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ADIT JANGID
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Superpass.

Superpass is a comprehensive ecosystem that bridges the gap between fitness enthusiasts and studio owners. It includes an AI-powered user app for tracking and bookings, a dedicated partner app for managing payouts and attendance, and a robust admin portal for platform-wide operations.

Founder & Lead Architect2026 - Present
Superpass screenshot 1
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Tech Stack

  • React Native
  • Node.js
  • Python
  • AI Vision
  • NLP
  • PostgreSQL
  • Redis
  • BullMQ

Problem

The fitness industry is highly fragmented. Users struggle with tedious manual calorie tracking and disjointed class booking experiences, while studio owners lack streamlined tools to track attendance, manage capacity, and calculate revenue payouts in real-time.

Solution

I architected a massive three-tier ecosystem: 1. User App: Features frictionless class bookings and an AI-powered nutrition tracker (using 'Scan Food' and 'Text AI'). 2. Partner App: Allows studio owners to track daily reserved seats, live attendance, and calculate real-time payouts (e.g., viewing 45 attendees = ₹12,450 payout). 3. Admin Portal: A centralized command center to oversee user growth, studio onboarding, and financial reconciliation.

Key Decisions

  • Built natively using React Native to ensure a high-performance experience on both the User and Partner apps.
  • Integrated computer vision and NLP to remove friction from nutrition tracking.
  • Used Redis and BullMQ on the backend to handle high-concurrency booking reservations and real-time payout calculations without freezing the database.
  • Designed a dark-mode focused, premium UI to give both users and partners a sense of high-end reliability.

Outcome

The platform successfully unifies the fitness experience. Users get frictionless AI tracking and bookings, while studio owners gain total transparency over their revenue and attendance—all powered by a seamless, highly scalable backend architecture.

Next project

HealthCall