DEV Community: keyboardTester.Click

Model a burst weapon as a timeline, not HP divided by DPS

keyboardTester.Click — Mon, 28 Sep 2026 12:58:24 +0000

Originally published on KeyboardTester.click. I maintain the site. This adaptation was prepared with AI assistance and its example arithmetic and code were independently checked.

Illustrative photo: Matheus Bertelli / Pexels; not a gameplay measurement.

The interesting edge case in a time-to-kill calculator is often the shot that never deals damage. A miss still advances the firing pattern and consumes ammunition. Dividing health by average damage per second loses both of those events.

Here is a small JavaScript exercise with two invented weapons and a 100-HP target. A deals 34 damage, fires three-round bursts at 900 RPM within each burst, and waits 300 ms from the last round of one burst to the first of the next. B deals 26 damage at a continuous 600 RPM. There is no armor, shield or falloff.

First, write down the event contract

The first fired round is time zero. A burst gap replaces the normal shot interval at that boundary. An empty-magazine reload also replaces the boundary interval, resets the burst and ends at the next fired round. A killing shot ends the timeline immediately. These are this exercise’s rules, not universal game-engine rules.

The state needed is small: elapsed time, rounds used in the current burst, rounds used in the magazine, and remaining HP. Keep miss events in the input; do not filter them before counting rounds.

// Standalone teaching implementation for integer damage and fixed burst/reload gaps.
// A timeline of chosen events, not live weapon stats or a probability model.
function shotTimeline(gun, hits, hp = 100) {
  const { damage, rpm, burstSize = 0, burstGap = 0,
    magazine = 0, reload = 0, limbMultiplier = 0.5 } = gun;
  if (![damage, rpm, hp].every(n => Number.isFinite(n) && n > 0) ||
      !Number.isInteger(damage) || !Number.isInteger(hp) ||
      ![burstSize, magazine].every(n => Number.isSafeInteger(n) && n >= 0) ||
      ![burstGap, reload, limbMultiplier].every(n => Number.isFinite(n) && n >= 0) ||
      (burstSize === 1) || (magazine > 0 && reload <= 0) ||
      !Number.isSafeInteger(damage * limbMultiplier)) {
    throw new Error('Use valid timing and integer damage/HP inputs for this exercise');
  }
  if (!Array.isArray(hits) || hits.length < 1 || hits.length > 200 ||
      !hits.every(x => ['body', 'limb', 'miss'].includes(x))) {
    throw new Error('Provide 1–200 body, limb or miss events');
  }
  const rows = [];
  let time = 0, burstUsed = 0, magazineUsed = 0;
  for (let i = 0; i < hits.length; i++) {
    if (i > 0) {
      if (magazine > 0 && magazineUsed === magazine) {
        time += reload; // replaces the ordinary/burst gap
        magazineUsed = 0;
        burstUsed = 0;
      } else if (burstSize > 0 && burstUsed === burstSize) {
        time += burstGap;
        burstUsed = 0;
      } else {
        time += 60000 / rpm;
      }
    }
    const zone = hits[i];
    const dealt = zone === 'miss' ? 0 : damage * (zone === 'limb' ? limbMultiplier : 1);
    hp = Math.max(0, hp - dealt);
    burstUsed++;
    magazineUsed++;
    rows.push({ shot: i + 1, zone, time, dealt, hp });
    if (hp === 0) break; // never append a reload after a kill
  }
  return { killed: hp === 0, time, remainingHP: hp, rows };
}

This deliberately restricts damage and HP to integers, including the derived limb damage. It is not an exact-decimal engine for arbitrary imported weapon statistics. Timing remains a JavaScript Number; round only when displaying it, not after each interval.

A regression fixture with an actual winner reversal

const A = { damage: 34, rpm: 900, burstSize: 3, burstGap: 300 };
const B = { damage: 26, rpm: 600 };
console.log(shotTimeline(A, ['body','body','body']).time); // 133.333...
console.log(shotTimeline(B, ['body','body','body','body']).time); // 300
console.log(shotTimeline(A, ['body','miss','body','body']).time); // 433.333...
console.log(shotTimeline(B, ['body','miss','body','body','body']).time); // 400

All four sequences land their first shot. In the miss cases, the second fired shot misses. A’s next damage opportunity is across a burst boundary; B merely waits another ordinary interval. This is one explicit scenario, not an expected result at a shared accuracy percentage.

Two more fixtures are useful. body, body, limb, body at A’s 0.5 limb multiplier ends at 433.333… ms because the first three impacts deal only 85 damage. A three-round magazine with a 1,000 ms reload moves body, miss, body, body to 1,133.333… ms. A four-round magazine leaves it at 433.333… ms. The difference is 700 ms because reload replaces the 300 ms burst gap.

Keep model results separate from gameplay measurements

The supplied teaching implementation passed 30 assertions covering eight lethal fixtures, the 15-HP partial sequence and invalid-input cases. It does not model aim, travel time, recoil, networking, regeneration or a probability distribution of hits. A polished interface cannot create evidence for those missing variables.

You can reproduce the worked scenarios in the browser calculator or read the full burst-boundary explanation. Its separate mixed-sequence output is the appropriate place for misses; its four-region comparison table assumes all hits land in one region.

Migrating a Gaming Keypad: A Reproducible Input-Validation Checklist

keyboardTester.Click — Tue, 22 Sep 2026 16:33:30 +0000

Changing a gaming keypad is an input migration. A profile may contain the same action names while the physical controls, output mode and combinations you can hold comfortably all change.

The recent Razer Tartarus V2 Pro is a useful example. The original Tartarus Pro uses an eight-way directional pad; the V2 Pro introduces a TMR analog thumbstick and a different nearby-button arrangement. That creates a concrete test problem: can the new configuration preserve the actions your game actually needs?

This is an adapted technical companion to our Tartarus V2 Pro versus Tartarus Pro comparison on KeyboardTester.click. We maintain KBT. The method below is useful independently of that buying guide and can also be applied to other remappable input devices.

1. Define the behavior before mapping controls

Start with a small acceptance matrix. Write actions and combinations, then decide which physical control should produce each one.

Action	Required combination	Acceptance condition
Movement	Diagonal movement plus mouse aim	Both remain active without an unexpected input-mode switch
Jump	Jump while continuing movement	No movement release needed to reach the jump control
Modifier	Modifier plus the usual ability keys	Every required combination reaches the game
Sprint or crouch	Direction change while held or toggled	The action starts and stops in the intended mode
Weapon cycle or zoom	Both directions and any separate wheel press	Each old function has a reachable replacement

Keep the conditions specific. “The keys work” does not tell you whether you can hold movement, a modifier and an ability together.

Record the device model, firmware/software version, operating system, browser, game and mapping mode. Change one setting between attempts. Otherwise a different actuation setting or game configuration can make the comparison difficult to interpret.

2. Separate the three observation layers

Original KBT illustration. It explains different control mechanisms; it is not a product photograph or an exact device layout.

There are three different questions:

Physical control: can you reach and operate the intended controls together?
Delivered input: which keyboard events or controller values does the application receive?
Game behavior: does the game interpret those inputs as the intended actions?

A pass at one layer does not establish a pass at the next. A browser may receive W and Space correctly while a game uses a different profile. A gamepad axis may appear in a browser while a particular game handles controller movement plus mouse aiming poorly.

3. Validate simple digital mappings first

For a keyboard-mode check, map a few controls to ordinary letters. Focus a keyboard-event display, press each control, hold it briefly, and release it. Then repeat with the combinations from the matrix.

