Miru combines daily habit tracking, weighted tasks and machine learning to reveal which behaviours actually drive your most productive days. Built natively for Mac and iPhone.
Miru (見る) is a Japanese word that means "to see." Not in the way you glance at a notification or scroll past a chart. In Japanese it carries a deeper sense. It means to observe. To perceive. To look at something carefully enough that you begin to understand it.
Most habit trackers count your streaks. They give you a number, a checkmark, maybe a confetti animation. But real change isn't about counting. It's about understanding.
You don't fail at habits because you forgot to check a box. You fail because you didn't notice the pattern underneath. You didn't see that you always skip your morning run the day after a late night. You didn't observe that your motivation dips every third week.
These patterns are already there, hidden in the rhythm of your daily life. You just haven't had a way to see them. Miru sees them.
Everything you need to build better habits
Four core systems that work together to give you a complete picture of your day.
Daily habit tracking
Track daily habits organised by morning, afternoon and evening. Choose from presets across fitness, health, mind and work or build your own. Tap to complete and rate the friction.
Weighted task system
A productivity-focused to-do list where you assign 1 to 100 points per task based on difficulty. Track daily accomplishments alongside your habits in one unified point system.
ML-powered insights
Miru's Machine Learning Engine turn your daily data into a personal behavioural science engine. See what actually drives your productivity score.
Accountability partners
Pair up with one partner per habit using a simple 8-character code. Share progress on specific habits. No feeds or likes. Just mutual visibility.
Miru Premium
Your habit data, decoded by machine learning
After 10+ days of logging, Miru's ML engine unlocks insights you'd never catch on your own.
Smart productivity analysis
Miru's Machine Learning Engine
Using Miru’s Machine Learning Engine, your habits are translated into simple daily signals and analyzed alongside your task points and productivity rating. Miru then reveals which behaviors are helping, which may be hurting, and how strong the overall pattern is.
Habit chain discovery
Conditional probability: P(B|A) / P(B|¬A)
"You're 3x more likely to meditate on days you journal." Miru computes co-occurrence multipliers across all habit pairs, deduplicates the weaker direction and surfaces the top 10 chains.
Smart scheduling analysis
Completion-hour histogram analysis
Every completion is timestamped. Miru builds an hour-frequency histogram per habit, finds your peak completion window and flags misalignments between your declared schedule and real behaviour.
Friction and automaticity tracking
Rolling difficulty trend + automaticity detection
After each completion you rate it easy, moderate or hard. Miru averages friction over time. When your last 7 completions are all "Easy," the habit is flagged as automatic. See which behaviours are truly becoming second nature.
Failure pattern detection
Day-of-week frequency + tagged reason clustering
When a streak breaks Miru detects it automatically (requiring 2+ days of prior consistency) and asks what happened: travel, sick, busy, forgot, low energy or lost motivation. Over time it maps your obstacles by day and reason.
Energy-adaptive recommendations
Combined energy + mood scoring (1-10)
Miru’s Machine Learning Engine takes your daily energy and mood into account. On low-energy days, it recommends gentler habits to keep momentum alive. On high-energy days, it nudges you toward the habits most associated with your most productive days.
How to start tracking habits with Miru
01
Set up your daily habits
Choose from presets across fitness, health, mind and work or create custom habits with your own icon, colour and point value. Assign each habit to morning, afternoon, evening or any time.
Free
02
Track and rate daily
Tap to complete habits and add weighted tasks throughout the day. After each habit Miru asks "How did that feel?" and you rate the friction: easy, moderate or hard. At the end of the day log your productivity score (1-10), energy and mood.
Free
03
Machine learning builds your model
After 10 days of data, Miru’s Machine Learning Engine comes to life. It studies your completed habits, links them to your productivity ratings, and begins revealing the patterns behind your best days. A progress bar lets you see exactly how close you are to unlocking your insights.
Premium
04
Actionable insights surface
See exactly which habits boost or drain your productivity, which ones trigger each other, where your schedule is misaligned and which streaks are at risk. The model improves with every day you log.
