TechCompare
Every scenario, every answer
247 hand-written explainers covering specific display, hardware, and networking scenarios — pre-computed answers backed by the same calculators powering the rest of the site.
Every TechCompare article is a pre-computed answer to a specific hardware or display question, backed by the same calculation engine that powers the interactive tools. Browse by topic below to find the exact scenario you're shopping for, spec'ing, or troubleshooting - each page includes the computed answer in its H1, a hand-written explanation of why it matters, and a deep link into the live calculator so you can adjust the inputs yourself.
PPI & display density
Pixel density and Retina-distance breakdowns for monitors, laptops, TVs, and phones.
24-Inch 1080p: Sharpness & PPI
A 24-inch 1080p monitor has 92 PPI and a Retina viewing distance of 37 inches (94 cm). Compare it to 1440p and 4K display options at this size.
Read explainer ➜24-Inch 1440p: Sharpness & PPI
A 24-inch 1440p monitor has 122 PPI, with a Retina viewing distance of 28 inches (71 cm). Sharp, but requires OS scaling for comfortable UI text.
Read explainer ➜27-Inch 1080p: Is It Too Blurry?
A 27-inch 1080p monitor has just 82 PPI, requiring a 42-inch (107 cm) Retina viewing distance. Learn why it has soft text at standard desk distance.
Read explainer ➜27-Inch 1440p: Sharpness & PPI
A 27-inch 1440p monitor has 109 PPI, with a Retina viewing distance of 32 inches (80 cm). Explore the most popular all-round desktop monitor spec.
Read explainer ➜4K 27-Inch Monitor: Sharpness & PPI
A 27-inch 4K (UHD) monitor has a pixel density of 163 PPI, with a Retina viewing distance of about 21 inches (53 cm). Effectively pixel-free at desk distance.
Read explainer ➜32-Inch 1440p: Sharpness & PPI
A 32-inch 1440p monitor has 92 PPI, matching a 24-inch 1080p screen in pixel density but providing a much larger desktop canvas.
Read explainer ➜4K 32-Inch Monitor: Sharpness & PPI
A 32-inch 4K monitor has 138 PPI and a Retina viewing distance of 25 inches (63 cm). Perfect sharpness to run without OS fractional scaling.
Read explainer ➜34-Inch Ultrawide 1440p: PPI Guide
A 34-inch 3440×1440 ultrawide monitor has a pixel density of 110 PPI, essentially identical to a 27-inch 1440p panel, just wider.
Read explainer ➜49-Inch Super Ultrawide: PPI Guide
A 49-inch 5120x1440 super ultrawide monitor has 109 PPI, matching a 27-inch 1440p panel in sharpness. Replaces two 27-inch monitors with no bezel.
Read explainer ➜4K 55-Inch TV: Sharpness & PPI
A 55-inch 4K TV has a pixel density of 80 PPI, with a Retina viewing distance of about 43 inches (109 cm or 1.1 m). Pixel-free for living-room seating.
Read explainer ➜4K 65-Inch TV: Sharpness & PPI
A 65-inch 4K TV has a pixel density of 68 PPI, with a Retina viewing distance of about 51 inches (128 cm or 1.3 m). The most popular 4K TV size globally.
Read explainer ➜77-Inch 4K TV: Upgrade to 8K?
A 77-inch 4K TV has 57 PPI and a Retina viewing distance of 60 inches (152 cm). See if it is at the limit of where 4K looks clean without 8K.
Read explainer ➜14-Inch 1080p Laptop: Sharpness & PPI
A 14-inch 1080p laptop has a pixel density of 157 PPI, with a Retina viewing distance of about 22 inches (55 cm). The most common laptop screen spec.
Read explainer ➜15.6-Inch 1080p Laptop: Blurry?
A 15.6-inch 1080p laptop screen has 141 PPI and a Retina distance of 24 inches (62 cm). Slightly softer than smaller 14-inch laptop screens.
Read explainer ➜MacBook Air 13.6: PPI & Sharpness
Apple's 13.6-inch MacBook Air (2560×1664 Liquid Retina) has a pixel density of 224 PPI. Well into Retina territory at laptop viewing distance.
Read explainer ➜MacBook Pro 14.2: PPI & Sharpness
Apple's 14.2-inch MacBook Pro (3024×1964 Liquid Retina XDR) has a pixel density of 254 PPI, the highest density on any mainstream laptop.
Read explainer ➜MacBook Pro 16.2: PPI & Sharpness
Apple's 16.2-inch MacBook Pro (3456×2234 Liquid Retina XDR) has a pixel density of 254 PPI, identical to the 14.2-inch model, on a larger canvas.
Read explainer ➜iPhone 15 Pro: PPI & Retina
The iPhone 15 Pro's 6.1-inch Super Retina XDR OLED has a pixel density of 461 PPI. Far past Retina for a phone held at normal reading distance.
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Display bandwidth
What signal bandwidth a given resolution, refresh rate, and bit depth actually need on the wire.
HDMI 2.1 for 4K 60Hz: Cable Guide
4K (3840×2160) at 60 Hz with 8-bit 4:4:4 color needs 13.4 Gbps of bandwidth, comfortably inside HDMI 2.1's 42.6 Gbps effective ceiling and even HDMI 2.0's.
Read explainer ➜HDMI 2.1 4K 120Hz: Cable & Bandwidth
4K 120 Hz with 10-bit 4:4:4 HDR needs 33.4 Gbps, inside HDMI 2.1's 42.6 Gbps effective ceiling, so no DSC is required. The signature HDMI 2.1 mode.
Read explainer ➜HDMI 2.1 4K 144Hz: Cable & DSC
4K 144 Hz with 10-bit 4:4:4 HDR needs 40.1 Gbps, right at HDMI 2.1's 42.6 Gbps effective limit. It fits natively, but beyond this you need DSC.
Read explainer ➜HDMI 2.1 8K 60Hz: Bandwidth & DSC
8K (7680×4320) at 60 Hz with 10-bit 4:2:0 chroma subsampling needs 33.4 Gbps, it fits HDMI 2.1 natively, though most 8K content defaults to DSC for headroom.
Read explainer ➜DP 1.4 1440p 144Hz: Cable & HDR
1440p at 144 Hz with 10-bit 4:4:4 HDR needs 17.8 Gbps, comfortably inside DisplayPort 1.4's 25.9 Gbps effective ceiling. No DSC needed.
Read explainer ➜DP 1.4 1440p 240Hz: Bandwidth & DSC
1440p at 240 Hz with 10-bit 4:4:4 HDR needs 29.7 Gbps, which exceeds DisplayPort 1.4's 25.9 Gbps ceiling. DSC compresses it losslessly to about 7.9 Gbps.
Read explainer ➜DP 1.4 4K 144Hz: DSC Cable Guide
4K at 144 Hz with 10-bit 4:4:4 HDR needs 40.1 Gbps, far beyond DisplayPort 1.4's 25.9 Gbps. DSC compresses it to about 10.7 Gbps, which fits comfortably.
Read explainer ➜DP 2.1 4K 240Hz: Bandwidth Guide
4K at 240 Hz with 10-bit HDR needs 66.9 Gbps. It fits DisplayPort 2.1 UHBR 20 natively without DSC, unlike older DP 1.4 links requiring compression.
