Vol. 01 · A logbook for everything

The journal
that files itself.

Type what happened, talk it out, or snap a photo. The AI sorts each entry into the right type — meal, expense, mood, workout, person, or anything you make up. Your life, archived as it happens.
“
9:41•••• ≋ ▮
Tue · 05 May 26
Daily logbook
S
Quick log
Manage
Note
Meal
Expense
Tasks
Mood
Habit
Today
5 entries
8:14am
Meal
Scrambled eggsToastBlack coffee
≈ 380 kcal·breakfast
9:02am
Expense
Starbucks
Food & drink
$4.50
11:30am
Mood
7
good
productive morning, clear head
5:48pm
Workout
run·30 min·3 mi
6:30pm
Person
S
Sarah
thinking about her next move
Today’s logbook
eleven kinds of entries, one timeline
How it works

Most apps make you
fill in forms before
you’ve even remembered
what happened.

The other apps in this category — the diet trackers, the expense apps, the habit checkers, the journals — all share one assumption: you, the human, will categorize your life before it’s even logged. Pick the category, fill in the fields, hit save. Forty seconds. Six taps.

In Log Anything, you tap a type and just type — or tap the mic and say it, or snap a photo when words won’t do. “coffee at Starbucks 4.50”. The AI parses out the merchant, the amount, the category. The card materializes already structured — searchable, summable, trendable. The work the form was making you do, gone.

You type
“30 min run, 3 mi easy pace, felt strong”
AI
It saves
Workout7:30 AM
run·30 min·3 mi
Eleven types, out of the box

Many ways the day
already organizes itself.

A meal is not an idea. An idea is not an expense. Each type has its own card layout, color, and parser tuned for the shape of that thing — so a weight in kilograms looks nothing like a thought in italics, and a person comes with a face.
Hover any type to see what an entry looks like
01“
Note
“new café near work is good — ask Sarah for the name”
The new café near the office is good — ask Sarah for the name next time.
Hover to preview
From your text
“new café near work is good — ask Sarah for the name”
02“
Meal
“2 scrambled eggs, toast, black coffee”
Scrambled eggsToastBlack coffee
≈ 380 kcal · breakfast
Hover to preview
From your text
“2 scrambled eggs, toast, black coffee”
03“
Expense
“coffee at Starbucks 4.50”
Starbucks$4.50
Food & drink
Hover to preview
From your text
“coffee at Starbucks 4.50”
04“
Tasks
“pick up dry cleaning; call dentist; book a flight”
Dry cleaning
Call dentist
Book flight
Hover to preview
From your text
“pick up dry cleaning; call dentist; book a flight”
05“
Mood
“feeling good — productive morning, clear head”
7good
Hover to preview
From your text
“feeling good — productive morning, clear head”
06“
Habit
“evening walk done”
Evening walk12
Hover to preview
From your text
“evening walk done”
07“
Metric
“water 64oz”
Water
64oz
Hover to preview
From your text
“water 64oz”
08“
Workout
“30 min run, 3 mi easy pace, felt strong”
gym·45 min
Bench press4×8
Incline press3×10
Dumbbell flies3×12
Hover to preview
From your text
“30 min run, 3 mi easy pace, felt strong”
09“
Person
“coffee with Sarah, talked about her next move”
S
Sarah3× this month
thinking about her next move — agency → in-house
Hover to preview
From your text
“coffee with Sarah, talked about her next move”
10“
Photo
“morning at the café”
morning at the café
Hover to preview
From your text
“morning at the café”
11“
Voice
“running late, will be there in fifteen”
0:14
“running late, will be there in fifteen”
Hover to preview
From your text
“running late, will be there in fifteen”
Each type has its own detail screen, parsing rules, and history view — tap any card in your timeline to drill in and edit any AI-parsed value.
Relational tracking

Tap Sarah.
See every time
you’ve talked.

