Torglis Portfolio

Engineering high-performance mobile solutions with precision and strategic depth.

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Project Showcase

Selected works demonstrating algorithmic retention models, reflex mechanics, and resource management systems.

Neon Trader

Algorithmic retention engine for high-frequency asset tracking. Utilizes predictive modeling to maintain user engagement loops.

Retention Metrics: +45%
Core Logic: C++ / Rust
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City Blocker

Reflex mechanics engine built for rapid-response mobile gameplay. Focuses on instant input processing and 60fps rendering pipelines.
- Frame Rate: Locked 60 FPS
- Engine: Unity / C#
- Input Latency: <16ms

Equity Clash

Strategic resource management simulation. Features complex data trees and economy balancing for multiplayer environments.

Players: 100+ Concurrent
Stack: React Native / Kotlin
Focus: Economy Scaling

Synapse Link

Real-time data synchronization protocol for distributed mobile systems. Ensures zero-downtime updates.

Pylon Defense

Grid-based tactical defense system. Optimized for touch interface precision and variable screen densities.

Vector Space

Isometric rendering engine for architectural visualization. Lightweight footprint, heavy detail.

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Technical Capabilities

Engine comparison and stack composition. We select tools based on performance targets and project scope.

Engine / Framework	Primary Use Case	Performance	Versatility
Unity	Cross-platform 3D/2D, Complex Physics	High	★ ★ ★ ★ ★
Custom C++	Native Speed, Low-Level Optimization	Extreme	★ ★ ★ ☆ ☆
React Native	Hybrid Apps, Rapid Deployment	Good	★ ★ ★ ★ ☆
Swift / Kotlin	Native iOS / Android Features	High	★ ★ ★ ☆ ☆

Performance Focus

We prioritize frame stability and battery optimization. Our custom C++ modules reduce overhead by roughly 40% compared to standard interpreters.

Hybrid Strategy

For market-integrated features, we utilize React Native with native bridges. This allows shared logic without sacrificing UI responsiveness.

Torglis Field Guide

The Core Concept

Mobile retention is not about endless notifications; it is about creating a "micro-loop" of value. A user opens the app, receives immediate value (visual feedback, data, or progress), and closes it. The loop must be tight—under 90 seconds. If the loop stalls, the user churns.

At Torglis, we engineer these loops using state-machines that react to user input within 16ms. The illusion of infinite responsiveness keeps users engaged.

Decision Criteria

Input Latency: Anything above 100ms feels "laggy" on mobile. We target <20ms.
Visual Continuity: Transitions must not break the spatial map of the user. We use fixed elements to anchor the UI.
Battery Drain: High-refresh animations must be hardware-accelerated. If the battery drops 5% in 10 minutes, the engine is too heavy.

Myth vs. Fact

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Day 1 Day 12

* This is an estimation tool. Actual pricing varies by complexity.

Workflow

01

Define Constraints

We analyze the target audience, device fragmentation, and required touch-response latency. This sets the hardware baseline.

02

Select Architecture

Choosing between Unity for physics-heavy needs or a native Swift/Kotlin stack for UI-centric apps. Speed dictates the tool.

03

Prototype Loop

Building the micro-loop. We measure the time from tap to visual confirmation. If it exceeds 100ms, we refactor.

04

Market Integration

Final deployment with analytics hooks. We track user retention not by days, but by successful loops per session.

Signals of Quality

99.8%

Uptime on deployed native apps. We prioritize stability over feature velocity.

16ms

Average input response time. Measured on mid-range hardware, not flagships.

Zero

Third-party ad trackers in our core SDKs. Privacy is a structural feature.

These metrics are based on internal benchmarks and anonymized client data from 2024-2025 deployments. Results vary by device architecture.