An elite behavioral psychology & texting subtext analyzer engineered with radical honesty, non-neediness principles, and ultra-fast inference.
- Calibrate your natural texting cadence with toggles for All-Lowercase, Dry / Deadpan, Fast & Punchy (< 7 words), and Zero Emoji.
- Pass custom texting samples to mathematically constrain all suggested replies to sound unmistakably like you.
- Switch between active contact profiles (
Sarah (Hinge),Alex (Bumble),Quick Scan). - Record multi-session conversation history and track momentum across scans:
- 📈 Accelerating Interest (Frame holding / high engagement)
- ⚖️ Stable / Plateau (Balanced frame)
- 📉 Decelerating / Frame Loss (Fading / chasing dynamic)
- Automatically detects severe effort mismatch, dry responses, or fading dynamics.
- Delivers a dedicated Walk-Away Play with explicit dignity rules and re-engagement triggers.
- Built on radical honesty, non-neediness, and outcome independence ("Fuck Yes or No").
- Enforces authentic human syntax: strictly 5–12 words, zero emojis, and zero pickup artist clichés.
decoded/
├── app/
│ ├── api/analyze/route.ts # Edge runtime LLM reasoning engine
│ ├── globals.css # Dark frosted-glass design tokens & animations
│ ├── layout.tsx # Standalone PWA shell & typography
│ └── page.tsx # Reactive dashboard, modals & spring physics
├── lib/
│ ├── types.ts # Data models & schemas
│ └── utils.ts # Helper utilities
└── public/
├── icon-192.png # PWA standalone application icon
├── icon-512.png # High-resolution splash icon
├── apple-touch-icon.png # iOS home screen icon
└── manifest.webmanifest # PWA manifest
Configure the following variables in your .env.local or hosting provider:
| Variable | Recommended Value | Description |
|---|---|---|
LLM_API_KEY |
gsk_... |
Groq Cloud API Key |
LLM_BASE_URL |
https://api.groq.com/openai/v1 |
OpenAI-compatible endpoint |
LLM_MODEL |
llama-3.3-70b-versatile |
Ultra-fast high-capacity model |
Note: If no API key is provided, the application runs seamlessly using its built-in rule heuristics engine.
# Clone the repository
git clone https://github.com/comerade2134/decoded.git
cd decoded
# Install dependencies
npm install
# Run local development server
npm run dev
# Run production build validation
npm run build- Push this repository to GitHub.
- Import into Vercel.
- Add your
LLM_API_KEY,LLM_BASE_URL, andLLM_MODELunder Environment Variables. - Click Deploy.
- Zero Database Persistence: All contact dossiers, scan histories, and voice profiles are stored exclusively in your browser's
localStorage. - Zero Tracking: Your personal conversations are never logged, stored on external servers, or used for model training.
Distributed under the MIT License.