People are first-class entries. Log a coffee, a call, a passing thought about someone — they thread together automatically. Tap the name and you see a quiet, accumulating record of the conversation you’ve been having with that person across weeks.

Three meets with Maya this month. First time with Ravi. You’ve talked to Sarah about her next move twice this week. The kind of context you used to carry in your head, now carried for you.

9:41•••• ≋ ▮
Today
Person · 6:30 PM
You met3× logged
Sarah
Notesyour own
Talked through her three directions — leaning toward in-house. Wants to decide by end of month.
Other times
Yesterdaycoffee4:30 PM
Fridaysecond call this week11:00 AM
Mon May 27first conversation7:15 PM
9:41•••• ≋ ▮
Create a type
Plant care
Name
Plant care
Icon
Nature
Body & wellness
Mind & spirit
Food & drink
Color
Cancel
Create type
Custom types

Don’t see a type
you need? Make one.

Pick a name. Pick an icon from the set. Pick a color. Save. Your new type joins the rail and behaves like a built-in.
Plant careReadingSymptomSongs heardPlant cuttingsConferences
Themes

Pick a room
to think in.

Eight palettes, paired into four families — each with a light and a dark version. Every palette is hand-authored, not algorithmically derived from a hue slider, so the type pastels feel right against whatever page you’ve chosen.
9:41•••• ≋ ▮
Tue · 05 May 26
Daily logbook
S
Quick log
Manage
Note
Meal
Expense
Tasks
Mood
Habit
Today
5 entries
8:14am
Meal
Scrambled eggsToastBlack coffee
≈ 380 kcal·breakfast
9:02am
Expense
Starbucks
Food & drink
$4.50
11:30am
Mood
7
good
productive morning, clear head
5:48pm
Workout
run·30 min·3 mi
6:30pm
Person
S
Sarah
thinking about her next move
Paper
Warm, papery, cream. The default room — inspired by quality stationery and the act of writing on actual paper.
9:41•••• ≋ ▮
Tue · 05 May 26
Daily logbook
S
Quick log
Manage
Note
Meal
Expense
Tasks
Mood
Habit
Today
5 entries
8:14am
Meal
Scrambled eggsToastBlack coffee
≈ 380 kcal·breakfast
9:02am
Expense
Starbucks
Food & drink
$4.50
11:30am
Mood
7
good
productive morning, clear head
5:48pm
Workout
run·30 min·3 mi
6:30pm
Person
S
Sarah
thinking about her next move
Ink
Warm-dark, evening-leaning. The same palette refracted into deep brown rather than cream — never pure black.
Four families, light and dark
Coffee
Cool
Nature
Stone
A day in the logbook

A day, logged.

What looks like a vertical timeline of pastel cards is, underneath, structured data: searchable, filterable, summable. Ten entries today — a meal, an expense, two metrics, a workout, a mood, a person, a note, a list, a habit.

Open one. Edit any AI-parsed value. Drill into people, into past versions of the same metric, into your other workouts this week. The journal that keeps its own index.

7:00 AM
Metric
water64oz
7:30 AM
Workout
gym·45 min·3 exercises
8:14 AM
Meal
Scrambled eggsToastBlack coffee
≈ 380 kcal · breakfast
9:02 AM
Expense
Starbucks$4.50
1:20 PM
Note
“the new café near the office is good — ask Sarah for the name”
3:30 PM
Mood
7good
4:15 PM
Tasks
Pick up dry cleaning
Call dentist
Book flight
4:30 PM
Person
S
Sarah
thinking about her next move…
6:00 PM
Habit
Evening walk12 day streak
11:00 PM
Metric
sleep11:30pm
“
Manifesto

People already keep a thousand small logs— on receipts, in voice memos, in their head. They’d put them all in one place if the place understood what each one was. So we built a journal that sorts itself, so you don’t have to.

— The Log Anything team
Get the app

Start your
logbook.

Download on theApp StoreAndroid coming soon.