech enthusiasts
- **Focus:** Product-market fit, core scenarios
- **GTM:** App stores, word-of-mouth, tech communities
**Year 2 (2026-2027):**
- **Target:** B2B professionals, travelers
- **Focus:** Enterprise features, reliability
- **GTM:** B2B sales, partnerships, content marketing
**Year 3 (2027-2028):**
- **Target:** Mass market, education sector
- **Focus:** Accessibility, localization, scale
- **GTM:** Global expansion, strategic partnerships
---
## Release Timeline
```
2025-12-01 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2026-12-01
Beta v1.0 v1.5 v2.0 v2.5 v3.0
│ │ │ │ │ │
▼ ▼ ▼ ▼ ▼ ▼
Week 1 Week 8 Week 16 Week 24 Week 36 Week 52
┌──────────┬─────────┬─────────┬─────────────┬─────────────────┬────────┐
│ BETA │ v1.0 │ v1.5 │ v2.0 │ v2.5 │ v3.0 │
│ Testing │ Prod │Features │Major │ Enterprise │ AI │
│ │ Launch │ Update │ Release │ Features │Platform│
└──────────┴─────────┴─────────┴─────────────┴─────────────────┴────────┘
Key Milestones:
▸ Week 1: Beta testing begins (100 users)
▸ Week 8: Public launch v1.0 (10K users target)
▸ Week 16: Feature update v1.5 (50K users target)
▸ Week 24: Major release v2.0 (200K users target)
▸ Week 36: Enterprise features v2.5 (500K users, B2B focus)
▸ Week 52: AI Platform v3.0 (1M users, mass market)
```
---
## Beta Release (Week 1)
**Target Date:** 2025-12-07
**Goal:** Validate Translator scenario with 100 early adopters
**Status:** 🟡 1 critical blocker (5 min fix)
### 📦 Included Features
#### Core Scenarios (1/12)
✅ **Translator Scenario v4.3.0** (95% readiness)
- Multi-provider STT (Deepgram, Google Cloud, Device)
- Multi-provider Translation (DeepInfra Qwen/DeepSeek, Gemini)
- TTS Queue with sequential playback
- Wake word detection ("Hey Yakki")
- Quality assessment (COMET-QE)
- Voice commands (Round 5 security)
- Translation history
- 4-language UI (EN, RU, ZH, ES)
#### Infrastructure
✅ Clean Architecture + MVI
✅ DomainError system (24 types)
✅ UiString localization
✅ Hybrid DI (Hilt + Koin)
✅ Circuit Breaker + Retry logic
✅ Remote Config (basic)
### 🚧 Critical Blockers
🔴 **P0-1: Hardcoded HF Token (5 min fix)**
```kotlin
// MUST FIX BEFORE BETA
private val HF_API_TOKEN = BuildConfig.HUGGINGFACE_API_KEY // ✅
```
🔴 **P0-2: Deprecated APIs (2 days)**
- Migrate 11 deprecated method usages
- Test all migrations
### 📋 Beta Testing Plan
**Week 1: Preparation**
- [x] Fix P0-1 (hardcoded token)
- [x] Fix P0-2 (deprecated APIs)
- [ ] Device testing (Thai video)
- [ ] Create beta testing guide
- [ ] Setup TestFlight/Google Play Beta
**Week 1: Beta Launch**
- [ ] Recruit 100 beta testers (tech communities)
- [ ] Distribute beta build
- [ ] Setup feedback channels (Telegram, Discord)
- [ ] Daily bug triage
**Week 1: Metrics**
- Daily Active Users (DAU)
- Translation success rate
- Average latency
- Quality scores (COMET)
- Crash rate
- User feedback (NPS)
### 📊 Success Criteria
- ✅ 80+ beta testers active
- ✅ Translation success rate >95%
- ✅ Average latency <3s
- ✅ COMET score >0.75
- ✅ Crash rate <1%
- ✅ NPS score >40
### 🎯 Beta Outcomes
**Go/No-Go Decision (Week 2):**
- **GO:** Proceed to v1.0 development
- **NO-GO:** Fix critical issues, extend beta
---
## v1.0 Production Release (Week 8)
**Target Date:** 2026-02-01
**Goal:** Public launch with production-ready Translator scenario
**Users Target:** 10,000 users (Month 1)
### 📦 Included Features
#### Core Scenarios (4/12)
✅ **Translator Scenario v4.3.0** (100% readiness)
- All beta features +
- Dynamic language pair selection (UI)
- Google Cloud STT integrated
- Analytics (Firebase)
- Crash reporting (Crashlytics)
✅ **Document Analyzer** (100%)
- 8 document types
- Gemini 2.0 Flash
- RAG integration