Use the observable result as the criterion: the expected press reaches the page, and the displayed held state clears after release. If a combination fails, isolate it into individual controls before assuming a hardware fault. Mapping rules, focus, operating-system shortcuts and browser shortcuts can also affect what reaches the page.

For developers inspecting events, KeyboardEvent.code and key answer different questions. code represents the reported physical-key position; key reflects the interpreted value. With a remapped peripheral, neither is a measurement of which physical keypad switch your finger moved. Capture the configured mapping alongside the event results.

Also distinguish repeated keydown events from separate physical presses. An application that counts every repeat as a new press can make a held control look like repeated activation. Focus changes deserve a separate check because an application may miss releases after it loses focus.

Our keyboard event display is one convenient way to inspect delivered digital input. It cannot certify actuation depth, raw USB report rate or end-to-end hardware latency.

4. Test analog mode as a separate configuration

If the thumbstick is configured to emit W/A/S/D, the application receives digital directions. That does not become a continuous analog signal simply because the physical control is a stick.

For controller-style output, first establish that the configured device is exposed to the application. The browser's Gamepad API can expose axes and buttons when supported. Browser permissions, user interaction and the device's selected mode can affect availability; absence in one browser alone is not evidence of a defective stick.

When axes are available, observe small movement, full travel, diagonals and return to center. Record the mapping rather than assuming that a particular axis index is always the intended control. These observations describe the values the browser receives; they do not certify the sensor's calibration or the game's deadzone behavior.

5. Finish the acceptance test inside the game

Repeat the matrix with mouse aiming active. Include slow movement, diagonal movement, full stick travel, jumping, menus, and the most demanding modifier combination.

Watch for input prompts switching unexpectedly, movement dropping during mouse motion, or a control that works alone but becomes hard to reach in a combination. Save the working configuration and repeat it after any software/profile change relevant to that setup.

The Tartarus example also illustrates why feature lists need checking before a migration. As checked on September 22, 2026, Razer's original Tartarus Pro page already advertises Rapid Trigger. It is not exclusive to the new model. Razer lists a wider adjustable actuation range for the V2 Pro, but a smaller setting is not evidence that the complete input scheme performs better for its user.

The useful result is a completed acceptance matrix: all essential actions remain mapped, simultaneous actions are reachable, and the intended game accepts the selected input modes together. An unresolved row identifies what to investigate before committing to the new setup.

Research and disclosure: prepared with AI assistance and reviewed against the source article and linked manufacturer/browser documentation. We have not handled or benchmarked either Tartarus device for this comparison. Manufacturer claims are attributed specifications; the checking method is editorial guidance.

Test a new keyboard with a browser event checklist

keyboardTester.Click — Sat, 19 Sep 2026 09:42:32 +0000

Originally published on KeyboardTester.click. Adapted by the KeyboardTester.click team from its source-based buying guide; no hands-on 80HE+ test is claimed.

Illustrative stock photo, not the Wooting 80HE+ or a test unit. RDNE Stock project / Pexels.

A keyboard's advertised USB polling frequency and the key events visible to a web page are different observations. A receiving web app needs a repeatable acceptance check, not a polling claim inferred from repeated letters.

The Wooting 80HE+ buying guide prompted this protocol for anyone changing a keyboard or remapping its thumb keys. It applies to other keyboards too. No 80HE+ unit was tested for this note.

Define a small observation sheet

Record the board, firmware/profile, operating system, browser, layout and connection. For each step, note the intended physical action, the event received, and whether the key returns to its released state. Keep the same environment when comparing profiles.

MDN's KeyboardEvent reference distinguishes press/release events. Its code documentation also matters: a physical key-position identifier is not the character expected under every keyboard layout. Record the label and mapping instead of assuming that one identifies the other.

Run three controlled checks

Single presses: focus the test surface, press an ordinary letter once and release it fully. Repeat across the keys you use. Log a missing press or a state that fails to clear; do not infer a failed switch from one event.
Held keys: hold a letter, then release it. Auto-repeat can produce additional events. The repeat property identifies automatic repetition in supporting browsers; repeat intervals are not direct samples of USB reports.
Real combinations: test the combinations used by your application. Record exactly which chord fails and reproduce it with the page focused. OS/browser shortcuts can prevent some inputs reaching your app.

An on-screen registration check is a convenient first observation. For a suspected combination issue, test the actual chord separately. Change one profile setting at a time before rerunning the same steps.

Report the scope of the result

“This chord registered and released in this browser/profile” is a supportable result. It does not certify all chords, hardware scan rate, actuation distance, raw USB polling or game latency. Confirm a game-specific symptom in that game.

The original guide explains the hardware choices and their limits. This checklist describes a method; it contains no fabricated measurements or latency ranking.

I Built a Free WASD Trainer: Five Arcade Movement Games With Per-Key Stats (No Download)

keyboardTester.Click — Fri, 18 Sep 2026 05:18:15 +0000

If you came to PC gaming from a controller, or you just switched keyboards, WASD feels wrong for a while. Your ring finger hunts for A, you overshoot corners, and the only place to practise is inside a match where every mistake costs a round.

I run KeyboardTester.click, a collection of free browser hardware tests. Last summer I added a small Pac-Man-style movement game to it. Over the past four weeks it has been the most-clicked page on the whole site from US Google searches, so I rebuilt it into five games, gave it honest key statistics, and wrote this post to explain what it does, how each game scores, and what its numbers can and cannot tell you.

👉 Play it here (free, no download, no account): WASD Trainer on KeyboardTester.click

What it is

One page, five games, one control scheme. You move with W A S D or the arrow keys. The trainer reads physical key positions (KeyboardEvent.code, not the printed letter), so on an AZERTY keyboard the same physical keys, Z Q S D, work without changing anything. Every game has four difficulty levels (Beginner, Intermediate, Expert, Advanced) and three speeds (Slow, Normal, Fast). P pauses, Esc returns to the menu, and there is a fullscreen button in the corner of the arena. On a phone or tablet you get an on-screen directional pad.

Nothing is uploaded. Personal bests and recent runs live in your browser's local storage, so there is no account and no public leaderboard.

The five games and how they score

1. Maze Chase (Classic or Dodge only)

The original game. Eat dots, avoid the ghosts, grab a power pellet to make ghosts edible for six seconds, and clear the level.

10 points per dot, 50 per power pellet, 200 per blue ghost eaten, 100 for clearing a level.
Optional pickups: cherries 100, bananas 150, mangoes 250, balloons 300. A pickup disappears after ten active seconds, so skip it when the escape route is poor.
Dodge only removes the dot objective and keeps the pursuit. It is the mode I use when I only want to practise routing and second exits.
Two directions together move diagonally.

Your rank in Maze Chase comes from survival time, not score: Beginner, Amateur, Skilled, Expert, Master, with the steps at 15, 30, 60 and 120 seconds. A higher score does not automatically mean a higher rank.

2. Snake

Turn the moving snake with WASD or the arrows. Each food adds 100 points and one segment; a wall or your own tail ends the run. An immediate 180-degree reversal is not allowed, so you turn through another direction instead. Snake is the game that punishes mashing: tapping faster does nothing for you, planning the turn before the edge does.

3. Coin Sprint

A 60-second route challenge inside a fixed maze. 25 points per coin, and every five coins advances the level counter. Paused time does not use the limit. The goal is points inside the window, not survival, so it trains short clean routes and releasing a key before you overshoot.

