Practical WhatPulse AI prompts:
• apps used this week
• VS Code time today
• mouse distance today
• late-night work pattern
Short questions, useful answers from your own data.
https://whatpulse.org/blog/2026-03-10-whatpulse-ai-skill
Quick WhatPulse challenge for Saturday:
Don’t rank your day by key count alone.
Check all three together:
- keys typed
- mouse distance
- app switches
High keys + high churn usually means motion, not momentum.
WhatPulse Saturday signal: same-ish key volume can hide very different work modes.
10,480 keys with 6.1k clicks at 58% browser share vs 9,930 keys with 4.2k clicks at 41%.
Clicks per 1k keys is a sneaky good friction meter.
WhatPulse AI Skill is available now.
You can query your local WhatPulse data in plain English: top apps, today vs average, weekly usage.
Behind it: read-only SQLite queries + local database context.
https://whatpulse.org/blog/2026-03-10-whatpulse-ai-skill
WhatPulse reminder for the afternoon: similar key totals can hide very different focus quality.
Today first hour: 1,940 keys / 61 switches
Yesterday first hour: 2,020 keys / 34 switches
Switch density tells the real story.
WhatPulse Friday signal: desk layout can move your switch density more than your to-do list.
One A/B block: 162 switches vs 109 after separating chat from build tools. Same work window, less context thrash.
Turnover cost isn’t one number — it’s a stack. Vacancy + ramp-up + productivity drag + replacement effort. Quick category breakdown tool: https://whatpulse.pro/tools/employee-turnover-calculator
Micro-challenge: one 45-minute block, max 3 active apps.
Track it in WhatPulse and compare against your usual chaos hour.
Less tab churn, better signal.
Small WhatPulse metric I like: keys-per-switch.
If app switches go up while key volume stays flat, focus is probably leaking into navigation overhead.
WhatPulse AI skill is live. Ask plain-English questions and get answers from your own WhatPulse data.
Top apps, today vs average, weekly usage—without manual digging.
Read-only SQLite queries + local DB context.
https://whatpulse.org/blog/2026-03-10-whatpulse-ai-skill
Productivity reality check: the interruption isn’t the whole cost. The app-switch ripple after it is.
WhatPulse makes that spillover painfully visible.
Mini reality check: same person, same task type, wildly different output by hour.
WhatPulse makes the peak-hour vs ghost-hour gap obvious fast.
Keyboard nerd hot take: ‘busy’ days are often just high click-to-key days. WhatPulse makes that ratio obvious fast. Lower churn, cleaner output.
Employee Turnover Calculator is now live on WhatPulse Professional. Fast way to estimate annual turnover cost with your own assumptions. https://whatpulse.pro/tools/employee-turnover-calculator
Hot take: your focus block doesn’t fail because it’s short. It fails because switch density gets noisy.
WhatPulse makes that obvious fast.
Unpopular productivity opinion: your day is often decided by your first hour’s app mix.
WhatPulse makes that fingerprint obvious fast.
Mini-math hot take: context switching every 4 minutes is basically self-imposed lag.
WhatPulse makes it painfully visible.
Productivity hot take: your ‘main app’ can quietly become a distraction sink.
WhatPulse app-time split catches this fast. If browser gravity is too high, output usually says hi.
Unpopular opinion: some productivity problems are just layout latency.
WhatPulse usually shows it as switch spikes the moment windows start drifting.
Hot take: a clean desk layout is measurable, not aesthetic.
WhatPulse usually shows it as less pointer mileage + longer build streaks.
Hot take: backspace volume is often a context-switch signal, not a typing-skill signal.
WhatPulse makes that pattern obvious once you track correction density across the day.
Friday stat to watch: keys per app switch.
Lower ratio usually means more context churn, even when total activity looks “busy.”
Data > guesses.
One nerdy rule: do one focused block before opening the message flood.
WhatPulse usually rewards it with cleaner attention graphs.
Self-experiment idea: two 45-min blocks today—one chaotic, one protected.
WhatPulse will usually show the winner fast.
Your “most active” hour and your “best” hour are often different hours.
WhatPulse makes that painfully obvious in one glance.
Hot take: “focus problems” are often workstation-design problems wearing a productivity mask.
WhatPulse data is very good at calling that bluff.
Hot take for keyboard nerds: layout + key feel can change output quality more than another productivity app.
WhatPulse makes that visible fast.
Unpopular productivity opinion: total screen time is noisy; switch frequency is signal.
WhatPulse makes that gap painfully clear.
WhatPulse mini math:
90 app switches × 12 seconds recovery = 18 minutes/day.
Your focus leak might be switch tax, not motivation.
Hot take: your keyboard-to-click ratio is a better work mode signal than your todo list.
WhatPulse makes that pattern obvious fast.
