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yogi-dad/readme.md

Abhishek Garg

Technical Founder · Behavioral Systems Architect

18+ years in production software engineering. Psychology graduate building structured behavioral modeling infrastructure.

Founder of Echos of Mind — a signal-based behavioral intelligence platform.


What I’m Building

Echos of Mind

A deterministic behavioral signal engine designed to model longitudinal emotional patterns without relying on engagement manipulation.

Most mental health apps optimize retention. Echos of Mind optimizes signal precision.


Current System (Early Stage Metrics)

  • Rolling window analysis: 24h / 7d / 30d
  • Core detectors implemented: frequency spike, volatility shift, clustering, intensity deviation
  • Signal cooldown + deduplication: enforced
  • Cron-based idempotent execution layer
  • Infrastructure cost: <$100/month
  • Target: 1000 real active users (weekly signal-density sufficient) within 18 months

Active = ≥3 meaningful entries/month sustained ≥3 months.


Architecture Approach

Behavioral modeling must be deterministic before it becomes adaptive.

System design:

  • Modular NestJS backend
  • Prisma schema-first modeling
  • Indexed MySQL for window queries
  • Detector abstraction interface
  • Per-user baseline tracking
  • RBAC with granular permissions
  • Token lifecycle management
  • Dockerized dev/prod parity

AI interpretation is layered above the signal engine — not embedded inside it.


3-Phase System Evolution

Phase 1 — Structured Journaling Pattern detection based on rolling deviations.

Phase 2 — Adaptive Calibration Per-user baseline refinement and sensitivity tuning.

Phase 3 — Behavioral Operating System Longitudinal multi-domain behavioral abstraction.

Compounding asset: personal baseline evolution over time.


Design Principles

  • Signal density over streaks
  • Precision over frequency
  • Restraint over engagement pressure
  • Longitudinal modeling over reactive feedback

The system should send fewer insights as it becomes more accurate.


Monetization Direction

Aligned with depth of behavioral clarity:

  • Premium adaptive calibration layer
  • Longitudinal behavioral reports
  • Institutional behavioral infrastructure (long-term)

No ads. No retention engineering.


Long-Term Thesis

Clarity compounds when behavior is structured over time.

Echos of Mind begins as a journaling platform. It evolves into adaptive behavioral infrastructure.

Pinned Loading

  1. echos-of-mind echos-of-mind Public

    Signal-based journaling that evolves into behavioral infrastructure. Deterministic-first, privacy-first, no engagement engineering.

  2. behavioral-signal-engine behavioral-signal-engine Public

    Framework-agnostic behavioral signal engine in TypeScript. Rolling-window pattern detection, cooldown enforcement, and detector abstraction.

    TypeScript

  3. production-backend-blueprint production-backend-blueprint Public

    Production-oriented NestJS backend blueprint. JWT auth, RBAC, env validation, rate limiting, cron jobs, Dockerized structure.

    TypeScript