4. Meteor Dodge

Free four-direction movement while meteors fall. Surviving adds 10 points per second, an optional star adds 100, and a collision ends the run. Your best is survival time. Watch the space around the player instead of chasing every star, and leave yourself an escape lane.

5. Direction Memory

Watch an arrow sequence, then repeat it with separate presses. Round one is one direction, round two is two, and each round adds another. A correct round earns 100 multiplied by the round number; a wrong direction or a ten-second input timeout ends the attempt. Group the sequence into small phrases instead of rushing the first press. Holding a key is not the same as pressing it again, which is exactly the habit this game exposes.

The key stats panel

When a run ends the trainer shows Key stats from this run. Here is what each line means and how I read it.

Stat	What it measures	How to read it
Avg presses/sec, Peak presses/sec	Key-down events per second, average and peak	More is not better. Snake and Coin Sprint reward fewer, cleaner presses.
Avg key hold	How long a direction stays held	Long holds in Direction Memory mean you are holding instead of tapping.
OS key repeat rate	The auto-repeat frequency your operating system delivered while a key was held	This is an OS setting, not a keyboard property, and it is not a polling rate.
Two-key overlap	How often two directions were down together	Diagonals in Maze Chase and Meteor Dodge; usually accidental in Snake.
Direction changes	Number of direction changes in the run	Only compare within the same game, difficulty and speed.
Per-key usage	Presses per key for W, A, S, D and any arrows you used	A direction you avoid shows up as a low or zero count.

A missed move does not by itself mean the keyboard is at fault. If one key feels unreliable, press it on the interactive keyboard tester and watch whether it registers. If a particular combination fails, try it in the keyboard ghosting test, which checks whether several keys register together.

A five-minute rotation

This is the routine I actually use, about one minute per game:

Maze Chase: look for a second exit before entering a corridor.
Snake: plan corners before you reach the edge.
Coin Sprint: trace the shortest route to the next coin, release before you overshoot.
Meteor Dodge: keep an escape lane and make small corrections.
Direction Memory: enter clean sequences with separate presses.

Restart short attempts inside the minute, pause between games, and stop if your hands feel uncomfortable. Pick one thing to notice, such as fewer missed turns, rather than chasing every statistic. Keep the same difficulty and speed for repeat attempts so a faster setting does not disguise a change in your routing.

What it does not measure

I would rather say this plainly than let the numbers imply it:

It does not measure electrical switch latency or key travel.
It does not establish or guarantee a hardware polling rate. The OS key repeat rate is a different thing.
It does not prove that a better Meteor Dodge time transfers to CS2, Valorant or Apex. It trains the hand movement in isolation, which is the point, but the transfer claim is yours to test.

If you want those separate numbers, the site has them as separate tools: a keyboard CPS test for raw presses per second, a keyboard polling rate test for browser-observed event frequency, a reaction time test for response to a signal, and an APM test for actions per minute. Each answers a different question, and none of them is a Snake score.

How it is built (for the curious)

Vanilla JavaScript on a <canvas>, no framework, no build step. Each game is a small module created through one factory with the chosen difficulty and speed.
Input uses KeyboardEvent.code, so W/A/S/D and the arrows map to physical positions and AZERTY users get Z/Q/S/D for free.
Input is armed only after you click the game once. Until then the arrow keys scroll the page like normal, so the tool never hijacks scrolling on a page you are just reading.
Personal bests are keyed by game, difficulty and speed (plus Classic/Dodge for Maze Chase) in localStorage. Recent runs are grouped by game.
The fullscreen button is capability-gated: if the Fullscreen API is missing (iOS Safari), the button does not render. Esc inside fullscreen exits fullscreen and pauses instead of ending the run.
The same partial renders in ten languages, so the localized editions share one engine and one set of rules.

Quick FAQ

Can I use arrow keys or an AZERTY keyboard? Yes. Arrow keys are supported, and WASD reads physical key positions, which corresponds to ZQSD on AZERTY.

What determines my personal best? Maze Chase and Meteor Dodge compare survival time; Snake, Coin Sprint and Direction Memory compare score. Bests are separated by game, difficulty and speed.

Are my results saved online? No. Bests and recent runs are saved in your browser's local storage. Another browser, a private window or cleared storage shows different records.

Can I play on a phone? Yes, with the on-screen directional pad. P pauses keyboard play, and paused time does not advance the game's active clock.

👉 Play: WASD Trainer on KeyboardTester.click (free, no download, results stay in your browser). If a score or a stat looks wrong for your setup, tell me in the comments; the rules above are the rules the code uses, and I fix the code when they disagree.

Mouse Acceleration in Windows 11: Check the Setting, Then Test the Input Path

keyboardTester.Click — Wed, 16 Sep 2026 17:27:27 +0000

Adapted from the KeyboardTester.click mouse-acceleration guide, originally published May 1, 2026 and updated September 16, 2026.

A mouse can feel different on the Windows desktop, inside a browser test, and in a game. That does not automatically mean the sensor is faulty. Those environments can read and transform movement through different input paths.

The useful question is therefore two-part: which setting is enabled, and which movement path are you actually testing? Here is a practical way to keep those questions separate.

1. Inspect the Windows setting directly

In Windows 11, open Settings → Bluetooth & devices → Mouse and look for Enhance pointer precision. Microsoft's current mouse-settings instructions show that control on the Mouse page.

If your Windows version does not expose the direct toggle:

Open Additional mouse settings.
Choose Pointer Options.
Clear Enhance pointer precision, then select Apply and OK.

You can also press Win + R, enter main.cpl, and open Pointer Options there. Reopen the setting afterward to confirm its state.

With pointer acceleration, the speed of a physical movement can affect how far the desktop pointer travels. Disabling Enhance pointer precision removes that Windows pointer adjustment. It does not set your hardware DPI, repair a sensor, or guarantee that every game responds differently.

There is no universal requirement to turn it off. Acceleration can be useful for moving across a large desktop while preserving small, careful movements. Choose the desktop behavior that suits the task, and investigate a game's camera movement separately.

2. Keep raw input separate from desktop pointer movement

Microsoft's RAWMOUSE documentation explains that raw mouse input is not subject to the mouse-speed setting in Control Panel's Mouse Properties sheet. A game using that path can behave differently from the ordinary desktop cursor, while still applying its own sensitivity or other processing.

A browser test also needs an appropriate input mode before it can claim to use raw movement. Pointer lock with unadjustedMovement is one relevant browser API, with compatibility considerations. Receiving ordinary pointer events is not the same thing.

The KBT mouse-acceleration comparison records ordinary pointer positions during a button-held drag. It does not use that raw-input mode, read the Windows checkbox, or measure the physical distance your hand traveled.

That makes it a comparison of movement delivered to the browser, with practical limits—not a sensor certification.

3. Make the slow and fast passes comparable

Use a physical mouse and keep the same surface, DPI, Windows pointer speed, browser zoom, and display scaling throughout the comparison. A touchpad is not a substitute: its processing can differ.

Mark a short, straight distance on the mousepad with a ruler or removable markers. Leave enough cursor space to avoid the screen edge.
Position the mouse at the physical start marker and the cursor inside the test pad.
Hold the mouse button, move slowly to the end marker, then release. The tool records a drag, not a button-free swipe.
With the button released, return both the mouse and cursor to their starting positions. Lift and reposition the mouse if needed; do not record the return movement.
Hold, drag faster over the same physical distance, and release. If the pass is so short that the tool treats it as an accidental tap, repeat it.
Record the two distances and ratio. Select Reset after each completed pair and collect at least three pairs.