Premium
The science of effective habit tracking
Research shows that self-monitoring is one of the most effective techniques for behaviour change. A meta-analysis of 138 studies covering over 19,000 participants found that people who systematically track their habits are significantly more likely to achieve their goals than those who rely on memory or motivation alone.
Most people believe it takes 21 days to form a habit. The actual research tells a different story: a study from University College London found that it takes an average of 66 days, with a range of 18 to 254 days depending on the complexity of the behaviour. Simple habits like drinking water become automatic quickly. Complex habits like daily exercise can take months.
This is why Miru tracks friction, not just completion. When you rate each habit as easy, moderate or hard, you're measuring something most trackers ignore: how automatic the behaviour has become. Seven consecutive "easy" ratings signal that a habit has crossed the threshold from deliberate effort to genuine routine.
Habit stacking, the practice of anchoring new habits to existing ones, is another evidence-based technique. Miru's habit chain discovery takes this further by using your own data to find which habits naturally co-occur in your life, revealing connections you might never notice on your own.
Your data never leaves your device. All ML analysis runs locally on your Mac.
Simple pricing for your habit tracker
Start free. Upgrade when you're ready to see what's underneath.
Free
€0 / forever
No credit card required
Unlimited daily habits with time-of-day scheduling
Preset library (fitness, health, mind and work)
Weighted task system (1-100 points)
Friction scoring after each completion
Streak tracking with automatic break detection
Daily energy and mood logging
Accountability partner pairing
Energy-adaptive daily recommendations
Premium
€3.99 / month
Cancel anytime. Renews monthly.
Everything in Free
Personalized productivity insights from Miru’s ML Engine
Hidden connections between your daily habits
Smart scheduling vs. actual behaviour analysis
Friction trend and automaticity detection
Failure pattern breakdowns by day and reason
Model quality dashboard
Frequently asked questions
Do habit trackers actually work?
Yes. A meta-analysis of 138 studies covering over 19,000 participants found that self-monitoring significantly increases goal attainment. The key is tracking consistently and reviewing your data. Miru goes further by using machine learning to surface patterns you'd miss on your own.
What makes Miru different from other habit trackers?
Most habit trackers stop at streaks and checkmarks. Miru uses its machine learning engine to model which habits statistically predict your best productivity days and conditional probability to discover hidden chains between habits. It shows the math, not just the result.
Is Miru free to use?
Yes. The free tier includes unlimited habits, tasks, friction scoring, streak tracking, energy-based recommendations and accountability partners. Premium (€3.99/month) unlocks the ML-powered insights: productivity analysis, habit chains, smart scheduling and failure patterns.
How does machine learning work in a habit tracker?
Once you’ve logged 10 days of data, Miru’s Machine Learning Engine comes to life. It studies your completed habits, links them to your productivity scores, and reveals hidden patterns between your behaviors. Your data stays private, because all analysis runs directly on your device.
How long does it take to build a habit?
Research from University College London found it takes an average of 66 days, with a range of 18 to 254 days depending on the habit's complexity. Miru's friction scoring helps you track this progression: when seven consecutive completions are rated "easy," the habit has likely become automatic.
How many habits should I track at once?
Most experts recommend starting with 3 to 5 habits. Tracking too many at once spreads your willpower thin. Miru's Machine Learning Engine helps you identify which habits have the biggest positive impact so you can focus your energy where it matters most.
Can I track habits on my Mac without using my phone?
Yes. Miru is built natively for macOS. If you spend your workday at a Mac, you can track habits, complete tasks and log your daily scores without ever picking up your phone.
Is my habit data private?
Yes. All data stays on your device. Miru does not send your habit data to any server. The machine learning analysis runs locally using on-device computation. No account required.
"Before you can shape your days you have to see them clearly. Once you truly see your patterns, changing them becomes the easy part."
The philosophy behind Miru
見
Ready to see your patterns?
Download Miru and start building habits backed by data.