Read explainer ➜DP 2.1 8K 60Hz: Uncompressed Cable
8K at 60 Hz with 10-bit 4:4:4 HDR needs 66.9 Gbps, and it fits DisplayPort 2.1 UHBR 20 natively. UHBR 10 and UHBR 13.5 need DSC for this mode.
Read explainer ➜HDMI 2.0 4K 60Hz: Bandwidth & HDR
4K at 60 Hz with 8-bit 4:4:4 color needs 13.4 Gbps, just under HDMI 2.0's 14.4 Gbps effective ceiling. HDR (10-bit) requires dropping to 4:2:2 chroma.
Read explainer ➜3440x1440 Ultrawide 144Hz: Cable Guide
A 34-inch ultrawide at 3440×1440 144 Hz with 10-bit 4:4:4 HDR needs 24.0 Gbps, inside DisplayPort 1.4's 25.9 Gbps ceiling. HDMI 2.1 handles it easily.
Read explainer ➜5120x1440 Super Ultrawide 240Hz: Cable
A 49-inch super ultrawide at 5120×1440 240 Hz with 10-bit 4:4:4 HDR needs 59.5 Gbps, and it requires DisplayPort 2.1 UHBR 20 or DSC on DP 1.4.
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Data transfer times
How long real file sizes take to move at real-world connection speeds.
100 GB over USB 3.0: Transfer Time
Copying a 100 GB file over USB 3.0 (5 Gbps) takes about 2 minutes 40 seconds at the interface's theoretical peak. Real-world drives see 30-40% overhead.
Read explainer ➜1 TB over USB 3.0: SSD vs HDD
Copying a 1 TB file over USB 3.0 (5 Gbps) takes about 26 minutes 40 seconds at peak. Real-world drives typically need 35-60 minutes depending on drive type.
Read explainer ➜4 GB over USB 2.0: Speed Limits
Copying a 4 GB file (standard DVD size) over USB 2.0 (480 Mbps) takes about 1 minute 6 seconds at peak, or 2-3 minutes on a typical USB 2.0 flash drive.
Read explainer ➜1 TB over Thunderbolt 4: SSD Limit
Copying a 1 TB file over Thunderbolt 4 (40 Gbps) takes about 3 minutes 20 seconds at peak, limited in practice by the SSD's sustained write speed.
Read explainer ➜100 GB over Gigabit LAN: Speed
Copying a 100 GB file over Gigabit Ethernet (1000 Mbps) takes about 13 minutes 20 seconds at peak. Real-world SMB transfers typically sustain 110-115 MB/s.
Read explainer ➜1 TB over Gigabit LAN: Speed
Copying 1 TB over Gigabit Ethernet (1000 Mbps) takes about 2 hours 13 minutes. Upgrading to 2.5 GbE or 10 GbE cuts this to 53m and 13m respectively.
Read explainer ➜10 TB over 10GbE: Backup Time
Copying 10 TB over 10 Gigabit Ethernet takes about 2 hours 13 minutes at peak, identical to 1 TB over Gigabit with 10x the data moved.
Read explainer ➜50 GB over WiFi 5: Transfer Time
Copying 50 GB over WiFi 5 takes about 16 mins 40 secs. Real sustained speeds depend heavily on signal strength and network interference.
Read explainer ➜100 GB over WiFi 6: Transfer Time
Copying 100 GB over WiFi 6 takes about 11 mins 7 secs. Compare real sustained speeds and see how OFDMA and MU-MIMO keep performance consistent.
Read explainer ➜200 GB over WiFi 7: MLO Speed
Copying 200 GB over WiFi 7 takes 5 mins 20 secs. Multi-link operation keeps speeds consistent when switching between 2.4/5/6 GHz bands.
Read explainer ➜100 GB to Gen4 NVMe: Cache Limit
Writing 100 GB to a PCIe 4.0 NVMe SSD at 7 GB/s (56 Gbps) takes about 14 seconds, limited by SLC cache size on most consumer drives.
Read explainer ➜500 GB to SATA SSD: Drive Clone
Writing 500 GB to a SATA SSD at 550 MB/s (4.4 Gbps) takes about 15 minutes. Cloning an OS drive to a new SATA SSD is a common real-world case.
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RAM latency
True nanosecond latency for popular DDR3 / DDR4 / DDR5 timing kits.
DDR5-4800 CL40: Is It Too Slow?
DDR5-4800 with CL40-40-40-77 timings has a first-word latency of 16.7 ns and a peak bandwidth of 38.4 GB/s per channel. The JEDEC DDR5 baseline spec.
Read explainer ➜DDR5-5600 CL36: Good Enough?
DDR5-5600 with CL36-36-36-76 timings has a first-word latency of 12.9 ns and a peak bandwidth of 44.8 GB/s per channel. The current Intel JEDEC standard.
Read explainer ➜DDR5-6000 CL30: The AM5 Sweet Spot
DDR5-6000 with CL30-38-38-78 timings has a first-word latency of exactly 10 ns and a peak bandwidth of 48 GB/s per channel. AMD's recommended AM5 sweet spot.
Read explainer ➜DDR5-6400 CL32: Intel Sweet Spot
DDR5-6400 with CL32-39-39-80 timings has a first-word latency of 10 ns and a peak bandwidth of 51.2 GB/s per channel. Intel's typical high-end XMP target.
Read explainer ➜DDR5-7200 CL34: Stable on Intel?
DDR5-7200 CL34 memory features a first-word latency of 9.44 ns and 57.6 GB/s peak bandwidth. View custom high-end XMP targets for Intel platforms.
Read explainer ➜DDR5-8000 CL38: Overclocking Stable?
DDR5-8000 CL38 memory has a first-word latency of 9.5 ns and 64 GB/s peak bandwidth. View bleeding-edge XMP profiles for two-DIMM Intel setups.
Read explainer ➜DDR4-3200 CL16: Still Good in 2026?
DDR4-3200 with CL16-18-18-38 timings has a first-word latency of 10 ns and a peak bandwidth of 25.6 GB/s per channel. JEDEC DDR4 and the OEM default.
Read explainer ➜DDR4-3600 CL16: AM4 Sweet Spot?
DDR4-3600 with CL16-19-19-39 timings has a first-word latency of 8.89 ns and a peak bandwidth of 28.8 GB/s per channel. The AM4 sweet spot.
Read explainer ➜DDR4-4000 CL18: Ryzen & Intel Tuning
DDR4-4000 CL18 memory has a first-word latency of 9 ns and a peak bandwidth of 32 GB/s per channel. High-end XMP profiles for Intel and AMD.
Read explainer ➜DDR3-1600 CL9: Is It Obsolete?
DDR3-1600 with CL9-9-9-24 timings has a first-word latency of 11.25 ns and a peak bandwidth of 12.8 GB/s per channel. The JEDEC DDR3 high-performance spec.
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Power & energy cost
Annual electricity cost for common devices at typical regional kWh prices.
500W Gaming PC: Yearly Power Cost
A 500 W gaming PC running 4 hours a day at 80% load and $0.18/kWh costs about $105.12 a year to power, roughly 584 kWh. Compare against an 850 W build.
Read explainer ➜850W Gaming PC: Yearly Power Cost
An 850 W high-end gaming PC running 4 hours a day at 80% load and $0.18/kWh costs about $178.70 a year to power, about 993 kWh annually. Compare to mid-range.