Three pairs are a practical consistency check, not a laboratory standard. If the numbers fluctuate widely, improve the distance control and avoid screen edges before interpreting them. To compare Enhance pointer precision on versus off, change only that setting and repeat the same procedure.

4. Understand what the ratio measures

The displayed ratio is:

fast recorded pixel distance / slow recorded pixel distance

The engine adds movement segments from browser pointer positions. In simplified terms, each segment has a length like:

Math.hypot(currentX - previousX, currentY - previousY)

Those coordinates come from pointer events in the page; they are not a ruler reading from the mousepad. Curving or shaking the mouse can change the recorded path length even when two movements end at the same position. Event sampling and screen boundaries can affect the comparison too.

Repeated observation	Useful interpretation	What it does not prove
Ratios near 1	The browser recorded similar distances in these passes.	That the sensor is perfect or acceleration is off in every game.
Ratios above 1	The faster pass recorded more movement; recheck the Windows setting and equal physical travel.	Which software layer caused the difference.
Ratios below 1 or inconsistent results	Recheck travel distance, path shape, screen edges, and sampling.	That the mouse necessarily has deceleration or a hardware fault.

The tool's labels, including “perfect” and “acceleration detected,” summarize its ratio thresholds. Treat the measurements as clues and confirm the relevant OS or application setting.

5. Test the symptom you actually have

Movement scaling, event rate, and latency are different questions:

The mouse event-rate test observes events delivered to the browser. Its reading is not a raw USB polling-rate certification.
The browser input-timing check compares event timestamps with handler time. It does not measure complete physical mouse-to-screen latency.
The mouse-button and scrolling check is more relevant when clicks or wheel actions are missing.

For a game, keep DPI and in-game sensitivity fixed and use the same practice scene. Check the current options and documentation for that game version. A desktop setting can change menus or the Windows cursor without changing camera rotation; no fixed aim improvement follows from one checkbox.

If Enhance pointer precision appears to turn itself back on, first confirm that the setting actually changed. Then recheck after the specific event you suspect, such as signing in or launching a mouse utility. A recurring registry script can hide the trigger rather than identify it.

The full Windows 11 guide includes troubleshooting, related diagnostic tools, and Mac/Linux notes. Start with the setting, control one variable at a time, and interpret each result within the input path it measures.

LG UltraGear 25G590B: Is the First 1000Hz Monitor Worth $999?

keyboardTester.Click — Fri, 11 Sep 2026 15:15:06 +0000

Adapted from the KeyboardTester.click LG UltraGear 25G590B guide, published September 10, 2026. This is a source-based analysis: we have not measured, photographed, or gamed on a 25G590B unit. Manufacturer pages were rechecked September 11. The cover uses official LG product imagery; its on-screen game content is simulated by LG.

LG calls the 25G590B the world's first native 1000Hz Full HD gaming monitor. At its $999.99 US price, the buying question is whether that speed matters more to you than resolution, contrast, and screen size. LG's launch announcement establishes the launch price and the manufacturer's first-of-kind claim.

My assessment: this is specialist hardware for competitive players with very high, stable frame rates. For mixed gaming and desktop use, compare OLED and dual-mode alternatives before paying for the highest refresh-rate number.

A 1 ms frame period does not establish measured pixel performance

The arithmetic is straightforward: 1000 / 1000 Hz = 1 ms per refresh. LG's UK specification table also lists a 1 ms response time.

Those matching numbers deserve attention, but a manufacturer response rating is not a measurement of every transition or the panel's worst case. We cannot infer exact ghosting, overshoot, or refresh compliance from that number alone.

Blur Busters explains the distinction: GtG describes a pixel changing between colors; MPRT concerns how long that pixel remains visible. Different color transitions can take different times, and the quoted GtG figure can represent only part of the transition. Reducing one number does not automatically eliminate all visible blur.

For this monitor, the practical question is how quickly real transitions settle at your chosen overdrive and refresh settings. Look for measured response distributions, overshoot, and pursuit-camera results, rather than treating the 1 ms specification as either proof of perfection or proof that 1000Hz is ineffective. The original guide links TFTCentral's hands-on video for independent testing.

MBR Pro and VRR are separate choices on this model

LG's UK product-page footnote says: "AMD FreeSync™ Premium and NVIDIA G-SYNC® Compatible, are disabled when MBR Pro is enabled."

That is a model-specific restriction worth deciding around. Compare MBR Pro's motion appearance against ordinary VRR operation in the games you actually play. With MBR Pro enabled, do not expect FreeSync or G-SYNC to smooth variable frame delivery.

LG also says the 1100Hz overclock does not support FreeSync Premium, while G-SYNC compatibility is certified at 1000Hz. Its US product footnotes document those limits.

Check the PC and the price, not just the panel

LG lists Windows 11, DisplayPort 2.1, and an RTX 50-series or Radeon RX 9070/9060/7900-series GPU or newer for the maximum refresh mode. That supported connection does not guarantee a matching in-game frame rate.

Use your game's frame-time graph and actual matches to establish average performance and lows. Our PC bottleneck calculator is an estimate to help investigate a CPU/GPU pairing; it cannot certify that a particular game will sustain 1000 fps.

These were the LG US product-page price fields checked September 11, 2026:

Monitor	Main trade-off	Listed USD price
25G590B-B	24.5-inch FHD IPS, native 1000Hz	$999.99
27GX790A-B	27-inch QHD OLED, 480Hz	$649.99
27G850A-B	27-inch dual-mode: 4K/240Hz or FHD/480Hz	$899.99

These are dated page listings, not checkout quotes or confirmation of stock. LG's structured offers marked all three out of stock when checked; verify the seller, local availability, final price, and return policy. The original article preserves its earlier historical price snapshots.

Five delivery-day checks, with the browser's limits in mind

Refresh rate test: configure the desired rate in Windows, then compare the browser's observed frame delivery.
Frame skipping test: photograph the pattern using the guide's camera method and look for repeated gaps.
Monitor ghosting test: compare overdrive levels for trails and inverse-ghosting halos.
FPS test: inspect browser frame pacing under a clean workload.
Dead pixel sweep: inspect full-screen colors while the return window is open.

Browser callbacks pass through the OS, compositor, GPU driver, and browser. A low result alone cannot prove that a correctly configured 1000Hz panel is defective. These tools help investigate configuration and visible behavior; they do not certify panel scan-out, response time, input lag, or LG's laboratory ratings.

Buying verdict: consider the 25G590B if competitive motion performance is your priority and you can test its modes in your own setup. For mixed use, the extra resolution and image-quality benefits of the alternatives deserve equal weight.

The full KeyboardTester.click guide contains the broader specification table, buyer checklist, sources, and FAQ.

I Built a PC Bottleneck Calculator That Shows Its Math (and Auto-Detects Your GPU)

keyboardTester.Click — Sun, 06 Sep 2026 07:16:21 +0000

Every bottleneck calculator I have ever used handed me a confident number and no way to check it. Type in a Ryzen 5 5600 and an RTX 4070 SUPER, get "CPU bottleneck: 23.4%", done. No resolution, no game type, no formula, no data, no error bar. Change nothing and reload, and some of them give you a different decimal.

I run KeyboardTester.click, a collection of free browser hardware tests, and this week I shipped the calculator I wanted to exist: one that prints its formula, cites its data, shows a ±15% range, and changes its verdict when you change the workload, because the honest answer depends on what you run.