✅ **Chat with RAG** (100%)
- Backend integration complete
- Vector search functional
- SmartRAG v3 connected
✅ **SMS Integration** (100%)
- Send/read SMS
- SmartRAG indexing
#### SmartRAG v3 (90%)
✅ **Phase 1 Persistent RAG** (100%)
- External storage
- Migration with ZIP backup
- index.json metadata
✅ **ONNX Embeddings** (100%)
- Gemma 300M integrated
- On-device embedding generation
- Semantic search functional
✅ **Language Detection** (100%)
- CLD3 primary solution
- 107 languages
✅ **Entity Graph** (100%)
- Persona-based knowledge
- SMS/Contacts adapters
- NER
#### Infrastructure Improvements
✅ Settings screen (100%)
- Functional settings
- RemoteConfig integration
- Dynamic configuration
✅ Test Coverage (60%+)
- App module: 40% → 60%
- SmartRAG: 30% → 50%
- Conductor: 87% (maintained)
✅ Security Hardening
- All API keys in BuildConfig
- ProGuard rules (release)
- Certificate pinning
- Network security config
### 🚀 Development Sprints
**Sprint 1-2 (Weeks 2-3): ONNX Integration**
- Week 2: ONNX Runtime 1.19.2 + tokenizer
- Week 3: Model optimization + testing
- **Deliverable:** Semantic search functional
**Sprint 3-4 (Weeks 4-5): Settings & Config**
- Week 4: Settings screen implementation
- Week 5: RemoteConfig migration
- **Deliverable:** Dynamic configuration
**Sprint 5-6 (Weeks 6-7): Polish & Testing**
- Week 6: UI polish, bug fixes
- Week 7: Integration testing, load testing
- **Deliverable:** Production-ready build
**Sprint 7 (Week 8): Launch Preparation**
- App Store submission (review time)
- Marketing materials
- Launch day operations
- **Deliverable:** v1.0 PUBLIC LAUNCH
### 📊 v1.0 Success Metrics
**Month 1 (Week 8-12):**
- 10K total users
- 2K DAU (20% retention)
- 500 translations/day
- NPS >50
- App Store rating >4.0
**Month 3 (Week 12-20):**
- 50K total users
- 10K DAU (20% retention)
- 5K translations/day
- Revenue: $2K MRR (freemium)
### 💰 Monetization (v1.0)
**Freemium Model:**
```
FREE TIER:
- 10 translations/day
- Device STT/TTS
- Basic quality
PRO TIER ($9.99/month):
- Unlimited translations
- Cloud STT (Deepgram)
- Quality assessment
- Translation history
- Priority support
BUSINESS TIER ($29.99/month):
- All Pro features
- Team collaboration
- Advanced analytics
- Custom models
- API access
```
---
## v1.5 Feature Update (Week 16)
**Target Date:** 2026-04-01
**Goal:** Expand scenarios, improve UX
**Users Target:** 50,000 users
### 📦 New Features
#### New Scenarios (2 new = 6/12 total)
✅ **Meeting Summary Scenario**
```kotlin
Features:
- Real-time meeting transcription
- Speaker identification
- Automatic summary generation
- Action items extraction
- Export to PDF/DOCX
- Calendar integration
Tech Stack:
- Deepgram STT (diarization)
- Gemini 2.0 Flash (summarization)
- Speaker embedding (on-device)
Timeline: 3-4 weeks
```
✅ **Lecture Notes Scenario**
```kotlin
Features:
- Lecture recording
- Automatic note-taking
- Key concepts extraction
- Quiz generation
- Flashcard creation
- Export to Notion/Obsidian
Tech Stack:
- Google Cloud STT (long-form)
- Gemini 2.0 Flash (note generation)
- SmartRAG (knowledge indexing)
Timeline: 3-4 weeks
```
#### UX Improvements
✅ **Onboarding Flow**
- Interactive tutorial
- Use case selection
- Permission requests (contextual)
- Sample scenarios
✅ **Offline Mode**
- Offline translation (Device STT/TTS)
- Cached translations
- Queue for cloud processing
- Offline indicator
✅ **Widgets**
- Home screen widget (quick translate)
- Lock screen widget (iOS)
- Quick Settings tile (Android)
#### Performance Optimizations
✅ **Latency Reduction**
- STT: 200ms → 150ms (Deepgram optimization)
- Translation: 800ms → 600ms (model caching)
- Total: 1.5s → 1.2s (20% improvement)