Read explainer ➜1200W Workstation: Yearly Power Cost
A 1200 W workstation running 8h/day at 80% load and $0.18/kWh costs about $504.58/year. Calculate yearly power bills for render farms and ML rigs.
Read explainer ➜100W NAS Server: 24/7 Yearly Cost
A 100 W home server running 24/7 at 80% load and $0.18/kWh costs about $157.68 a year. Compare always-on power costs for Plex and NAS backups.
Read explainer ➜60W Mini PC Server: 24/7 Homelab Cost
A 60 W Mini PC or low-power home server running 24/7 at 80% load and $0.18/kWh costs about $94.61 a year, 526 kWh. Budget always-on homelab math.
Read explainer ➜1200W Rack Server: 24/7 Yearly Cost
A 1200 W professional rack server running 24/7 at 80% load and $0.18/kWh costs about $1892.16 a year to power, 10,512 kWh. Real colo / homelab economics.
Read explainer ➜230W Gaming Laptop: Yearly Power Cost
A 230 W gaming laptop on its AC adapter 4 hours a day at 80% load and $0.18/kWh costs about $48.36 a year, 269 kWh. Roughly half a comparable desktop.
Read explainer ➜65W Work Laptop: Yearly Power Cost
A 65 W work laptop running 8 hours a day at 60% load and $0.18/kWh costs $20.52 a year. Trivial yearly power costs compared to desktop rigs.
Read explainer ➜100W Office PC: Yearly Power Cost
A 100 W office PC running 8 hours a day at 60% load and $0.18/kWh costs about $31.54 a year, 175 kWh. Cost profile for fleet deployments at business rates.
Read explainer ➜PS5 & Xbox Series X: Yearly Power Cost
A 250 W console (PS5, Xbox Series X) running 3 hours a day at 80% load and $0.18/kWh costs about $39.42 a year, 219 kWh. Cheap compared to any desktop PC.
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Viewing distance
Recommended seating distance for specific TV and monitor sizes.
55-Inch TV: Ideal Seating Distance
A 55-inch TV delivers optimal immersion at a viewing distance of 5.5 feet (1.7 m) to 7.5 feet (2.3 m). Calculate your exact room angles and setup.
Read explainer ➜65-Inch TV: Ideal Seating Distance
A 65-inch TV is best viewed from 6.5 feet (2.0 m) to 8.8 feet (2.7 m). Check your exact viewing angles with our interactive top-down visualizer.
Read explainer ➜75-Inch TV: Ideal Seating Distance
A 75 inch TV provides a massive home theater experience when viewed from 7.5 feet (2.3 meters) to 10.2 feet (3.1 meters). Learn how to set up your room.
Read explainer ➜85-Inch TV: Ideal Seating Distance
An 85-inch TV requires a seating distance of 8.5 feet (2.6 m) to 11.5 feet (3.5 m) for ideal visual comfort. Calculate your custom room setup.
Read explainer ➜42-Inch TV as Monitor: Seating Distance
Using a 42-inch TV as a desktop monitor is a major trend for gamers. Learn about desk depth, ergonomics, and seating distance setup.
Read explainer ➜48-Inch TV as Monitor: Seating Distance
A 48 inch TV used as a PC monitor requires a deep desk setup with 4.8 feet (1.5 meters) to 6.5 feet (2.0 meters) of viewing distance for comfort.
Read explainer ➜THX vs SMPTE: Seating Standards
Understand the major technical differences between the THX 40 degree field of view and the SMPTE 30 degree field of view for optimal TV room placement.
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LLM VRAM & training
Context length, quantization, and GPU memory requirements for popular open weights models.
DeepSeek V4 Pro 1.6T Q4: VRAM Needs
DeepSeek V4 Pro 1.6T at Q4 needs ~1012 GB VRAM all-resident for 1M context, or ~70 GB with active-expert offload. MLA keeps KV cache small.
Read explainer ➜Llama 4 Scout Q4: 10M Context VRAM
Llama 4 Scout at Q4_K_M with native 10M context needs about 2231 GB of VRAM all-resident, or ~2180 GB with expert offload.
Read explainer ➜gpt-oss 20B Q4: Consumer GPU VRAM
gpt-oss 20B at Q4_K_M with native 128K context needs about 19.4 GB of VRAM all-resident, or ~9.3 GB with active-expert offload.
Read explainer ➜Qwen3.5 122B Q4: Frontier MoE VRAM
Qwen3.5 122B at Q4_K_M with native 256K context needs about 104 GB of VRAM all-resident, or ~36 GB with active-expert offload.
Read explainer ➜Nemotron 3 120B Q4: VRAM Breakdown
Nemotron 3 Super 120B Q4 needs ~376 GB of VRAM all-resident for 1M context, or ~310 GB with expert offload. NVIDIA-tuned for H100/H200.
Read explainer ➜Gemma 4 E2B Q4: Tiny Model VRAM
Gemma 4 E2B at Q4_K_M with native 128K context needs about 6.2 GB of VRAM. Interleaved sliding-window attention keeps the KV cache flat at long context.
Read explainer ➜Llama 3.1 70B Q4: GPU Count?
Running Llama 3.1 70B at Q4_K_M with native 128K context needs about 90.4 GB of VRAM. Estimate memory requirements for multi-GPU setups.
Read explainer ➜Llama 3.1 70B FP16: VRAM Cost
Running Llama 3.1 70B at FP16 with native 128K context needs about 201.2 GB of VRAM. Datacenter cards (A100 80GB pair, H100, MI300X) only.
Read explainer ➜Llama 3.1 8B Q4: Laptop GPU VRAM
Running Llama 3.1 8B at Q4_K_M with native 128K context needs about 23.8 GB of VRAM. Calculate memory requirements for desktop GPUs.
Read explainer ➜Llama 3.1 405B Q4: Datacenter VRAM
Running Llama 3.1 405B at Q4_K_M with native 128K context needs about 324 GB of VRAM. Requires multi-GPU server hardware (4x A100 80GB or similar).
Read explainer ➜Qwen 2.5 72B Q4: Multi GPU VRAM
Running Qwen 2.5 72B at Q4_K_M with native 128K context needs about 91.6 GB of VRAM. The KV cache dominates at long contexts.
Read explainer ➜Qwen 2.5 32B Q4: Single GPU VRAM
Running Qwen 2.5 32B at Q4_K_M with native 128K context needs about 57.5 GB of VRAM. Calculate memory requirements for local hosting.
Read explainer ➜Mixtral 8x7B Q4: Classic MoE VRAM
Running Mixtral 8x7B at Q4_K_M with 32K context needs about 34 GB of VRAM. Total weights count even with sparse activation.
Read explainer ➜Mistral 7B Q4: Ultra Compact VRAM
Running Mistral 7B at Q4_K_M with native 32K context needs about 9.0 GB of VRAM. Calculate GPU memory requirements for local execution.
Read explainer ➜Gemma 2 27B Q4: Mid-Size VRAM
Running Gemma 2 27B at Q4_K_M with 8K context needs about 19.2 GB of VRAM. Comfortable on any 24 GB consumer GPU.
Read explainer ➜DeepSeek V3 671B Q4: 128K VRAM
Running DeepSeek V3 671B at Q4_K_M with its native 128K context lands around 416 GB of VRAM in practice (MLA-adjusted). Multi-GPU datacenter only.