👉 Try it here: PC Bottleneck Calculator. No signup, nothing uploaded, runs entirely in your browser. The full guide, worked examples and FAQ live on that page; this DEV.to version keeps the model, the detection tricks and the build notes.

What it does in one screen

125 CPUs and 131 GPUs (database version 2026-09-06): desktop and laptop CPUs from 2011 onward, GeForce / Radeon / Arc, laptop GPUs and integrated graphics, each with socket and VRAM.
Pre-fills your GPU from the WebGL renderer string the browser already exposes.
Six workload profiles: esports, competitive shooters, AAA without ray tracing, AAA with ray tracing / path tracing, simulation & strategy, and creator work (which compares multi-thread throughput instead of FPS).
Four resolutions (1080p, 1440p, ultrawide, 4K), an FPS target, RAM size and DDR type, game drive, and a "I stream with x264 on the same PC" toggle.
Output: the limiting side, the gap in percent, an estimated average FPS range, per-component notes, the same pair at every resolution, an upgrade path that lists same-socket chips first, and a method box with the formula, the calibration sources and the database version.
Copy result / copy share link: the state is encoded as ?cpu=&gpu=&res=&use=&ram=&target=, so a forum answer can link to the exact scenario.

The whole model, in the open

Each part carries relative indices, not benchmark numbers:

CPU: a 1080p gaming index (Ryzen 7 9800X3D = 100) and a multi-thread index (Ryzen 9 9950X = 100).
GPU: a 1440p rasterization index (RTX 4090 = 100), a ray-tracing multiplier (0 = no hardware RT), and VRAM.

A workload profile turns those indices into a CPU-bound frame rate and a GPU-bound frame rate. The resolution scales only the GPU side, because shading more pixels costs the graphics card, not the processor. Then:

bottleneck % = (faster side − slower side) ÷ faster side

Guardrails apply as multipliers: a VRAM shortfall for the chosen resolution costs 25%, 8 GB of system RAM costs 20%, RAM below the profile's comfortable amount costs 10%, and software (x264) streaming takes roughly a quarter of CPU time. Ray-traced profiles multiply the GPU side by the card's RT factor; a card with no RT hardware gets a "no hardware ray tracing" verdict instead of a fake number.

The indices are calibrated against independent review aggregates (TechPowerUp relative-performance charts, the Tom's Hardware CPU and GPU hierarchies, Hardware Unboxed and Gamers Nexus averages) and manufacturer specs. They assume stock clocks and a clean Windows install, and the page says ±15% under every result. That is the honest precision of this kind of estimate, and hiding it does not make it better.

Why the thresholds are asymmetric

Result	CPU limiting	GPU limiting	What to do
Balanced	under 10%	under 15%	Nothing. Spend on the monitor, storage or settings.
Mild	10–25%	15–35%	Noticeable in some titles, rarely worth money. Adjust settings first.
Significant	above 25%	above 35%	One part is idle a quarter of the time or more. A single targeted upgrade shows a real gain.

A GPU at 99% is the normal, healthy state of a gaming PC. You can trade resolution, upscaling or settings for frames at any time. A CPU bottleneck is the expensive one: lowering graphics settings does nothing for it, and it shows up as uneven frame times rather than a low average. So the calculator is deliberately more relaxed about GPU-bound results.

Four results, straight from the calculator

All four are the tool's own estimates (±15%), quoted with the profile and resolution that produced them:

Ryzen 5 5600 + RTX 4070 SUPER, AAA at 1080p: about 112 FPS, CPU-limited by 12% (mild). The same pair at 1440p flips to GPU-limited by 16% at around 95 FPS. Raising the resolution costs almost nothing and uses the idle card.
Core i5-12400 + Radeon RX 7800 XT, AAA at 1440p: about 81 FPS, GPU-limited by 34%. The processor has headroom for a future GPU.
Ryzen 7 9800X3D + RTX 5080, ray tracing at native 4K: about 42 FPS, GPU-limited by 76%. The best gaming CPU cannot help here; DLSS upscaling can.
Ryzen 7 5800X3D + RTX 4060, esports at 1080p: about 250 FPS, GPU-limited by 46%. A 240 Hz monitor is fed, a 360 Hz one is not.

Change one input and the verdict moves. That sensitivity is the point: a fixed "this CPU bottlenecks this GPU by 23%" with no resolution and no game type attached is not describing your PC.

The auto-detect problem (and the hybrid-laptop trap)

A web page can read surprisingly little about the machine it runs on:

WEBGL_debug_renderer_info usually gives a GPU name good enough to match ("NVIDIA GeForce RTX 4070 SUPER" or an ANGLE string that contains it).
navigator.hardwareConcurrency gives logical threads, which the tool offers as a CPU filter ("show CPUs with 12 threads"). It cannot tell a 5600 from a 7600.
navigator.deviceMemory is coarse and capped, so RAM is only "at least N GB".

Because of that, the page has an optional "Detect my exact CPU, RAM and GPU" section with two paths that both stay on your device:

One command per OS. The Windows line uses Get-CimInstance for Win32_Processor, Win32_VideoController and Win32_PhysicalMemory; macOS uses system_profiler; Linux uses lscpu and lspci. The command reads three values and reopens the page with ?cpuname=&gpuname=&ram=. Nothing else is read or sent.
Paste a system report. Windows "About" copy, dxdiag "Save All Information", msinfo32, macOS System Report, or raw lscpu / lspci / meminfo text, parsed locally with a matcher that folds F/KF suffixes, resolves Ti/SUPER/Laptop variants and prefers a discrete card over an iGPU.

That second path exists because of a real test machine. On a hybrid gaming laptop the browser runs on the integrated GPU by default, so WebGL reported a Radeon 740M while the actual RTX 4050 Laptop sat idle. Only the OS command found the discrete card. If a bottleneck tool "auto-detected" your laptop and got the iGPU, this is why.

Which side limits a PC you already own

You do not need a calculator for a machine that is in front of you. An overlay (MSI Afterburner, Xbox Game Bar, or the Task Manager Performance tab) tells you in a minute:

What you see	CPU bottleneck	GPU bottleneck
GPU usage	well below 90%, often 50–80%	97–100% almost always
CPU usage	one or two threads pinned near 100%	moderate, no single core saturated
Lower the resolution	FPS barely changes	FPS rises clearly
Lower shadows / textures / RT	little or no gain	clear gain
Frame-time graph	spiky, stutter in crowded scenes	smooth but low

The calculator is for the cases you cannot measure yet: a part you are about to buy, a build you are planning, or a used PC you are judging from a spec sheet.

Where it can be wrong

The model cannot see your drivers, background software, thermal throttling, memory channels and XMP/EXPO state, a specific engine's quirks, or an overclock. Laptop parts can land ±20% from the shown range depending on the power limit of the specific model. Those are exactly the things a live measurement on your own machine does see, which is why every result links to the browser FPS test, the GPU stress test and the CPU stress test. Use the estimate to shortlist. Use a measurement to buy.

