From messy listing to searchable data
AI automatically understands every listing and adds the tags buyers actually search for.
How a listing becomes searchable
Posts arrive as unstructured text. AI reads them, adds tags from a fixed list, and those tags become filters.
Source listing
Unstructured text from Facebook, classifieds and more.
6 hours ago
NEW ARRIVAL !!
14.2 • 8yo • Piebald • Gelding. Successfully competed in unaffiliated comps, been to Pony Club camp and hunted.
AI understands
AI reads the listing and identifies key information.
AI reads the listing
Identifies details, type, suitability, experience and more.
Automatic tags
Key details are turned into structured tags.
Automatically tagged
- Pony Club
- Hunting
- Competition Experience
- Coloured
- Gelding
- Showing
Find what you want
Buyers can quickly search and filter using these tags.
What the AI picks out
Tags come from the listing itself. If the post does not say it, the tag is not added.
- The horseFacts buried in a sentence become fields buyers can filter.
- Height, age, sex, and colour
- Breed and type when the post states them
- Life stage, from youngstock to veteran
- What it has doneCompetition history and yard experience turn into tags.
- Pony Club, hunting, and showing
- Competition experience
- The sort of work the horse has done
- Who it suitsThe post’s intent is kept, without rewriting the seller.
- Hacking, schooling, or a specific job
- Handling and temperament when stated
- Loan, sale, or livery when that is the offer
Why the tags matter
Group posts are written for people scrolling a feed. Tags turn that text into something you can search.
- Buyers filter on the words they already search for
- A messy post stays intact, with tags added beside it
- The same tags power search, filters, and the listing
- You still deal with the seller — Stashly organises the listing
Frequently asked questions
Search listings that are already tagged
Filter equestrian listings by the details that used to be buried in the original post.