Project Alpha: Velocity
Hyper-casual arcade racer built on custom physics engine. Features procedurally generated tracks and 60fps stability on mobile devices.
Mobile
Hacenob Lab
Engineering Tomorrow's Digital Assets
Our internal R&D division explores bleeding-edge technologies, from procedural generation engines to physics-based animation systems. This lab showcases our experimental frameworks and production-ready assets.
Core Tech Stack
v2026.Q1Unreal Engine 5.3
Primary rendering pipeline with custom Lumen configurations and Nanite mesh streaming for cinematic quality real-time visuals.
Proprietary Algorithms
Custom pathfinding and behavioral trees optimized for massive entity counts, reducing CPU overhead by 40% in stress tests.
Static Analysis CI
Automated code quality gates enforce strict design patterns, preventing technical debt accumulation before merge.
Workflow Protocols
- ▸ Unit test coverage > 90% for core systems
- ▸ Performance budget: 16.6ms frame time
- ▸ Memory profiling on every commit
- ▸ Cross-platform build verification
Featured Projects
Selection of recent prototypes and production assets.
Project Beta: Echoes
Narrative-driven pixel art RPG with branching dialogue system and dynamic morality mechanics. Focuses on atmospheric storytelling.
PC/Console
Project Gamma: Flux
Real-time fluid dynamics simulator for industrial visualization. Uses GPU compute shaders for particle accuracy.
Simulation
Terrain Gen v3
Procedural world-building toolkit for open-world games. Features biomes, erosion simulation, and LOD management.
Tools
HUD Framework
Modular UI system for games and tools. CSS-driven animations with hardware acceleration, zero external dependencies.
Frontend
Neural Graph
Behavior tree editor for AI agents. Visual scripting interface with live debugging and performance metrics.
AI Tools
Asset Library
Async Task Manager
C++ / Blueprint
void UTaskManager::ProcessQueue() {
// Priority-based execution
if (TaskQueue.IsEmpty()) return;
ExecuteTask(TaskQueue.Dequeue());
}
Lock-free queue implementation for high-frequency task scheduling in multi-threaded environments.
Memory Pool Allocator
Rust
pub struct Pool<T> {
blocks: Vec<Box<[T; 64]>>,
free_list: Stack<*mut T>,
}
Zero-allocation object pooling for real-time systems. Cache-friendly memory layout.
Hacenob Field Guide
The Core Concept: Deterministic Systems
In game development and interactive systems, "deterministic" means that given the same input and state, the system will always produce the exact same output. This is critical for replay systems, network synchronization, and debugging. At Hacenob, we enforce deterministic logic from the ground up rather than treating it as an afterthought.
Decision Criteria
- ✓ Fixed-point arithmetic: Use integers instead of floats for physics to avoid floating-point drift across platforms.
- ✓ No randomness in core loops: Randomness is seeded and injected at the frame level, never inside update logic.
- ✓ Strict tick rates: Decouple rendering frequency from simulation frequency. Fixed 60Hz physics ticks, interpolated visuals.
Common Mistakes to Avoid
- Using platform-specific math functions (sin, cos, sqrt) without verification
- Relying on unordered map iteration or hash-based collections in simulation code
- Allowing time-based inputs to influence physics state directly
- Ignoring compiler flags that affect floating-point behavior
Quick Reference: Glossary
- Tick
- Single iteration of the simulation loop. Fixed delta time.
- Replication
- Data sent from server to clients to maintain synchronized state.
- Lerp
- Linear interpolation. Smooths visual movement between ticks.
- Jitter Buffer
- Network queue that compensates for packet arrival variance.
Protocol Checklist
• Verify byte-level consistency
• Test on 32-bit and 64-bit targets
• Profile memory allocators
• Run long-duration soak tests
Development Workflow
Our four-phase pipeline for shipping reliable interactive systems.
1
Define & Constraint
Establish performance budgets, input requirements, and platform targets. Document edge cases.
2
Validate & Select
Prototype candidate algorithms. Run benchmarks and validate against deterministic requirements.
3
Implement
Write production code with strict static analysis. Integrate unit tests and profiling hooks.
4
Review & Iterate
Analyze telemetry and replays. Refine parameters and optimize hot paths.
Example: Input Handling
When handling controller input, raw values are quantized to 16-bit integers immediately upon capture. This ensures bit-exact replication across the network. The client simulates locally using the quantized values, while the server validates using the same deterministic function. Visual smoothing (lerping) is applied only to the render state, never to the simulation state.
Quality Signals
Benchmark Results
Current rendering pipeline achieves 16.2ms average frame time on RTX 3080 at 4K resolution with full dynamic lighting.
Verified: 2026-Q1 Internal Report
Scenario Test: Network Lockstep
In a 128-player simulation, state consistency was maintained across 15,000+ consecutive ticks with zero desynchronization events.
Automated CI Batch #4892
Scenario: User Testimonial
"The event replay system caught a heisenbug that only appeared on 32-bit Linux builds. The deterministic log pinpointed the exact frame and input vector." — Senior QA, Simulation Team
Archived: Test Cycle 2025.12
Trust Badges
These controls are implemented throughout our systems:
Privacy-First Telemetry
Configurable Analytics
Memory Leak Detection
Replay Validation
Ready to build together?
Reach out to discuss technical partnerships, asset licensing, or R&D collaboration opportunities.