Build notes, for the devs here

The database is a script. A Python builder holds the CPU and GPU tables, the workload profiles and the resolution factors, and emits one versioned JSON file (about 42 KB, ~10 KB gzipped) that the page fetches once. Editing an index means editing a table, re-running and redeploying. I plan to refresh it monthly as parts launch.
Everything is client-side vanilla JS. No account, no server round-trip, no analytics on what hardware you picked. Share links carry the whole state in the query string.
No per-pair permalink pages, on purpose. The incumbents in this niche run tens of thousands of "CPU X bottleneck GPU Y" pages. That is their SEO engine, and it is exactly the kind of scaled, templated content search engines have been demoting. One page, one honest model.
No prices. They change weekly; the upgrade list names two or three candidates and tells you to compare street prices yourself.
Ten languages from one shared page definition, with native copy rather than machine-translated strings.

Quick FAQ

What bottleneck percentage is acceptable? Under 10% is balanced. 10–25% is noticeable but rarely worth money. Above 25% the slower part is clearly capping frame delivery. GPU-limited results use the looser 15% and 35% bands.

Is a CPU or a GPU bottleneck worse? CPU. A GPU-bound system can always trade settings for frames; a CPU-bound one cannot, and it stutters instead of just running slower.

Can this replace a benchmark? No. It is a planning estimate from relative indices. Verify on the real machine before spending money.

Why is my result different from other calculators? Most hide their formula and data, and some pad results with categories they never compute. This one prints the indices, the profile, the resolution factor and the confidence range, and it changes the verdict when you change the workload.

👉 Run the PC Bottleneck Calculator and tell me in the comments where the indices look wrong for your hardware; the database is versioned and I do correct it.

Related free browser tests on the same site: FPS test · GPU stress test · CPU stress test · RAM latency calculator · Refresh rate test

What My First $2.18 AdX MCM Day Actually Proved

keyboardTester.Click — Sun, 30 Aug 2026 16:43:08 +0000

Originally published on KeyboardTester.click. This is an adapted, privacy-safe update from a living publisher diary—not an endorsement, a sponsored review, or a revenue promise.

The first near-full serving day of my Google AdX MCM test produced four numbers that look simple until the payment path is separated:

Google Ad Manager reported revenue before MCM:  $1.75
Estimated child share after the 20% allocation: $1.40
Direct AdSense estimated earnings:              $0.78
Estimated combined owner revenue:               $2.18

That is not $1.75 + $0.78. The $1.75 is the Google Ad Manager figure before the $0.35 MCM auto-payment allocation. Adding the gross GAM number to AdSense would overstate what belongs to the publisher.

It is also not proof that Google AdX beat AdSense. The figures were read at about 9:46 p.m. Pakistan time on August 29, after the wrapper had run for nearly the whole calendar day. They were same-day estimates, not settled earnings, and the two systems served separate inventory rather than a like-for-like A/B split.

The corrected discovery sequence

A local monetization representative contacted me first, on Friday, August 28. I later asked ChatGPT for publisher-monetization options, and it surfaced LKZ as a research lead. ChatGPT did not introduce us, vet the company, certify its performance, or make a revenue guarantee.

The August 30 correction matters because my earlier timeline incorrectly showed an August 26 initial contact and still described the support group as pending. The same local representative actually:

made first contact on August 28;
supplied the GPT/Zenith wrapper and LKZ Prebid scripts or wrappers installed for the test; and
created the support group that day.

The group exists, but response time, technical ownership, local-language support, and escalation quality remain under evaluation.

Authorization, implementation, and serving are different states

The verified relationship is Google Ad Manager Manage Account with RevBros–LKZ. The child Ad Exchange account was enabled, the auto-payment allocation was visible, and the requested seller authorization was added beside the existing AdSense line in ads.txt.

That was only the authorization layer. On August 28, I then approved and installed the supplied Google Publisher Tag/Zenith wrapper and LKZ Prebid code. I did not remove the existing AdSense loader or manual units. At the representative's request, only AdSense Auto ads' In-page Banner and Multiplex formats were disabled; the Auto ads master, Intent-driven and Overlay formats, and existing manual AdSense remained active.

The implementation therefore became a hybrid test, not a clean “AdSense off, AdX on” migration.

Google's documentation is useful here: GPT defines Ad Manager slots and sends ad requests, while ads.txt authorizes sellers. Neither one, by itself, guarantees fill or higher net revenue.

What the scoped CSP repair established—and what it did not

Initial browser testing found additional Google ad resources blocked by the site's Content Security Policy. The requested Google wildcard domains and an observed Google partner-pixel origin were allowed.

Post-fix browser testing reached the configured Google Ad Manager network and created wrapper slots while the existing AdSense implementation remained present. It showed no CSP violations; one non-blocking deprecated-GPT warning remained in the vendor wrapper.

No visible filled wrapper creative appeared in that sampled session. The repair therefore established a cleaner request path, not auction fill, net page RPM, income lift, or vendor causality.

What Day 1 did show

The directional dashboard context favored GAM efficiency, with important limits:

Metric	GAM	AdSense
Impressions	2,150	1,859
Dashboard yield metric	$0.82 eCPM	$0.42 impression RPM
Viewability	64.7%	54.75%
Unfilled opportunities	About 1,190	Not reported in this comparison

After the 20% allocation, the GAM yield works out to roughly $0.656 on the same gross-denominator basis. A simple served-versus-unfilled proxy puts GAM fill at about 64.4%, leaving 35.6% unfilled. Those are useful diagnostic signals, not a final business verdict.

The recent verified AdSense high was $2.36 on August 26, so the $2.18 hybrid owner estimate was still $0.18 below that reference point. Turning off AdSense without replacement would also have removed the observed $0.78, or 35.8% of the combined estimate.

My decision was to keep GAM and AdSense running together without a mid-day change. One near-full day is encouraging evidence for GAM efficiency, but it is not evidence that GAM-only would earn more after inventory, fill, pricing, viewability, partner allocation, and traffic mix all change.

The measurement rule that survives the excitement

The primary decision metric is net page RPM after every share and fee, controlled with independent sessions and pageviews and segmented by country, device, and top-page mix. Partial launch and rollback dates stay out of complete-day comparisons. Fill, viewability, ad density, latency, policy status, and reader complaints remain part of the decision.

Day 7 is a technical-health gate. Day 14 is directional. Day 30 is the first serious performance decision. Earlier rows—including corrections and weak results—stay visible.

The complete live MCM diary contains the full append-only timeline, source list, company-claim checks, contract questions, and future Day 7/14/30 updates.

Further product references: Google's MCM overview, Manage Account mechanics, and AdSense versus Ad Manager.

Phone Screen Flicker: A Practical Test-Before-You-Buy Workflow

keyboardTester.Click — Wed, 26 Aug 2026 11:33:44 +0000

Choosing a phone when display flicker bothers you is not as simple as finding the largest PWM frequency in a specification table. Frequency is only one part of the waveform. Modulation depth, duty cycle, brightness, firmware, the exact panel tested, and the viewer's response also matter.

That makes a return window and a repeatable comparison more useful than a universal ranking.

1. Start with the exact display strategy

Build a shortlist from three broad approaches:

an LCD unit with no perceivable modulation in a named review;
an OLED phone with a documented display-control option;
an OLED phone whose independent test reports higher-frequency or DC-like behavior at some brightness levels.

None of those labels guarantees comfort. An LCD can still pulse or dither, and an OLED control may change the waveform without removing periodic output.

2. Record the test conditions

Turn off automatic brightness temporarily and record the exact brightness percentage, display mode, refresh-rate option, firmware version, room lighting, camera frame rate, exposure, distance, and angle. If those variables change between phones, the comparison becomes difficult to interpret.

3. Compare normal and lower brightness

Begin at the brightness you normally use. Repeat the same reading, scrolling, and video tasks briefly at a lower brightness because OLED dimming behavior can change as brightness falls. There is no universal percentage that works as a clinical threshold.

