Free Tech Tools & Calculators

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PC Bottleneck & Gaming Resolution Calculator

Match your processor and GPU to identify component throughput bottlenecks at different resolutions.

Processor (CPU)

Graphics Card (GPU)

Target Resolution

Estimated Bottleneck Percentage

4.8% Ideal Match (No noticeable bottleneck)

Gaming Experience Tier

Ultra 4K & 1440p High Refresh

Your processor and graphics card are exceptionally well-balanced. At 1440p resolution, your GPU can operate near its full 99% compute efficiency without waiting on CPU draw calls.

💡 Pro Tip: Enable XMP/EXPO in your motherboard BIOS to maximize memory bandwidth, reducing 1% low frame time dips in competitive gaming.

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AI Prompt Engineering Studio

Transform brief queries into high-yield, structured prompts optimized for ChatGPT, Claude 3.7, and DeepSeek R1.

Target AI Model

Output Objective

Persona & Tone

Your Raw Topic / Request

Click below to structure system context, constraints, and instructions.

// Click "Generate Engineered Prompt" above to see the structured output template.

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Developer & Systems Command Cheat Sheets

Searchable CLI shortcuts and syntax for Linux administration, Git operations, and Docker workflows.

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2026 GPU & Hardware Matcher Quiz

Answer 3 questions to find the ideal graphics card, matching processor, and power supply for your specific budget and target titles.

GPU Budget Range

Primary Workload

Monitor Resolution

Top Recommended GPU Match

NVIDIA GeForce RTX 4070 Super (12GB)

Recommended PSU

650W – 750W Gold

Recommended Partner Processor: AMD Ryzen 7 7800X3D or Intel Core i5 14600K

Expected Frame Rates: 110-140 FPS on 1440p Ultra Settings

This configuration provides the best price-to-performance ratio for 1440p high-refresh gaming, featuring AV1 encoding, DLSS 3.5 Frame Generation, and sufficient VRAM headroom for demanding 2026 titles.

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Can My PC Run It? Live Game Requirements Checker

Select any modern AAA title and input your hardware configuration to test compatibility and predict real-world FPS metrics.

Target Title

Graphics Card

Processor (CPU)

System Memory

Estimated Compatibility Tier

✨ Recommended Ultra Spec

Playability Score

92 / 100

1080p Resolution 120+ FPS Ultra

1440p Resolution 85–105 FPS High

4K UHD Resolution 55–65 FPS (DLSS)

💡 Optimization Recommendation: Enable DLSS Quality or FSR 3.1 Frame Generation to maintain consistent frame times during high-density urban ray tracing scenes.

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Local AI & LLM VRAM Sizer (2026 Edition)

Calculate exact memory required for DeepSeek R1, LLaMA 3.3, and Qwen across quantization formats and context lengths.

1. AI Model Architecture

2. Quantization Precision

3. Context Window Size

4. Your Hardware Setup

Inference Feasibility Tier

🟡 Partial CPU Offloading Required

Total Memory Footprint

43.2 GB

Model Weights 40.6 GB

KV Cache Size 1.6 GB

CUDA / Context Overhead 1.0 GB

⚡ Deployment Strategy & Speed: Model requires 43.2GB total memory. On a single 24GB RTX 4090, 45% of layers must offload to 32GB+ system RAM via llama.cpp or Ollama. Expected speed: 9–14 tokens/second.

Ollama Command: ollama run deepseek-r1:70b

Tech Boss Developer & Hardware Tools