✅ **Battery Optimization**
- Wake word: 5% → 3% battery drain
- Background sync: Adaptive intervals
- Doze mode support
✅ **Memory Optimization**
- ONNX model: int8 quantization
- Image caching: LRU cache
- Background limit: 200MB → 150MB
### 📊 v1.5 Success Metrics
**Month 6 (Week 20-28):**
- 50K total users
- 10K DAU (20% retention)
- 15K translations/day
- 2 scenarios/user (avg)
- Revenue: $10K MRR
---
## v2.0 Major Release (Week 24)
**Target Date:** 2026-06-01
**Goal:** Multi-scenario AI assistant with email client
**Users Target:** 200,000 users
### 📦 Major Features
#### New Scenarios (4 new = 10/12 total)
✅ **Yakki Mail - Email Client** (FLAGSHIP)
```kotlin
Features:
- Multi-account support (Gmail, Outlook, IMAP)
- OAuth2 flow
- Smart inbox (AI-powered)
- Email translation
- Smart compose (AI suggestions)
- RAG integration (email search)
- Push notifications (IMAP IDLE)
- HTML rendering
- Attachment handling
- Offline mode
Tech Stack:
- Jakarta Mail 2.0.1
- Room cache
- Gemini 2.5 Flash (compose)
- SmartRAG (search)
Timeline: 6-9 weeks
Development Phases:
- Phase 2: UI Layer (4 weeks)
- Phase 3: Room Cache (2 weeks)
- Phase 4: Push Notifications (2 weeks)
```
✅ **Multilingual Conference Scenario**
```kotlin
Features:
- Real-time multi-language translation (up to 6 languages)
- Speaker identification
- Live transcription for all participants
- Translation into each participant's language
- Conference recording
- Post-conference summary
- Action items distribution
Tech Stack:
- Deepgram STT (multi-channel)
- DeepInfra translation (streaming)
- Speaker diarization (ML Kit)
- WebRTC for audio sharing
Timeline: 6-8 weeks
```
✅ **Tour Guide Scenario**
```kotlin
Features:
- Location-based translation
- AR overlay (camera + translation)
- Offline maps + translation
- Points of interest (POI) info
- Cultural tips
- Restaurant menu translation
- Public transport assistance
Tech Stack:
- Google Maps API
- ARCore (Android) / ARKit (iOS)
- Offline translation models
- SmartRAG (POI database)
Timeline: 2-3 weeks
```
✅ **Life Coach Scenario**
```kotlin
Features:
- Daily check-ins
- Goal tracking
- Habit formation
- Motivational messages
- Mental health support
- Journaling with AI insights
- Progress analytics
Tech Stack:
- Gemini 2.5 Flash (coaching)
- SmartRAG (journal storage)
- Notification scheduler
- Sentiment analysis
Timeline: 3-4 weeks
```
#### Advanced SmartRAG Features
✅ **Graph-based Knowledge**
```kotlin
Features:
- Entity relationships
- Temporal knowledge graph
- Cross-document insights
- Knowledge discovery
- Visual knowledge browser
Implementation:
- Neo4j Embedded (graph database)
- Entity linking (advanced NER)
- Relationship extraction
- Graph visualization (Compose Canvas)
```
✅ **Multi-modal RAG**
```kotlin
Features:
- Image understanding (OCR + vision)
- Audio notes (transcription + indexing)
- Video summaries
- Document relationships
Tech Stack:
- ML Kit Vision
- Gemini 2.5 Flash (multi-modal)
- CLIP embeddings (image-text)
```
#### Bluetooth LE Audio
✅ **LE Audio Support** (Experimental)
```kotlin
Features:
- Connected Isochronous Stream (CIS)
- Broadcast Isochronous Stream (BIS)
- Auracast (audio sharing)
- Multi-device audio
- Low latency (<50ms)
Status: Mark as experimental in v2.0
Full implementation: v2.5
```
### 🏗️ Architecture Evolution
**v2.0 Architecture Improvements:**
1. **Modular Scenarios**
```kotlin
interface Scenario {
val id: String
val name: UiString
val icon: ImageVector
fun createScreen(): @Composable () -> Unit
fun createViewModel(): ViewModel
}
// Dynamic scenario loading
class ScenarioRegistry {
fun registerScenario(scenario: Scenario)
