Picture a graphic designer in Toronto who needs plumbing work done, and a plumber across town who needs a new logo. That match exists somewhere in the city — the hard part is finding each other before one of you gives up and just pays cash for it.
Scrolling through open listings doesn't really solve that. There are too many people, categories are too broad, and there's no way to know who's actually going to follow through. So instead of leaving that to chance, we built a matching system that does the legwork for you.
What it actually looks at
When you post what you have or what you need, we look at things like:
- Where you actually spend time, not just your listed address
- What you've searched for and how often
- Your past trades — completed, cancelled, or rated
- Tags pulled automatically from your posts and photos
- Who you've already traded with, and who they've traded with
- How quickly you tend to respond, and when
None of this is about surveillance — it's the same basic idea behind a good recommendation engine, just pointed at finding you a trustworthy trading partner instead of a movie to watch.
What happens when you post something
The moment you create a listing or update your profile, the system checks nearby users whose needs and offers line up with yours, scores how good a fit each one is, and sends you the best matches — usually within a second or two. No manual searching required.
The more the system sees real trades happen — and how they turn out — the better it gets at spotting good matches early. It's a flywheel: better matches lead to more completed trades, which teaches the system to make even better matches.
Why this matters more than it sounds like it should
The single biggest reason barter never took off at scale before now is discovery — finding the right person at the right time was just too much work. Automating that part is what makes everyday bartering realistic again, instead of something you'd only do out of necessity.
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