Thyself

Enables users to record emotional states through a lightweight form interface that accepts mood selections (likely categorical or scale-based) with optional contextual notes. The system stores mood entries with timestamps in a user-specific database, creating a longitudinal mood history without requiring complex clinical assessments or diagnostic frameworks. Data is persisted server-side with user authentication, allowing retrieval and visualization across time periods.

Aggregates logged mood entries and renders them as visual timelines, charts, or calendar heatmaps showing emotional patterns over days, weeks, or months. The system likely uses client-side charting libraries (e.g., Chart.js, D3.js) to display mood distributions, frequency, and temporal patterns without requiring server-side analytics processing. Users can filter by date range or mood category to identify correlations with life events.

Provides a curated collection of stress-management techniques (likely breathing exercises, progressive muscle relaxation, mindfulness prompts, or grounding techniques) delivered through text instructions, audio guides, or video demonstrations. Content is indexed by category, duration, and difficulty level, allowing users to select exercises matching their current state or available time. The system may track completion history and recommend exercises based on past usage patterns.

Manages user identity through email/password or social login (likely Google, Apple, or Facebook OAuth), stores encrypted credentials, and maintains session tokens for persistent authentication across devices. The system implements standard account features: password reset, profile management, and subscription tier management (freemium model). Authentication likely uses industry-standard libraries (e.g., Firebase Auth, Auth0) rather than custom implementation.

Implements a two-tier access model where free users access core mood tracking and basic stress exercises, while premium users unlock additional features (likely advanced analytics, unlimited exercise library, or ad-free experience). The system tracks subscription status server-side, enforces feature gates based on tier, and manages payment processing for premium upgrades. Billing likely uses Stripe or similar payment processor with recurring subscription management.

Implements a minimal, gesture-based UI optimized for mobile devices with large touch targets, minimal text, and single-screen workflows for core features (mood logging, exercise selection). The design philosophy prioritizes accessibility and reduced cognitive load over feature density, using whitespace, simple typography, and intuitive navigation patterns. The interface likely uses native mobile frameworks (React Native, Flutter) or responsive web design to ensure consistent experience across devices.