fun getAvailableScenarios(): List<Scenario>
}
```
2. **Event Bus**
```kotlin
// Cross-scenario communication
sealed class SystemEvent {
data class TranslationCompleted(val text: String)
data class DocumentAdded(val documentId: Long)
data class EmailReceived(val email: Email)
}
class EventBus {
val events: Flow<SystemEvent>
suspend fun emit(event: SystemEvent)
}
```
3. **Plugin System**
```kotlin
// Third-party scenario plugins
interface ScenarioPlugin {
val metadata: PluginMetadata
fun createScenario(): Scenario
}
class PluginManager {
suspend fun loadPlugin(apk: File): ScenarioPlugin
suspend fun installPlugin(plugin: ScenarioPlugin)
}
```
### 📊 v2.0 Success Metrics
**Month 12 (Week 48-52):**
- 200K total users
- 40K DAU (20% retention)
- 100K actions/day (translations, emails, etc.)
- 5 scenarios/user (avg)
- Revenue: $50K MRR
- B2B customers: 50 companies
---
## v2.5 Enterprise Features (Week 36)
**Target Date:** 2026-09-01
**Goal:** Enterprise-ready with team collaboration
**Users Target:** 500,000 users + 200 B2B customers
### 📦 Enterprise Features
#### Team Collaboration
✅ **Team Workspaces**
```kotlin
Features:
- Team accounts (5-50 users)
- Shared translation memory
- Shared knowledge base (SmartRAG)
- Team analytics dashboard
- Usage reports
- Centralized billing
Tech Stack:
- Backend API (Ktor)
- PostgreSQL (team data)
- Redis (caching)
- S3 (shared storage)
```
✅ **Admin Dashboard (Web)**
```kotlin
Features:
- User management
- Role-based access control (RBAC)
- Usage analytics
- Cost tracking
- API key management
- Audit logs
Tech Stack:
- React + TypeScript
- Recharts (analytics)
- Tailwind CSS
```
✅ **API Access**
```kotlin
// REST API for integration
POST /api/v1/translate
{
"text": "Hello",
"source": "en",
"target": "ru"
}
Response:
{
"translation": "Привет",
"quality_score": 0.85,
"latency_ms": 850
}
Rate Limits:
- Free: 100 req/day
- Pro: 10K req/day
- Business: 100K req/day
- Enterprise: Unlimited
```
#### Advanced Analytics
✅ **User Analytics**
- Usage patterns
- Scenario adoption
- Quality trends
- Cost analysis
- Churn prediction
✅ **Performance Monitoring**
- Real-time latency dashboard
- Error tracking (Sentry)
- Uptime monitoring (99.9% SLA)
- Cost optimization recommendations
#### Compliance & Security
✅ **Enterprise Security**
- SOC 2 Type II certification
- GDPR compliance
- Data residency options (EU, US, Asia)
- End-to-end encryption
- Single Sign-On (SSO) via SAML
- Two-factor authentication (2FA)
✅ **Data Export & Portability**
- Export all user data (JSON, CSV)
- Import from competitors
- GDPR data deletion
### 💰 Enterprise Pricing
```
BUSINESS TIER ($29.99/user/month):
- All Pro features
- Team workspaces (up to 10 users)
- Shared knowledge base
- Basic analytics
- Email support
ENTERPRISE TIER (Custom pricing):
- All Business features
- Unlimited users
- Dedicated infrastructure
- Custom models
- API access (unlimited)
- SSO/SAML
- SLA 99.9%
- Dedicated support
- Custom integrations
Starting at $1,000/month (20 users)
```
### 📊 v2.5 Success Metrics
**Month 18 (Week 72-78):**
- 500K total users
- 100K DAU (20% retention)
- Revenue: $150K MRR
- B2C: $80K (freemium)
- B2B: $70K (enterprise)
- B2B customers: 200 companies
- Average contract value (ACV): $4,200
---
## v3.0 AI Platform (Week 52)
**Target Date:** 2026-12-01
**Goal:** Personal AI platform with proactive intelligence
**Users Target:** 1,000,000 users
### 📦 Revolutionary Features
#### Proactive AI Assistant
✅ **Context-Aware Assistance**
```kotlin
Features:
- Anticipate user needs based on:
- Time of day
- Location
- Calendar events
- Email context
- Recent activities
Examples:
- Morning: "Coffee order ready in German?"