Read explainer ➜Llama 3.1 8B 128K: Extended VRAM
Running Llama 3.1 8B with 128K context at Q4_K_M needs about 24 GB of VRAM. The KV cache exceeds the weights at long contexts.
Read explainer ➜Llama 3.1 8B Fine-Tune: VRAM Cost
Full fine-tuning Llama 3.1 8B at FP16 with native 128K context needs about 167.8 GB of VRAM. The Adam optimizer and gradients add roughly 4x weight memory.
Read explainer ➜GLM-5.1 744B Q4: Massive MoE VRAM
GLM-5.1 744B MoE at Q4_K_M with native 200K context needs ~574 GB of VRAM all-resident, or ~140 GB with active-expert offload.
Read explainer ➜Kimi K2.6 1.1T Q4: Trillion VRAM
Kimi K2.6 1.1T MoE at Q4_K_M with native 256K context needs ~772 GB of VRAM all-resident, or ~114 GB with active-expert offload.
Read explainer ➜Phi-4 14B Q4: Dense Model VRAM
Phi-4 14B at Q4_K_M with native 16K context needs about 12.3 GB of VRAM. It fits comfortably on a single 16 GB consumer GPU.
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LLM API pricing
Token pricing, prompt caching discounts, and batch calculation logic for leading cloud APIs.
GPT-5.5 API Pricing: Costs & Calculator
Calculate API costs for OpenAI's GPT-5.5 model. Adjust input/output tokens, prompt caching rates, and monthly volume to estimate pricing.
Read explainer ➜GPT-5.4 API Pricing: Costs & Calculator
Calculate API costs for OpenAI's GPT-5.4 model. Adjust input/output tokens, prompt caching rates, and monthly volume to estimate pricing.
Read explainer ➜Claude Opus 4.8 API: Pricing & Calculator
Calculate costs for Anthropic's Claude Opus 4.8 model. Adjust input and output tokens, caching rates, and monthly volume to estimate your bill.
Read explainer ➜Claude Opus 4.7 API: Pricing & Calculator
Calculate costs for Anthropic's Claude Opus 4.7 model. Adjust input and output tokens, caching rates, and monthly volume to estimate your bill.
Read explainer ➜Claude Sonnet 4.6 API: Pricing & Calculator
Calculate costs for Anthropic's Claude Sonnet 4.6 model. Adjust input/output tokens, caching rates, and volume.
Read explainer ➜Claude Haiku 4.5 API: Pricing & Calculator
Calculate costs for Anthropic's Claude Haiku 4.5 model. Adjust input/output tokens, caching rates, and volume.
Read explainer ➜Gemini 3.1 Pro API: Pricing & Calculator
Calculate API costs for Google's Gemini 3.1 Pro. Adjust input/output tokens, prompt caching rates, and monthly volume to estimate pricing.
Read explainer ➜Gemini 3.5 Flash API: Pricing & Calculator
Calculate API costs for Google's Gemini 3.5 Flash model. Adjust input and output tokens, caching rates, and monthly volume to estimate pricing.
Read explainer ➜DeepSeek V4 Pro API: Pricing & Calculator
Calculate API costs for DeepSeek V4 Pro. Adjust your input/output tokens, prompt caching rates, and monthly volume to estimate total pricing.
Read explainer ➜Mistral Large 3 API: Pricing & Calculator
Calculate API costs for Mistral Large 3. Adjust your input and output tokens, prompt caching discounts, and monthly volume to get estimates.
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Desk setup & multi-monitor layouts
Visual desk space planning for dual, triple, and ultrawide monitor configurations with exact measurements.
Dual 27-inch 1440p monitor setup on a 60-inch desk
Two 27-inch 1440p monitors need about 47 inches (119 cm) flat, or 41 inches (104 cm) angled at 15 degrees. See if they fit your 60-inch desk.
Read explainer ➜Triple 27-Inch Monitor Setup on a 72-Inch Desk Guide
Three 27-inch monitors span roughly 71 inches flat. Angle them at 25 degrees and the footprint shrinks to 65 inches. Learn how to fit them on a 72-inch desk.
Read explainer ➜49-inch ultrawide monitor setup - standard desk guide
A 49-inch 32:9 ultrawide is about 47 inches wide and 14 inches tall. It fits on a 55-inch desk with room to spare, but depth is the real constraint.
Read explainer ➜34-inch ultrawide and vertical 27-inch monitor setup
A 34-inch ultrawide plus a vertical 27-inch monitor needs about 44 inches of width and 24 inches of depth. See the exact footprint.
Read explainer ➜Dual 24-inch 1080p monitor setup on a compact desk
Two 24-inch 1080p monitors are about 41 inches wide flat, or 40 inches angled at 15 degrees. They fit comfortably on a 47-inch desk.
Read explainer ➜32-inch 4K monitor and 27-inch side display desk setup
A 32-inch 4K monitor plus a 27-inch side panel needs about 52 inches (132 cm) of desk width flat, or 47 inches angled. Check if your desk is big enough.
Read explainer ➜Dual 32-inch 4K monitor setup on a 72-inch desk guide
Two 32-inch 4K monitors span about 56 inches flat or 50 inches angled. A 72-inch desk handles them perfectly with room to spare.
Read explainer ➜Dual 27" 1440p portrait coding setup - desk space check
Two 27-inch 1440p monitors in portrait mode are about 24 inches wide and 47 inches tall combined. They fit on a 30-inch deep desk.
Read explainer ➜42-inch OLED monitor setup on a standard desk guide
A 42-inch OLED TV makes a massive 4K monitor. It requires significant desk depth for comfortable viewing. See our physical footprint visualizer.
Read explainer ➜Triple 24-inch 1080p monitor setup on a 60-inch desk
Three 24-inch 1080p monitors span about 61 inches (155 cm) flat. Angled at 20 degrees, they fit perfectly on a 60-inch (152 cm) desk. See the layout here.
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Screen size & dimensions
Real-world monitor and TV dimensions for popular sizes, with exact width and height in inches and centimeters.
24-Inch 16:9 Monitor: Width, Height & Area
A 24-inch 16:9 monitor is 20.9 inches (53.1 cm) wide by 11.8 inches (29.9 cm) tall. See how its screen area compares to 27-inch and 32-inch displays.
Read explainer ➜27-Inch 16:9 Monitor: Dimensions & Desk Fit
A 27-inch 16:9 monitor is 23.5 inches (59.8 cm) wide by 13.2 inches (33.6 cm) tall, with 311 sq in of area. The most popular desktop monitor size explained.
Read explainer ➜32-Inch 16:9 Monitor: Dimensions & Space
A 32-inch 16:9 monitor is 27.9 inches (70.8 cm) wide by 15.7 inches (39.9 cm) tall. 438 sq in of area. A 4K big-screen experience without going ultrawide.
Read explainer ➜34-Inch 21:9 Ultrawide Dimensions
A 34-inch 21:9 ultrawide is 31.4 inches wide by 13.4 inches tall, with 422 sq in of area. See how it stacks up against dual 27-inch setups.
Read explainer ➜49-Inch 32:9 Super Ultrawide Dimensions
A 49-inch 32:9 super ultrawide is 47.2 inches (119.8 cm) wide, 13.3 inches (33.7 cm) tall, with 626 sq in (4,037 cm²) of area. A true dual-27-inch replacement.
