Hey! I’m Dhaatrik, a 26-year-old entrepreneur from India, building the next generation of tech-driven solutions. I’m a first-principles thinker who believes that the best products come from understanding the absolute fundamentals.

• 🔭 What I’m Building: I’m currently focused on the agriculture domain, working to integrate AI into the core fundamentals of farming to solve real-world problems. I also love building tools for the community, like Vellor, an offline-first tool for independent educators.
  
• 🌱 What I’m Learning: My curiosity usually pulls me toward the "how" and "why" of the universe. Right now, that means diving deep into the math of rocket engineering, the weirdness of quantum mechanics, and the intricacies of human psychology.
  
• 💬 Let's Chat: I’m a huge believer in open communication. Whether you want to talk about recommendation algorithms, SpaceX’s latest launch, or just need some friendly advice on a project you're building, my DMs are always open.
  

Think of me as your friendly neighborhood dev-brother—always down to help, learn, or just talk shop.

Empowering independent educators with a completely free, open-source "Operating System" that makes managing a tutoring business effortless while keeping student data 100% private and offline.

Vellor has evolved into its v4.0.0 "Power-Tutor" update, featuring a full suite of professional tools: automated PDF invoicing, WhatsApp reminder integration, a smart data import wizard, and a deeply customizable gamification engine to help tutors stay motivated.

I noticed that most tutoring tools were either overpriced, overly complex, or invasive with data. I built Vellor to solve this—giving "solopreneur" teachers a professional tool that runs instantly in a browser with zero setup, ensuring they own their data while enjoying a gamified experience.

To bridge the gap between spaceflight games and industry-standard aerospace software by providing an accessible, open-source, and uncompromisingly accurate 4th-order physics environment for mission design and rocket simulation.

DeltaV Lab currently features a robust 50Hz deterministic physics engine using RK4 integration, a modular Vehicle Assembly Building (VAB) with real-time TWR/Delta-V calculations, and a custom autonomous guidance DSL. We are currently in the process of transitioning to a "Space-Grade" hybrid architecture (Rust/WASM) to support 6DOF dynamics, Monte-Carlo dispersion analysis, and high-fidelity environmental models like EGM2008 and NRLMSISE-00.

I wanted to create a platform that combines the creative freedom of Kerbal Space Program with the rigorous mathematical validation required by real-world engineering. By moving simulation logic into dedicated Web Workers and using deterministic integration, DeltaV Lab provides a high-fidelity tool for researchers, students, and "solopreneur" space enthusiasts to test complex orbital maneuvers and vehicle designs without the cost of proprietary software.

To redefine the refueling experience by bringing the station to the user—eliminating wait times and detours through a transparent, mobile-first delivery platform designed for both individual drivers and commercial fleets.

FuelDrop is currently at v3.0.0, featuring a high-concurrency React 19 architecture. Key capabilities include a dual-sided interface (User & Captain dashboards), a "Fleet Mode" for bulk refueling, an "Emergency Refill" priority system with surge logic, and predictive reminders based on tank capacity and daily usage patterns.

Refueling is a legacy friction point in modern logistics. I built FuelDrop to solve the inefficiencies of traditional stations—specifically the lack of real-time tracking for businesses and the unnecessary time wasted by individuals. By treating fuel as a service rather than a destination, we can optimize delivery routes and reduce the carbon footprint associated with "searching for fuel".

FuelDrop was more than just a codebase; it was my primary startup focus during the first quarter of 2025. I’ll soon be sharing a comprehensive deep-dive article on LinkedIn and Medium detailing the entire lifecycle of this venture.

I’m a firm believer that "knowledge kept secret is knowledge wasted". In this upcoming piece, I’ll be pulling back the curtain on:

• The raw reality of building an on-demand logistics startup in India.
• The specific technical and operational mistakes I made along the way.
• The "First-Principle" breakthroughs and the "hard-knock" lessons learned.

If you're an aspiring founder or just curious about the messiness of building from 0 to 1, stay tuned—I’m sharing it all so you can learn from my wins and, more importantly, my mistakes.

To transcend the limitations of single-model AI by simulating a collaborative "council of experts" that debates, critiques, and synthesizes complex problems into high-fidelity, actionable intelligence.

The platform is a state-of-the-art React 19 application featuring advanced orchestration modes like Parallel Collaboration, Sequential Workflows,* and Round-Robin Debate. It currently includes Dynamic Agent Assembly (Beta Mode) for tailoring expert personas to specific requests, real-time Token Usage Tracking, and an Artifact Extraction system for managing code and data in an interactive panel.

Standard AI outputs often suffer from single-viewpoint bias and a lack of critical self-review. I built The Infinite Intelligence to solve this "hallucination of certainty" by forcing models to decompose problems into first principles and engage in multi-round peer-review cycles before providing a final answer. It’s about moving from a single AI "assistant" to a professional-grade "council" that checks its own work.

I’m always up for a deep dive into tech, psychology, or just a good chat. Pick your favorite platform and say hi!