- Before meeting: "Translate slides to Japanese?"
- Email reply: "Suggest response in French?"
Tech Stack:
- Gemini 2.5 Pro (reasoning)
- SmartRAG (context retrieval)
- On-device ML (privacy-first)
```
✅ **Cross-Scenario Intelligence**
```kotlin
Scenario Chaining:
1. Email arrives (Yakki Mail)
→ AI detects action needed
→ Creates calendar event
→ Adds to RAG knowledge base
2. Meeting scheduled (Calendar)
→ AI prepares translation pairs
→ Loads relevant documents (RAG)
→ Sets up Multilingual Conference
3. Document scanned (SmartRAG)
→ AI extracts entities
→ Links to personas
→ Suggests follow-up actions
```
#### Personal Knowledge Graph
✅ **Unified Knowledge Base**
```
┌─────────────────┐
│ Knowledge Graph │
└─────────────────┘
│
┌────────────┼────────────┐
▼ ▼ ▼
┌───────┐ ┌───────┐ ┌────────┐
│Personas│ │ Events│ │Documents│
└───────┘ └───────┘ └────────┘
│ │ │
┌───┴────────────┴────────────┴───┐
│ Relations │
│ - knows, works_with │
│ - attended, organized │
│ - authored, signed │
└──────────────────────────────────┘
```
✅ **Knowledge Discovery**
```kotlin
Features:
- "Find all emails from John about the contract"
- "Show me documents related to Project X"
- "Who attended meetings with Sarah in Q3?"
- "What topics did I discuss most this month?"
Implementation:
- Graph queries (Cypher-like syntax)
- Semantic search (embeddings)
- Temporal reasoning
- Visual exploration (graph UI)
```
#### Advanced Scenarios (12/12 complete)
✅ **YouTube Scenario** (NEW)
```kotlin
Features:
- Real-time caption translation
- Video dubbing (voice cloning)
- Transcript generation
- Summary generation
- Educational content indexing
Tech Stack:
- YouTube API
- Real-time caption parsing
- Text-to-speech with voice cloning
- SmartRAG (video knowledge)
```
✅ **All 12 Scenarios Complete:**
1. ✅ Translator (v1.0)
2. ✅ Document Analyzer (v1.0)
3. ✅ Chat with RAG (v1.0)
4. ✅ SMS Integration (v1.0)
5. ✅ Meeting Summary (v1.5)
6. ✅ Lecture Notes (v1.5)
7. ✅ Yakki Mail (v2.0)
8. ✅ Multilingual Conference (v2.0)
9. ✅ Tour Guide (v2.0)
10. ✅ Life Coach (v2.0)
11. ✅ YouTube (v3.0)
12. ✅ Custom Scenarios (Plugin System)
#### Multi-Platform Expansion
✅ **Web App** (Progressive Web App)
```kotlin
Features:
- All scenarios available
- Sync with mobile
- Browser extension
- Keyboard shortcuts
Tech Stack:
- React + TypeScript
- WebAssembly (ONNX)
- WebRTC (audio)
- IndexedDB (offline)
```
✅ **Desktop Apps** (Electron)
```kotlin
Platforms:
- Windows (Win 10+)
- macOS (11+)
- Linux (Ubuntu 20.04+)
Features:
- System tray integration
- Global hotkeys
- Native notifications
- Clipboard translation
```
✅ **Wearables**
```kotlin
- Apple Watch app
- Galaxy Watch app
- Smart glasses integration (future)
Features:
- Voice translation
- Quick replies
- Notifications
```
### 🤖 AI Model Strategy (v3.0)
**On-Device Models:**
```
1. Translation (small models, <100MB each)
- Meta NLLB-200 Distilled
- 50 language pairs offline
2. Speech Recognition (Whisper Tiny, 75MB)
- English, Spanish, French, German, Chinese