Read explainer ➜14-Inch 16:10 Laptop Screen Dimensions
A 14-inch 16:10 laptop screen is 11.9 inches (30.2 cm) wide by 7.4 inches (18.9 cm) tall. Taller than 16:9, perfect for reading code and documents.
Read explainer ➜16-Inch 16:10 Laptop: Size & Weight
A 16-inch 16:10 laptop screen is 13.6 inches (34.5 cm) wide by 8.5 inches (21.6 cm) tall. A desktop-replacement panel with enough space to work all day.
Read explainer ➜55-Inch TV Size: Width, Height & Room
A 55-inch 16:9 TV is 47.9 inches (121.8 cm) wide, 27.0 inches (68.5 cm) tall, with 1,293 sq in (8,348 cm²). The most popular living room TV size explained.
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Monitor curvature
How 1000R, 1500R, and 1800R curves affect immersion, eye comfort, and desk depth requirements.
1000R Curved Monitor: Immersion & Drawbacks
A 1000R curve on a 34-inch ultrawide matches human peripheral vision at 1 meter. Best for immersive gaming, but straight lines look bowed in spreadsheets.
Read explainer ➜1000R 49-Inch Ultrawide: Curve & Fit
A 1000R curve on a 49-inch 32:9 super ultrawide wraps around your peripheral vision. The definitive sim-racing and flight-sim display format.
Read explainer ➜800R Curved Monitor: Too Much Immersion?
An 800R curve on a 34-inch monitor is the tightest radius available. Incredible gaming immersion, but dramatically bowed lines make productivity work difficult.
Read explainer ➜1500R Curved Monitor: Best All-Round
A 1500R curve on a 34-inch ultrawide balances immersion and straight-line accuracy. The best single curvature for mixed gaming and productivity use.
Read explainer ➜1800R Curved Monitor: Subtle for Work
An 1800R curve on a 34-inch ultrawide is barely noticeable but reduces edge color shift. The best curve radius for productivity users who want subtle immersion.
Read explainer ➜Flat 34-Inch Ultrawide: Is Flat OK?
A flat 34-inch ultrawide shows visible color shift at the edges on IPS panels. Still preferred by designers who need pixel-perfect straight lines.
Read explainer ➜Flat 27-Inch Monitor: Need a Curve?
At 27 inches 16:9, a curve is unnecessary for most users. The screen is narrow enough that IPS edge color shift is minimal. Flat remains the default.
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FPS & refresh rate
How 60, 120, 144, and 240 Hz refresh rates change motion clarity, input lag, and competitive play.
30 FPS Gaming: Frame Time & Smoothness
At 30 FPS each frame lasts 33.3 ms. Standard for console quality modes and film. Learn when 30 FPS is acceptable and when it feels choppy on PC.
Read explainer ➜60 FPS Gaming: Still the Baseline?
At 60 FPS each frame lasts 16.7 ms. The minimum for smooth mouse-driven gaming and the target for most console performance modes. Learn when 60 is enough.
Read explainer ➜120 FPS Gaming: Console Sweet Spot
At 120 FPS each frame lasts 8.3 ms. The HDMI 2.1 console target and the refresh rate where motion starts to look truly fluid. See how it compares to 60 and 144.
Read explainer ➜144 FPS 144Hz: PC Gaming Standard
At 144 FPS each frame lasts 6.9 ms. The most common high-refresh monitor spec and the competitive gaming entry point. Compare frame times across refresh rates.
Read explainer ➜240 FPS Gaming: Upgrade from 144?
At 240 FPS each frame lasts 4.2 ms. The competitive esports standard. Learn whether the jump from 144 to 240 Hz is worth the premium for your games.
Read explainer ➜360 FPS: Pro Esports or Diminishing?
At 360 FPS each frame lasts 2.8 ms. The professional esports tournament standard. Learn whether 360 Hz makes a measurable difference for your rank.
Read explainer ➜60Hz for Work: High Refresh Needed?
For coding, writing, and design work, 60 Hz is fine. High refresh rates don't improve static content. Spend on resolution and panel quality instead.
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RAID configurations
Capacity, fault tolerance, and rebuild times for RAID 0, 1, 5, 6, and 10 arrays.
RAID 0 2x2TB: Speed vs Risk Guide
RAID 0 with two 2 TB drives delivers 4 TB at roughly double speed with zero fault tolerance. One drive failure loses everything. Is the risk worth it?
Read explainer ➜RAID 1 Mirror: 2x4TB Redundancy
RAID 1 mirrors two 4 TB drives for 4 TB usable. Survives one drive failure with zero downtime. Read speeds improve but writes stay at single-drive speed.
Read explainer ➜RAID 5 4x4TB: Capacity & Rebuild Risk
RAID 5 with four 4 TB drives gives 12 TB usable and tolerates one failure. Strong read speeds, but large-drive rebuild times pose a real second-failure risk.
Read explainer ➜RAID 6 6x8TB: Double Parity Arrays
RAID 6 with six 8 TB drives gives 32 TB usable and survives two drive failures. The safest config for high-capacity NAS and long-term archival storage.
Read explainer ➜RAID 10 4x2TB: Speed & Redundancy
RAID 10 with four 2 TB drives gives 4 TB usable with excellent speed. Survives up to two failures. The performance sweet spot for home servers and VM hosts.
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Subnetting & CIDR
Host counts, subnet masks, and CIDR ranges for VPC, VLAN, and firewall design.
/24 Subnet: 256 IPs for Home Networks
A /24 subnet (255.255.255.0) gives 254 usable host addresses. The default for home routers and small offices. Learn when to use /24 and when to go larger.
Read explainer ➜/16 Subnet: 65K IPs for Large Networks
A /16 subnet (255.255.0.0) provides 65,534 usable hosts. Used by large enterprises, university campuses, and AWS VPCs. Learn the scale and use cases.
Read explainer ➜/28 Subnet: 16 IPs for Small Groups
A /28 subnet (255.255.255.240) gives 14 usable hosts. Ideal for small server clusters, DMZ segments, and cloud subnetting. Learn the exact addressing.
Read explainer ➜/22 Subnet: 1,024 IPs for Medium Nets
A /22 subnet (255.255.252.0) gives 1,022 usable hosts. The ideal size for medium offices, school networks, and cloud VPC subnets with room to grow.
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File permissions (chmod)
Permission sets for scripts, configs, secrets, and web roots with exact octal codes.
chmod 755: Directories & Scripts Explained
chmod 755 (rwxr-xr-x) gives the owner full access and everyone else read+execute. The standard for directories, scripts, and web server document roots.
Read explainer ➜chmod 644: Safe File Permissions
chmod 644 (rw-r--r--) gives the owner read+write and everyone else read-only. The standard for web files, configs, and any file that shouldn't be executable.
Read explainer ➜chmod 777: Why Full Permissions Are Risky
chmod 777 (rwxrwxrwx) gives everyone full read, write, and execute access. Almost never the right answer. Learn the risks and what to use instead.
Read explainer ➜chmod 600: SSH Keys & Secure Access
chmod 600 (rw-------) means only the owner can read and write. Required for SSH private keys and any file containing secrets. Learn why and when to use it.
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JSON formatting
Validation, minification, and pretty-printing scenarios for API payloads and config files.