Stop if discomfort occurs. Do not deliberately extend exposure to prove a point.

4. Treat camera bands as a clue

A phone camera's rolling shutter may reveal bands or pulsing. It cannot calculate the panel's exact PWM frequency or modulation from the number of bands, and it cannot diagnose sensitivity. Use the same camera and settings for both phones and treat the result as a comparison only.

The free PWM Flicker Test can keep the browser reference consistent while you compare two devices. It does not turn the browser into laboratory equipment.

5. Protect the return deadline

Save the seller's exact return date, packaging requirements, activation restrictions, and restocking terms before buying. Try only brief normal use, keep notes, and return or exchange a phone that does not suit you within the deadline.

The full 2026 phone PWM buyer guide includes current US availability, model-specific measurements, documented display controls, source notes, and the limits of every comparison.

Razer Naga V3 Pro: Is the $180 MMO Mouse Worth It?

keyboardTester.Click — Thu, 20 Aug 2026 13:33:18 +0000

This is an adapted version of the source-based buyer analysis on KeyboardTester.click: Razer Naga V3 Pro: Is the $180 MMO Mouse Worth It?. KeyboardTester.click did not receive or hands-on test the mouse; specifications are manufacturer statements and hands-on observations are attributed to independent reviewers.

The Razer Naga V3 Pro is not trying to be another ultralight FPS mouse. Its reason to exist is simpler: put an action bar under your thumb.

At $179.99 in Razer's US store on August 20, 2026, that convenience is expensive enough to demand a specific use case. The right question is not whether 50,000 DPI sounds impressive. It is whether the control system replaces keyboard reaches you actually make.

What the price buys

Razer supplies three interchangeable side plates:

a 12-button grid for MMOs and command-heavy work;
a 6-button layout for MOBAs, battle royales, or mixed play;
a 2-button layout for simpler games and everyday use.

Depending on how the fitted plate, wheel, and body inputs are counted, Razer advertises up to 23 programmable controls. The V3 Pro also adds revised plate geometry, a lockable ring-finger input, Gen-4 optical main switches, the Focus Pro 50K Gen-3 sensor, and a HyperScroll Tilt Wheel Gen-2 with tactile, free-spin, and Smart-Reel behavior.

The practical upgrade test for a Naga V2 Pro owner is to write down the commands that are still awkward to reach. If the new plate edges, ring-finger control, or 6-button layout gives those commands an obvious home, there is a measurable benefit. If the list is empty and the old mouse is reliable, a higher sensor ceiling is not a reason to replace it.

The weight number needs context

Launch coverage lists 97 g without a side plate. The mouse is not used as intended without a plate. PC Gamer reported roughly 112–117 g with one installed, and its hands-on review found the familiar Naga dimensions comfortable for a larger hand.

That weight may help stabilize repeated thumb inputs, but it remains far from an ultralight. Shape and mass cannot be settled from a specification table, so the seller's return window matters.

Native 1,000 Hz; optional 8K costs extra

The Naga V3 Pro runs at a native 1,000 Hz. Razer advertises up to 8,000 Hz only with a compatible HyperPolling Wireless Dongle V2 or Mouse Dock Pro sold separately.

PC Gamer's reviewer did not consider the accessory cost and battery hit worthwhile for this mouse. That is a sensible default for an MMO-focused buyer. Do not add a dongle to the budget unless you have a tested reason to need 8K polling.

Razer also claims up to 155 hours on HyperSpeed Wireless and 280 hours on Bluetooth. Those are manufacturer ceilings; lighting, polling, radio conditions, and actual use can shorten runtime.

Who should buy it?

Consider it if:

you can name at least six actions that belong under your thumb;
you rotate between games that benefit from different plates;
a larger right-handed shell already fits your grip;
three connection modes reduce device switching for you.

Skip or wait if:

you mainly play FPS games with a few binds;
you prefer sub-80 g mice or use a left-handed grip;
50K DPI or optional 8K polling is the only attraction;
$180 is stretch money and your current mouse works.

Five checks for delivery day

Start on the factory profile. Test the hardware, install Synapse, build one small profile, and repeat.

Every button and wheel direction: fit all three plates and use the Mouse Tester. Look for missing, stuck, duplicated, or wrongly mapped events.
Unintended double clicks: run deliberate single presses in the Double-Click Test.
Pointer-event consistency: compare smooth-motion runs in the Mouse Polling Rate Test across wired and HyperSpeed modes.
DPI and profiles: use the Mouse DPI Tester to confirm that known stages change cursor distance predictably.
Before-and-after baseline: record the same browser input check before and after firmware, Synapse, polling, or wireless changes.

A browser can expose functional defects and comparative regressions. It cannot certify raw USB polling, 50K DPI accuracy, hardware click latency, battery life, or a 100-million-click switch rating.

The full article includes four official regional price checks, the V2-to-V3 decision table, six FAQs, reviewer evidence, and exact test limitations: read the complete Razer Naga V3 Pro buyer guide.

AdSense to Journey: My First 12 Revenue Dates

keyboardTester.Click — Mon, 17 Aug 2026 15:42:44 +0000

This is an adapted snapshot of my living case study on KeyboardTester.click: I switched from AdSense to Journey—here are the real earnings so far. The source page will receive the 21-, 30-, 60-, and 90-day updates.

I made the final production switch from Google AdSense to Journey by Mediavine on August 3, 2026.

The first result was not the easy revenue win that publisher testimonials can make an ad-network migration sound like.

At my August 16 snapshot, 13 calendar days had elapsed—day 14 when launch day is counted—and Journey had finalized 12 revenue dates through August 14. The August 3 launch date may be partial because I have not reconciled the exact cutover time with Journey's reporting-day boundary.

Here is the comparison I can actually defend:

Reporting system	Evidence window	Gross revenue shown	Simple average
GA4-linked AdSense revenue	July 27–August 2, 7 full days	$8.11	About $1.16 per full day
Journey ad server	August 3–14, 12 finalized dates	$1.76	About $0.15 per reported date

That makes the early Journey average roughly 87% lower. It is a directional comparison, not a controlled experiment: the windows have different lengths, the launch date may be partial, and traffic mix can change.

It would be equally misleading to compare only the raw totals, to call this a mature Journey RPM, or to claim that every publisher will see the same result.

Traffic was the control, not the explanation

When revenue falls after a migration, "traffic must have fallen" is an easy story. Independent GA4 data did not support it.

The last clean AdSense week recorded:

8,273 sessions, about 1,182 per day;
10,789 pageviews, about 1,541 per day.

The 12 complete post-cutover days from August 4 through August 15 recorded:

14,793 sessions, about 1,233 per day;
22,053 pageviews, about 1,838 per day.

Daily sessions were therefore about 4% higher and pageviews about 19% higher in the post-cutover control. Weekday mix, geography, devices, search demand, and top-page mix prevent a causal claim, but the data is enough to reject a traffic collapse as the simple explanation for the revenue gap.

This is why I keep analytics separate from the ad dashboard. The same evidence discipline helped when I investigated a suspicious traffic burst in GA4, Cloudflare, and origin logs: one screen is a signal, not the entire diagnosis.

Why I am not publishing a Journey RPM

Journey's ad server showed revenue, but its portal still showed zero imported sessions and pageviews in the traffic fields used for RPM.

Those zeros do not mean the site had no visitors; GA4 independently recorded 14,793 sessions. They do not mean Journey earned nothing; the ad server recorded $1.76.