3. Embeddings (Gemma 300M, 300MB)
- Semantic search
- Already implemented
4. Voice Cloning (TTS, 50MB)
- Personal voice synthesis
- Privacy-first
```
**Cloud Models (Primary):**
```
1. Translation: DeepInfra (Qwen 2.5 72B)
2. LLM: Gemini 2.5 Pro (advanced reasoning)
3. Speech: Deepgram Nova 2
4. Multimodal: Gemini 2.5 Flash
```
### 🌍 Global Expansion
**Languages (v3.0):**
- Translation: 200+ languages (via NLLB + cloud)
- UI: 20 languages
- Voice: 50 languages
**Markets:**
- North America: US, Canada
- Europe: UK, Germany, France, Spain, Italy
- Asia: Japan, South Korea, China, India
- Latin America: Mexico, Brazil, Argentina
### 📊 v3.0 Success Metrics
**Month 24 (Week 96-104):**
- 1M total users
- 200K DAU (20% retention)
- Revenue: $500K MRR
- B2C: $300K
- B2B: $200K
- B2B customers: 1,000 companies
- ARR: $6M
---
## Technology Roadmap
### 2025 Q4 - 2026 Q1 (Beta → v1.0)
**Infrastructure:**
- ✅ Clean Architecture (complete)
- ✅ MVI Pattern (complete)
- ✅ Hybrid DI (complete)
- ⏳ ONNX Runtime (in progress)
- ⏳ RemoteConfig (migration)
**ML Models:**
- ✅ Gemini 2.5 Flash Lite
- ⏳ Gemini 2.5 Flash (upgrade)
- ⏳ EmbeddingGemma 300M (integration)
- ⏳ Deepgram Nova 2 (STT upgrade)
**Backend:**
- ⏳ Firebase (analytics, crashlytics)
- ⏳ Supabase (auth, database) - optional
### 2026 Q2 (v1.5)
**Infrastructure:**
- Offline mode (Service Workers)
- Background sync (WorkManager)
- Widget framework
- Plugin system (foundation)
**ML Models:**
- Whisper Tiny (on-device STT)
- NLLB-200 Distilled (offline translation)
- Speaker diarization (ML Kit)
**Backend:**
- API Gateway (Kong)
- Rate limiting (Redis)
- Caching layer (CloudFlare)
### 2026 Q3 (v2.0)
**Infrastructure:**
- Graph database (Neo4j Embedded)
- Multi-modal processing pipeline
- WebRTC (real-time communication)
- Bluetooth LE Audio stack
**ML Models:**
- Gemini 2.5 Pro (advanced reasoning)
- CLIP (image-text embeddings)
- Voice cloning (Coqui TTS)
- Sentiment analysis (on-device)
**Backend:**
- Kubernetes (scalability)
- gRPC (microservices)
- Event sourcing (Kafka)
- CDN (CloudFlare)
### 2026 Q4 (v2.5 → v3.0)
**Infrastructure:**
- Plugin SDK (third-party scenarios)
- Cross-platform framework (KMP)
- Web app (PWA)
- Desktop apps (Electron)
**ML Models:**
- Custom fine-tuned models (domain-specific)
- Federated learning (privacy-preserving)
- Quantized models (int4, int8)
- Model distillation (smaller, faster)
**Backend:**
- Multi-region deployment (global)
- Edge computing (CloudFlare Workers)
- Real-time collaboration (WebSockets)
- Data residency (GDPR compliance)
---
## Business Milestones
### 2026 Q1: Product-Market Fit
**Goals:**
- ✅ 10K users (v1.0 launch)
- ✅ NPS >50
- ✅ App Store rating >4.0
- ✅ $2K MRR
**Key Activities:**
- Beta testing program
- Public launch (App Store, Google Play)
- Content marketing (blog, YouTube)
- Community building (Discord, Reddit)
### 2026 Q2: Growth
**Goals:**
- ✅ 50K users
- ✅ $10K MRR
- ✅ 20% retention
- ✅ First B2B customer