JSON vs YAML: Config & API Compared
JSON is strict and fast to parse. YAML is human-readable with comments and anchors. Compare both for APIs, Kubernetes, CI/CD pipelines, and application config.
Read explainer ➜JSON Prettify: Why Formatting Matters
Minified JSON saves bytes but is unreadable and impossible to diff. Learn why pretty-printing JSON matters for debugging, code review, and version control.
Read explainer ➜JSON Schema: Validate Data Structures
JSON Schema lets you define and enforce the structure of JSON documents. Validate API requests, config files, and data pipelines with a machine-readable spec.
Read explainer ➜JSON Parse Errors: Fix Syntax Mistakes
Trailing commas, unquoted keys, and single quotes are the top JSON syntax errors. Learn the most common JSON parse failures and how to fix them instantly.
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Unix timestamps
Epoch conversions, timezone gotchas, and common timestamp formats across languages.
Unix Epoch: Why January 1 1970 Matters
The Unix epoch is 00:00:00 UTC on January 1, 1970. Timestamp 0. Learn why this date was chosen and how Unix time works across timezones and systems.
Read explainer ➜Year 2038: The 32-Bit Timestamp Problem
32-bit Unix timestamps overflow on January 19, 2038. Learn why this happens, which systems are affected, and how 64-bit timestamps solve it.
Read explainer ➜ISO 8601 vs Unix: Date Format Compared
ISO 8601 (2026-06-03T14:30:00Z) is human-readable. Unix timestamps are compact integers. Compare both formats for API design, database storage, and logging.
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Color picking
HEX, RGB, HSL conversions and palette choices for UI, branding, and accessibility work.
Hex to RGB: Web Color Converter Guide
Hex colors (#3B82F6) are RGB values in base-16. Learn how hex works, why it dominates web design, and how to convert between hex and RGB instantly.
Read explainer ➜RGB vs CMYK: Screen to Print Guide
RGB is for screens, CMYK is for print. Learn why vibrant digital designs look dull on paper and how to prep files for commercial printing.
Read explainer ➜HSL Color Model: Hue, Saturation, Lightness
HSL (Hue, Saturation, Lightness) describes colors the way humans think about them. Learn why HSL is easier to reason about than RGB or hex for design systems.
Read explainer ➜OKLCH Color Space: Modern CSS Guide
OKLCH is a perceptually uniform color space supported in all browsers. It fixes HSL's brightness problem and makes programmatic color palettes actually work.
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Contrast & accessibility
WCAG AA and AAA contrast ratios for text, UI components, and dark mode designs.
WCAG AA Contrast: 4.5:1 Ratio for Text
WCAG AA requires a 4.5:1 contrast ratio for normal text (under 18pt). Learn what this means, how to check it, and which color combinations pass or fail.
Read explainer ➜WCAG AAA Contrast: 7:1 Ratio Guide
WCAG AAA requires a 7:1 contrast ratio for normal text. Learn when to target AAA, the design trade-offs, and which color combinations achieve it.
Read explainer ➜Text Over Images: Contrast & Readability
Text over images is the web's most common contrast failure. Learn scrim overlays and gradient techniques to keep hero text readable on any photo.
Read explainer ➜Accessible Palettes: WCAG AA Design Tokens
Build a design system where every text-background pairing passes WCAG AA. Learn systematic color palette generation with accessibility built in.
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Aspect ratios
Real dimensions for 16:9, 21:9, and 32:9 panels at common diagonals, with width and height.
16:9 Monitor Ratio: The 27-Inch Standard
16:9 is the universal screen standard. At 27 inches it gives a 23.5×13.2 inch viewport. See why it still dominates monitors, TVs, and laptops in 2026.
Read explainer ➜21:9 Ultrawide: Guide for 34-Inch Displays
21:9 ultrawide at 34 inches gives a 31.4×13.4 inch viewport. Ideal for side-by-side windows, video timelines, and immersive gaming without the bulk of 32:9.
Read explainer ➜32:9 Super Ultrawide: 49-Inch Deep Dive
32:9 at 49 inches fuses two 27-inch monitors into one seamless panel. The ultimate sim-racing format with a 47.2×13.3 inch viewport.
Read explainer ➜16:10 Laptop Ratio: Taller Screens
16:10 gives 8% more vertical space than 16:9 at the same diagonal. The new laptop standard for coding and reading. See why Apple, Dell, and Lenovo all switched.
Read explainer ➜3:2 Aspect Ratio: Surface & Notebooks
3:2 is taller than 16:10, matching a 35mm film frame. Used by Surface and MateBooks for maximum vertical space when reading, writing, or coding.
Read explainer ➜4:3 Aspect Ratio: Retro & Modern Uses
4:3 was the CRT standard and is still used in some portable monitors and iPad screens. Nearly square, ideal for reading and coding. Learn why it refuses to die.
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Cron expressions
Scheduling patterns for backups, reports, and cleanup jobs with timezone and overlap gotchas.
Cron Every 5 Min: */5 Syntax
Use */5 in the minute field to run a cron job every 5 minutes. Learn the syntax, common use cases, and pitfalls for frequent scheduling.
Read explainer ➜Cron Hourly: 0 * * * * Pattern
Schedule a cron job to run at the top of every hour with 0 * * * *. Learn variations for minutes past the hour and hourly offset patterns.
Read explainer ➜Cron Midnight: 0 0 * * * Schedule
Schedule a cron job to run once per day at midnight with 0 0 * * *. Covers timezone setup and alternative daily scheduling patterns.
Read explainer ➜Cron Weekly: Day-of-Week Guide
Run cron jobs weekly with 0 0 * * 0 (Sunday) or any day of the week. Learn DOW field syntax, ranges, and multi-day patterns.
Read explainer ➜Cron Monthly: First of Month
Schedule monthly cron jobs with 0 0 1 * * (1st of month). Learn last-day tricks, specific weekdays, and other monthly patterns.
Read explainer ➜Cron vs Systemd Timers: Which Wins?
Cron is simple and universal. Systemd timers add sub-minute precision, randomized delays, and monotonic clocks. Compare both for modern Linux.
Read explainer ➜Cron Timezones: Fix Wrong Times
Cron uses the system timezone, not UTC. DST shifts can skip or double-run jobs. Learn how to make cron scheduling timezone-safe.
Read explainer ➜K8s CronJob: Syntax & Tips
K8s CronJobs use the same 5-field syntax as Linux cron plus a timezone field. Learn concurrency policies, history limits, and best practices.
Read explainer ➜AWS EventBridge: Cron vs Rate
EventBridge supports cron() and rate() expressions for scheduled events. Learn the differences, when to use each, and common pitfalls.
Read explainer ➜Cron Special: @reboot @daily Guide
Cron supports shortcut strings like @reboot, @daily, @hourly, and @annually. Learn what each means, which daemons support them, and when to use.
Read explainer ➜Debug Cron Jobs: Logging & Fixes
Cron jobs fail silently by default. Learn how to capture output, log to files, use MAILTO, and debug PATH and environment problems.
Read explainer ➜Cron vs Anacron: Laptops & Idle
Cron assumes the machine is always on. Anacron catches up missed jobs after boot. Learn which to use for laptops, desktops, and spot instances.
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Text encoding
Base64, URL, and hex encoding scenarios for APIs, tokens, and binary data transfer.
Base64 vs Hex: Binary Data Guide
Base64 has 33% overhead and uses 64 characters. Hex has 100% overhead but is byte-readable. Compare both for APIs, hashes, and data URIs.