They mean the denominator is missing from Journey's reporting path.

I could divide one system's revenue by another system's sessions and produce a number. I did not, because reporting timezones and metric definitions may not match. A provisional RPM would look more precise than the evidence allows.

A normal delay is one thing. Persistent zero imported traffic after this many finalized revenue dates is an unresolved reporting or integration issue, so I am documenting it and escalating it rather than hiding it inside an invented calculation.

The implementation lesson was bigger than the homepage

KeyboardTester.click is a custom PHP site with ten blog languages and hundreds of legacy localized bridge routes. The homepage and an English article both looked correct after launch.

An inventory audit later found a duplicate Journey wrapper on hundreds of bridge routes.

We removed the duplicate and rechecked the route family until each audited route exposed exactly one wrapper. We also verified the public ads.txt response, cache state, sitewide script, and connected GA4 property.

That changed my migration checklist:

Inventory every renderer before changing the ad stack: home, article, category, locale wrapper, embed, legacy bridge, and special layout.
Remove the previous programmatic network in line with the active onboarding instructions.
Confirm exactly one new wrapper on representative pages and unusual routes.
Verify the public root ads.txt response instead of assuming the file or redirect works.
Clear only the affected application, server, and CDN caches, then inspect the public response again.
Keep a tested recovery path. My shared-hosting failover case study explains the same reversible-change principle at the infrastructure layer.

"The tag appears on the homepage" is not a complete launch test on a templated site.

The latest dates improved—but the sample is still tiny

The first three reported Journey dates produced about $0.11 in total. The latest three finalized dates in this snapshot produced about $0.97.

That movement is encouraging. It is not enough to declare a successful migration, a stable RPM, or predictable monthly income.

The responsible response is to hold the setup steady long enough to measure it, while continuing to investigate the missing traffic import. Swapping networks every few days would destroy the comparison.

What I would do before switching today

Export a real baseline

Save clean 7-, 14-, and 30-day ranges for gross revenue, sessions, pageviews, geography, device mix, and top content. Record the timezone and last complete date in each system. Do this before changing code, not after a disappointing result.

Budget for both revenue and payment delay

Journey documents a Net 65 payment schedule. Reporting can also lag. A publisher needs enough cash buffer for a weak ramp and the payment timetable—not merely enough traffic to qualify.

Define review gates before emotions take over

My gates are 21, 30, 60, and 90 full post-launch days. I will also update earlier if Journey's missing session, pageview, and RPM import is repaired.

Write down what triggers support escalation, what justifies waiting, and what sustained gap would make you reassess. One unusually good or bad day should not write the policy.

Protect the evidence

I shared aggregate revenue, sessions, pageviews, dates, and tightly cropped proof on the original article. I did not publish account or property IDs, names, emails, payment details, page-level revenue, AdSense clicks, CTR, CPC, or ad-unit data.

Transparency does not require exposing a monetization account.

Would I recommend the switch?

Not as a universal yes or no.

If you have a clean baseline, cash buffer, complete route inventory, and a reporting setup you can independently verify, a time-boxed test can be reasonable.

If traffic imports remain blank, old scripts or duplicate wrappers remain, or cash flow cannot tolerate a ramp and Net 65, resolve those risks before treating anyone else's testimonial as your forecast.

My position at this snapshot is simple: Journey has not yet beaten AdSense on this site. Traffic held, the latest revenue dates improved, and the reporting problem remains real. All three facts belong in the same conclusion.

The source article contains the privacy-safe evidence crops, full comparison tables, official documentation, FAQs, and the dated update log. Bookmark it if you want the result after the first 12 dates rather than only the launch-day story:

AdSense to Journey by Mediavine: My Real Earnings

Wallhack K-001: Is the $279 Hall Effect 65% Worth It?

keyboardTester.Click — Sat, 15 Aug 2026 16:01:56 +0000

Disclosure: This is a condensed, source-based buyer analysis, not a hands-on review. I did not type on, benchmark, or receive the K-001; no independent reviews existed when this was written. The full evidence table, source-discrepancy notes, and links are in the original guide: Wallhack K-001: Is the $279 Hall Effect 65% Worth It?.

(Cover photo: a generic compact keyboard for illustration — not the K-001.)

Wallhack — until now a mousepad company — is releasing its first keyboard on August 21, 2026, sold only through wallhack.com, with early access via the company's Discord. The K-001 is a $279, 65% Hall Effect board — Wallhack announced it at $360, then cut the official price to $279 by August 15, ahead of the drop — and you cannot read a single independent review before deciding.

That combination — first product, one storefront, no reviews, premium price — is the actual buying decision. The specs are secondary.

The fast answer

Only a specific buyer should preorder: someone who wants a CNC-aluminum 65% with on-board dial tuning and accepts first-product risk. If you mainly want Rapid Trigger and adjustable actuation, those features already ship for $79–159 less.

What is confirmed (wallhack.com, checked Aug 13–15, 2026)

$279 (announced at $360; official page cut it by August 15, 2026), 65% layout, CNC-machined 6063 aluminum case, 1,030 g without the riser
KS-TR magnetic Hall Effect linear switches co-developed with Gateron — stock Medium spring 48–63 gf; Light (28–38 gf) and Heavy (61–76 gf) sold separately
An on-board dial with a claimed 0.01 mm actuation-resolution adjustment
Web-based configurator ("Terminal") — no installed software required
Claimed 8,000 Hz polling, 64,000/128,000 Hz scan rate, 0.129 ms input delay

Those last three numbers are manufacturer claims. Nobody outside Wallhack has verified them yet, and early press coverage disagreed with the current official page on several figures (scan rate, weight, dial resolution) — the original guide resolves each discrepancy against wallhack.com.

The price wall (checked Aug 13–15, 2026)

Board	Price	Notes
Razer Huntsman V3 HE Mini 65%	$119.99	Same 65% size, Hall Effect, shipping now
Wooting 80HE	$199.99	The enthusiast HE benchmark, orderable now
Wallhack K-001	$279 (was $360 at announcement)	Preorder; notify-me signup only, no reviews

The K-001's premium buys materials (CNC aluminum, 1+ kg mass) plus unverified claims. It does not buy a capability the cheaper boards lack — unless the 0.01 mm dial claim survives independent testing.

Preorder or wait?

Wait if you are feature-shopping: Rapid Trigger, adjustable actuation, and 8K polling all exist at $119.99–$199.99.
Preorder only if the aluminum build and dial workflow are the point, you can afford a miss, and you commit to testing within the return window.

If you do buy: five browser tests on delivery day

Run these free checks before the return window closes (each links to the tool in the original guide):

Key-by-key registration — press every key once in a keyboard tester and confirm each registers exactly once.
Polling-behavior sample — the keyboard polling rate test samples repeat timing and jitter (it cannot certify raw 8K USB polling, and says so).
Input-delay baseline — record a first-day number with the latency checker so later "it feels slower" complaints have a reference.
Spacebar stress — hammer for double inputs with the spacebar test.
Sound baseline — record key acoustics with the keyboard sound test before any switch swap.

A browser can catch a defective unit. It cannot certify 8,000 Hz polling, the 0.129 ms delay claim, the 64k/128k Hz scan rate, or actuation distance — those need dedicated hardware.

Full guide with sources, regional availability (US/UK/CA/AU), FAQ, and the evidence table: Wallhack K-001: Is the $279 Hall Effect 65% Worth It?