**Key Activities:**
- Feature updates (v1.5)
- Referral program
- Influencer partnerships
- App Store optimization (ASO)
### 2026 Q3: Expansion
**Goals:**
- ✅ 200K users
- ✅ $50K MRR
- ✅ 50 B2B customers
- ✅ Series A funding ($2-5M)
**Key Activities:**
- Major release (v2.0)
- B2B sales team (3-5 people)
- Strategic partnerships
- International expansion (EU)
### 2026 Q4: Scale
**Goals:**
- ✅ 1M users
- ✅ $500K MRR ($6M ARR)
- ✅ 1,000 B2B customers
- ✅ Profitability (break-even)
**Key Activities:**
- AI Platform launch (v3.0)
- Enterprise sales
- Global expansion (Asia, LATAM)
- Ecosystem development (plugins)
---
## Risk Mitigation
### Technical Risks
**Risk 1: Model Performance**
- **Impact:** High latency, poor quality
- **Mitigation:** Multiple provider fallback, caching, optimization
- **Contingency:** Downgrade to lighter models
**Risk 2: API Costs**
- **Impact:** Unprofitable unit economics
- **Mitigation:** On-device models, cost monitoring, tiered pricing
- **Contingency:** Raise prices, reduce free tier
**Risk 3: Platform Changes**
- **Impact:** Breaking changes (Android, iOS, APIs)
- **Mitigation:** Follow platform updates, diversify providers
- **Contingency:** Quick patches, user communication
### Business Risks
**Risk 1: Competition**
- **Impact:** Google Translate, DeepL, others
- **Mitigation:** Differentiation (scenarios, RAG, privacy)
- **Contingency:** Pivot to B2B, niche markets
**Risk 2: User Acquisition**
- **Impact:** High CAC, low growth
- **Mitigation:** Organic growth (SEO, content), referrals
- **Contingency:** Paid marketing, partnerships
**Risk 3: Churn**
- **Impact:** Low retention, revenue loss
- **Mitigation:** Engagement features, notifications, value delivery
- **Contingency:** Win-back campaigns, product improvements
### Regulatory Risks
**Risk 1: Data Privacy (GDPR, CCPA)**
- **Impact:** Legal issues, fines
- **Mitigation:** Privacy-first design, compliance
- **Contingency:** Legal counsel, user data deletion
**Risk 2: AI Regulations**
- **Impact:** Usage restrictions, compliance costs
- **Mitigation:** Monitor regulations, ethical AI
- **Contingency:** Adapt product, regional differences
---
## Conclusion
**YAKKI SMART Roadmap 2025-2026** presents an ambitious yet achievable plan to evolve from real-time translator to personal AI platform.
### Key Milestones:
📅 **Week 1 (2025-12-07):** Beta release
📅 **Week 8 (2026-02-01):** v1.0 Production launch
📅 **Week 16 (2026-04-01):** v1.5 Feature update
📅 **Week 24 (2026-06-01):** v2.0 Major release
📅 **Week 36 (2026-09-01):** v2.5 Enterprise features
📅 **Week 52 (2026-12-01):** v3.0 AI Platform
### Target Metrics (Year 1):
- 👥 **Users:** 1,000,000
- 💰 **Revenue:** $6M ARR
- 🏢 **B2B:** 1,000 companies
- 🌍 **Markets:** 10+ countries
- 🎯 **Scenarios:** 12/12 complete
**The project is on an excellent trajectory to achieve these goals!**
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**Date:** 2025-11-30
**Version:** 2.2 → 3.0
**Period:** 12 months (2025-12 — 2026-12)
---