Read explainer ➜UTF-8 vs ASCII: Text Standards
ASCII is 7-bit and limited to 128 characters. UTF-8 is backwards-compatible and encodes all of Unicode. Learn when each encoding still applies.
Read explainer ➜URL Encoding: Developer Reference
Percent-encoding replaces unsafe characters in URLs with %XX hex codes. Learn which characters need encoding and how to avoid common pitfalls.
Read explainer ➜Binary-to-Text: Base64 Base32 Base58
Base64, Base32, Base58, Base85, and hex all encode binary as text. Compare overhead, readability, and when to use each encoding for your data.
Read explainer ➜URL-Safe Base64: JWT & Tokens
Standard Base64 uses + and / which break in URLs. URL-safe Base64 swaps - and _ and drops padding. Essential for JWTs and OAuth tokens.
Read explainer ➜HTML Entities: & < > Guide
HTML entities like & and < prevent XSS attacks and rendering bugs. Learn when entity encoding is needed vs using UTF-8 directly in HTML.
Read explainer ➜Percent-Encoding: Reserved Chars
RFC 3986 defines reserved and unreserved URL characters. Learn exactly which need %XX encoding in paths, query strings, and URL fragments.
Read explainer ➜Base32 vs Base64: When Bigger Wins
Base64 is compact but case-sensitive. Base32 is larger but avoids confusable characters. Pick the right encoding for human-facing data.
Read explainer ➜Encoding Basics: UTF-8 & Unicode
Character encodings map letters and symbols to bytes. Learn how ASCII, UTF-8, UTF-16, and Latin-1 work and why UTF-8 is now universal.
Read explainer ➜Fix Mojibake: Garbled UTF-8 Repair
Mojibake happens when text is decoded with the wrong encoding. Learn how to diagnose, fix, and prevent garbled text in databases, APIs, and CSV.
Read explainer ➜How Base64 Encoding Works
Base64 splits bytes into 6-bit groups mapped to a 64-char alphabet. Learn the algorithm, padding rules, and why 3 bytes become 4 characters.
Read explainer ➜Decimal vs Hex Color: RGB Compared
CSS accepts rgb(255,0,0) decimal and #FF0000 hex color formats. Learn the difference, when to use each, and how to convert between them.
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Data read latency
Nanosecond-level latency for RAM, SSD, HDD, and network reads at real-world scales.
L1 vs L2 Cache: Speed & Latency
L1 cache is ~1 ns per access at ~64 KB per core. L2 is ~3-4 ns at ~512 KB. Learn how cache tiers work and why L1 hits dominate performance.
Read explainer ➜L3 Cache vs RAM: The Latency Cliff
L3 cache access is ~10-15 ns. RAM is ~50-80 ns. That 5x gap drives database, game engine, and HPC performance more than any other factor.
Read explainer ➜DDR4 vs DDR5: Latency & Speed
DDR5 doubles bandwidth over DDR4 but true latency in nanoseconds is nearly the same. Learn why CAS numbers mislead across generations.
Read explainer ➜NVMe vs SATA SSD: Speed Compared
NVMe SSDs use 4 PCIe lanes for ~7 GB/s throughput. SATA caps at ~550 MB/s. The 12x gap is real for large transfers, smaller for random reads.
Read explainer ➜SSD vs HDD: The 100x Latency Gap
SSDs access data in ~50-100 µs. HDDs take ~5-15 ms. The 100x random access gap is why SSDs made computers feel fast for the first time.
Read explainer ➜CPU Cache: L1 L2 L3 Hierarchy
Modern CPUs use 3 cache levels to bridge the gap between cores (picoseconds) and RAM (nanoseconds). Learn how each tier works and why it matters.
Read explainer ➜Memory Latency: L1 to HDD Numbers
L1 cache: 1 ns. RAM: 80 ns. NVMe SSD: 100 µs. HDD: 10 ms. Learn the orders of magnitude that govern computer performance at every tier.
Read explainer ➜Hot Warm Cold Storage: Tier Guide
Hot storage is NVMe SSD for active data. Warm is HDD or object storage. Cold is archival tape or deep glacier. Learn how to tier effectively.
Read explainer ➜Optane vs NAND: Why It Failed
Intel Optane offered ~10 µs latency vs NAND's ~100 µs with far better endurance. Learn why it failed and what replaced it in the storage hierarchy.
Read explainer ➜RAM Disk vs NVMe: When RAM Wins
A RAM disk is ~1,000x faster than NVMe for random access but volatile. Learn when RAM disks make sense for compile caches and scratch space.
Read explainer ➜PCIe 4.0 vs 5.0 SSD: Worth It?
PCIe 5.0 SSDs hit 14 GB/s vs 7 GB/s for PCIe 4.0. But real-world workloads rarely saturate even PCIe 4.0. Learn when the upgrade is worth it.
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Open Graph previews
How link cards render on social platforms, with tag debugging and preview scenarios.
OG Image Size: Every Platform Guide
The standard OG image is 1200x630 px (1.91:1). Learn the exact dimensions for Facebook, Twitter, LinkedIn, Discord, Slack, and WhatsApp link previews.
Read explainer ➜Twitter Cards: Summary, Image & Player
Twitter supports four card types: summary, summary_large_image, player, and app. Learn which to use, how they render, and the meta tags each one needs.
Read explainer ➜OG vs Twitter Tags: Why Both?
Facebook uses og: tags. Twitter uses twitter: tags but falls back to og: when twitter: tags are missing. Learn the fallback chain and how to avoid conflicts.
Read explainer ➜Discord Embeds: OG Tag Previews
Discord uses og: tags for link embeds and caches them aggressively. Learn how to update Discord previews, the image size limits, and how embeds work in chats.
Read explainer ➜LinkedIn OG Tags: Preview Guide
LinkedIn reads og:title, og:description, and og:image for link previews. It ignores twitter: tags. Learn LinkedIn's specific image requirements and debugger.
Read explainer ➜Slack Unfurling: OG Tags & API
Slack uses og: tags for link unfurling in channels. Learn why unfurls sometimes fail, how to use the events API, and how to customize Slack-specific previews.
Read explainer ➜WhatsApp Previews: OG Image Guide
WhatsApp shows link previews using og: tags. The image must be under 300 KB and at least 200x200 px. Learn how to optimize for WhatsApp's specific requirements.
Read explainer ➜iMessage Previews: Apple OG Tags
iMessage uses og:title, og:description, and og:image for rich link previews. Learn Apple's specific size limits, caching behavior, and how to optimize.
Read explainer ➜OG Debuggers: Test Social Previews
Test your Open Graph tags with the Facebook Sharing Debugger, Twitter Card Validator, LinkedIn Post Inspector, and Discord embed tester. Learn how each works.
Read explainer ➜JSON-LD vs OG: Structured Data
Open Graph controls social media link previews. JSON-LD structured data helps search engines understand page content. Learn why both are essential for SEO.
Read explainer ➜Generate OG Tags: Practical Guide
Step-by-step guide to adding Open Graph and Twitter Card meta tags to any website. Covers HTML, React Helmet, Next.js metadata, and WordPress SEO plugins.
Read explainer ➜OG Image Design: Social Card Tips
OG images with bold text, high contrast, and recognizable branding get more clicks. Learn design principles for social preview cards that drive traffic.
