
fit.
Actively maintained
37 linking domains
Emerging
- For
- People deciding what to wear from clothes they already own, photographed into a digital wardrobe.
- Activity
- Actively maintainedsite updated 2 weeks ago
- Runs as
- Mobile app
- Used for
- build an outfit from clothes already in your wardrobe
- check which shoes are missing for an outfit
- preview a look on your own photo before wearing it
- Launched on Product Hunt on Aug 27, 2026Product Hunt ↗
- Trains on your dataNoprivacy policy ↗
- Privacy policy updated2026-05-23privacy policy ↗
“We do not use your photos to train machine-learning models.”
privacy policy ↗
These are fit.'s own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
Figure and bar: visits/mo, estimate · year: online since
- #1

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CheckMCP · open
Overlays a tattoo design onto a body photo on your device and returns AI feedback on placement, size, style, readability and aging.
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betaThree tools from the Atlas for the job you describe, each with what fits and what does not.
No notes yet. What do you use fit. for?
Sign in to leave a noteWhat is fit.?
Reads photos of your clothes into a digital wardrobe, then an assistant assembles outfits from pieces you already own. It is listed in the Atlas under Creative & media.
Who is fit. for?
People deciding what to wear from clothes they already own, photographed into a digital wardrobe.
Do people use fit.?
Emerging.
Is fit. still maintained?
Actively maintained: site updated 2 weeks ago.
Does fit. train AI on your data?
No, per its privacy policy (2026-10-22): “We do not use your photos to train machine-learning models.”
Is fit. safe?
We do not audit vendors. What fit. publishes, read 2026-10-22: on training with your data, “We do not use your photos to train machine-learning models.”.
What are alternatives to fit.?
In Creative & media, by use: Stylegenai, Nenis, GetItDone, TraderWAI, snapWONDERS, Check.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
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