Fitbook
on liketu

Your posts are already a closet.

Fitbook finds the clothes in the photos you've posted on Hive and lays them out as your closet. Put them on in any photo of you, plan what to wear, and swap looks with people whose style you like.
@ochrebloom
at the market in Lagos
Found in her posts
Printed silk scarf
Mustard ribbed knit top
Raffia tote
Cobalt wide-leg trousers
Red leather loafers
Emerald satin skirt
White poplin shirt

Eight people, eight closets.

Made up for this page, from Lagos to Bergen, and dressed nothing alike. Here is what Fitbook does for each of them, and between them.
@ochrebloom
Lagos. Cobalt, mustard and a good print.
@saltandslate
Kyoto. Navy, grey and nothing loud.
@tram-seven
Lisbon. Old denim, new sneakers.
@moss-runner
Bengaluru. Trails before work.
@kilnhouse
Oaxaca. Knits, linen and clay on everything.
@neonmarrow
London. Techwear, after dark.
@quietlinen
Amman. Cream, camel and calm.
@fjordline
Bergen. Dressed for the weather, whatever it does.

One photo of you. Anywhere you want to be.

Pick pieces from your closet and Fitbook puts them on you: on your own photo, or somewhere new.
His photo
@saltandslate
Bookshop, from his photo in Kyoto
There are 33 scenes, the season's first, along with the places you post from most and your own photos of a place.
Your face, build and proportions stay yours. A look that changes them is thrown away, and you aren't charged.

Looks travel between people.

Each exchange here is an ordinary Hive post or reply, so PeakD, Ecency and hive.blog show it too. When one look leads to another, the credit goes with it.
Make your version
See a look you like and Fitbook suggests outfits like it from your own closet. Post yours and it credits the original, and pays its creator 5% of your post's rewards.
@ochrebloom
Post
Market Saturday
Cobalt, mustard, red loafers
@tram-seven
Post
My take on @ochrebloom's look
All from their own closet
5% of the rewards go to @ochrebloom
Style my closet
Ask for ideas and let people style you from the pieces in your public posts. They answer with a look, you save the one you like, and when you post it they're credited and paid 5%.
@kilnhouse
Asks
What trousers go with these?
Anyone can answer from her closet
@quietlinen
Replies
The olive linen ones
Picked from her own closet
@kilnhouse
Post
Wearing what @quietlinen picked
Styled by @quietlinen, paid 5%
Which would you wear?
Post two to four looks as a lookbook and people pick their favourite with one tap. A pick is a reply, so it counts everywhere the post is read.
@neonmarrow
Post
Three nights out
Lookbook
1
Night walk
24%
2
Cocktail bar
58%
3
The gig
18%
@tram-seven I'd wear 2 · Cocktail bar
@saltandslate I'd wear 2 · Cocktail bar
@ochrebloom I'd wear 3 · The gig
Should I get it?
Save a piece you don't own from a screenshot, a shop link or someone's post, try it with your own clothes, and ask. Answers are replies: Get it or Skip it.
On her wishlist, from a shop link
@moss-runner
Asks
Should I get the blue trail shoes?
An AI preview with her own clothes
Get it
71%
Skip it
29%
@fjordline Get it
@neonmarrow Get it. Blue suits you.

Host a challenge. Let people pick.

Anyone can host one: a theme, an end date, and a prize they send themselves. Entries are looks from people's own closets, picks are replies on the challenge post, and the host posts the winners. liketu never picks.
@tram-seven
hosts
4 entries
Closed, most picked first
1st
@quietlinen
14 picks
2nd
@neonmarrow
11 picks
3rd
@ochrebloom
9 picks
@saltandslate
6 picks
@tram-seven
replied
The winners: 1st @quietlinen, 2nd @neonmarrow, 3rd @ochrebloom. The 10 HBD is on its way.

Four days in Madeira, one carry‑on.

Tell Fitbook where you're going, when and what for. It plans a look a day from clothes you own, with as few pieces as it can, and packs from those looks. Past the forecast, it dresses for last year's weather on the same dates.
@fjordline
4 days in Madeira
Day 1 Hiking
Usually 19° / 14°, misty
Day 2 Old town
Usually 23° / 17°, sunny
Day 3 Sea cliffs
Usually 21° / 16°, windy
Day 4 Harbour dinner
Usually 20° / 16°, clear
Packing
8 pieces, 3 packed
×2
×1
×1
×2
×2
×2
×2
×2
Post the trip as a lookbook when you're back. The post says where, never when.

And on an ordinary Tuesday.

Fitbook counts what you wear from your dated posts, dresses you for the weather, and shows your style next to anyone's who has shared theirs.
Compare with mine
Your style on six axes, drawn from the clothes in your photos. Fitbook finds people who dress like you, and people who dress the way you'd like to.
@quietlinen
@tram-seven
What you actually wear
31
wears of the navy waxed jacket
£180, so £5.81 a wear. Last worn on Tuesday.
Counted from @fjordline's dated posts and the days she ticked.
Dressed for the forecast
9°
/ 4°
Bergen on Tuesday, rain from 3pm
A layer when it's cold, something that keeps the rain out, no sandals in a downpour.

Credit is part of the post.

What Fitbook adds is plain text in the post itself, so it travels wherever the post is read.
@tram-seven's version, as any Hive app shows it
@tram-seven
in Liketu
My version
My take on @ochrebloom's look.
The look
1. Layer: Cobalt chore jacket · worn here
2. Top: Mustard tee · worn here
3. Bottom: White wide-leg trousers
4. Shoes: Red canvas sneakers · worn here
Includes an AI preview made in Fitbook on liketu. It shows how the outfit could look, not a real photo or fit.
Inspired by @ochrebloom's look: liketu.net/@ochrebloom/market-saturday
Beneficiary
@ochrebloom 5%
Versions credit their source
A version names the look it came from and pays its creator 5% of the post’s rewards. Styled by works the same way.
Pieces link back
Each piece links to its page on liketu and to the post it was worn in.
Every pick is a reply
Picks, answers and challenge votes are ordinary replies, so every Hive app shows them.
Kept as you are
Looks are labelled AI previews. A look that changes your face is thrown away, and your photos never train AI.
Start with the photos you've already posted.
Everyone on this page is made up, and so are their photos and handles: none of them is a Hive account. Fitbook works the way it's shown here.