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LLM token counting
Token estimates for prompts, context windows, and model-specific limits across providers.
What Are LLM Tokens? Explained
Tokens are the text chunks that LLMs read as single units. One token is roughly 4 chars or 0.75 words. Learn how tokenization works in GPT, Claude, and Llama.
Read explainer ➜OpenAI vs Llama Tokenizer
OpenAI's o200k_base and Llama's BPE tokenizer split text differently. Learn why token counts vary across models and how it affects API costs.
Read explainer ➜LLM Token Limits: 2026 Windows
GPT-5.4 handles 256K tokens. Claude Opus 4.8 handles 500K. Gemini 3.1 Pro handles 2M. Compare context windows across all major model providers.
Read explainer ➜Reduce Token Use: Prompt Tips
Cut your LLM API costs by 30-50% with prompt optimization. Remove fluff, compress examples, use system prompts, and cache repeated content.
Read explainer ➜LLM Context Window: How It Works
The context window is the LLM's short-term memory holding all tokens in the current conversation. Learn its limits and how to manage long chats.
Read explainer ➜LLM Token Pricing: Cost per 1M
GPT-5.4 costs $2.50/$15 per million input/output tokens. Claude Opus 4.8 costs $5/$25. Compare pricing across OpenAI, Anthropic, Google, and DeepSeek.
Read explainer ➜Claude vs GPT: Token Counts
Claude counts tokens differently than GPT. A prompt using 100 tokens on GPT-5 might use 95 or 110 on Claude. Learn why and how to estimate.
Read explainer ➜Gemini Tokenization: How It Works
Gemini uses a SentencePiece tokenizer with a large multilingual vocabulary. For English text, Gemini tends to use slightly more tokens than GPT-5.
Read explainer ➜Token Efficiency: Say More, Use Less
Every token costs money. Learn which words waste tokens, how to write concisely for LLMs, and which models give the most intelligence per token.
Read explainer ➜Byte Pair Encoding: How BPE Works
Byte Pair Encoding merges the most common character pairs iteratively to build a token vocabulary. Learn why BPE dominates LLM tokenization.
Read explainer ➜Token Counter vs API: Trust Which?
Client-side tokenizers give exact pre-request counts. API responses give the ground truth. Learn when to use each and how to reconcile them.
Read explainer ➜Multilingual Tokens: Cost Gap
Chinese, Japanese, Arabic, and Hindi often use 2-5x more tokens than English. Learn which models handle multilingual text efficiently and why.
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Password generation
Entropy, length, and character set trade-offs for secure passwords and API secrets.
Password Length: How Long in 2026?
8 characters is crackable in hours. 12 is the minimum. 16+ is recommended. Learn why length matters more than complexity for brute-force resistance.
Read explainer ➜Passphrase vs Password: Stronger?
A passphrase like correct-horse-battery-staple beats Kx9$mQ2!pR on length and memorability. Learn the entropy math and why passphrases win.
Read explainer ➜Password Managers: Which & Why?
A password manager stores unique strong passwords for every account. Compare Bitwarden, 1Password, Apple Passwords, and Proton Pass in 2026.
Read explainer ➜NIST Password Rules: 2024 Guide
NIST SP 800-63B says: min 8 chars, no complexity rules, no forced rotation, check against breached passwords. Learn why the old rules were wrong.
Read explainer ➜Password Entropy: Measure Strength
Password entropy quantifies strength in bits. 28 bits is weak. 50 bits is moderate. 80+ bits is strong. Learn how to calculate it and what levels mean.
Read explainer ➜Password Cracking: 2026 Benchmarks
An RTX 5090 cracks an 8-char random password in days. A 16-char password takes centuries. See brute force times for different lengths and hash types.
Read explainer ➜2FA vs Strong Passwords: Need Both?
Two-factor auth protects against credential leaks. Strong unique passwords stop credential stuffing. Learn why both are essential and which comes first.
Read explainer ➜Password Hashing: bcrypt & Argon2
Websites should never store passwords in plain text. Learn how bcrypt, Argon2, and PBKDF2 protect your password when a database is breached.
Read explainer ➜5 Password Mistakes & Fixes
Reusing passwords, short passwords, sharing via text, storing in notes, and skipping 2FA. Fix these five mistakes in 10 minutes with a manager.
Read explainer ➜Biometrics vs Passwords: Risks
Fingerprint and Face ID are convenient but legally weaker than passwords. Police can compel biometric unlock in many jurisdictions. Know the risks.
Read explainer ➜Password Generators: Which to Trust?
Client-side generators use crypto.getRandomValues() and run locally. Server-side ones might log your password. Learn how to tell safe from unsafe.
Read explainer ➜Password Reuse: One Breach Risk
Credential stuffing takes breached passwords and tries them everywhere. If you reuse passwords, one breach compromises every account. Here's the fix.
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Persona guides
Tools framed for specific users: competitive gamers, home NAS builders, network engineers, frontend developers, and more.
PPI for Competitive Gamers: 1080p vs 1440p
Competitive gamers need frame rates over pixel density. A 24-inch 1080p monitor at 92 PPI is still the esports standard because it maximizes FPS and minimizes head movement.
Read explainer ➜RAID for Home NAS: Which Level to Pick
Home NAS builders face the RAID 5 vs RAID 6 vs RAID 10 choice. RAID 5 is fine for 4 drives, RAID 6 is safer for 6+ drives, and RAID 10 wins for performance.
Read explainer ➜Console Gaming Bandwidth: HDMI 2.1 Guide
Console gamers need HDMI 2.1 for 4K 120Hz on PS5 and Xbox Series X. Learn exactly how much bandwidth your console uses and which cables actually deliver it.
Read explainer ➜Subnetting for Network Engineers: CIDR Guide
Network engineers need fast CIDR math for VPC design, VLAN sizing, and firewall rules. A /24 gives 254 hosts, a /22 gives 1022, and a /28 gives 14.
Read explainer ➜chmod for DevOps: Permission Cheat Sheet
DevOps engineers use chmod 755 for scripts, 644 for configs, and 600 for SSH keys. Learn the exact permissions every CI/CD pipeline and Dockerfile needs.
Read explainer ➜RAM Latency for PC Builders: DDR5 Guide
PC builders need true latency in nanoseconds, not just MT/s and CL. DDR5-6000 CL30 at 10 ns is the 2026 sweet spot for AMD Ryzen and Intel alike.
Read explainer ➜Data Transfer for Photographers: Backup Times
Photographers backing up 256 GB of RAW files need to know real transfer times. USB 3.0 takes 35 minutes, Gigabit Ethernet takes 55, and WiFi 6 takes 45.
Read explainer ➜Contrast for Frontend Devs: WCAG Guide
Frontend developers need WCAG AA (4.5:1) for normal text and AAA (7:1) for accessibility-critical UI. Learn the exact ratios and how to test them.
Read explainer ➜Cron for Backend Devs: Production Guide
Backend developers use 5 cron expressions in production: every 5 minutes, hourly, daily at midnight, weekly, and monthly. Learn the exact syntax and gotchas.
Read explainer ➜Power Cost for Homelabs: Yearly Cost Guide
Homelab operators running servers 24/7 need to know the real yearly cost. A 100W NAS costs $263/year at $0.30/kWh. A 300W rack server costs $789.
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