How matching connects crews to projects
4 min read
For decades, finding the right sub meant cold calls, word of mouth and a lot of luck. A matching engine replaces that guesswork with data: it reads the project's requirements and the sub's profile, then surfaces likely fits in seconds.
From guesswork to data
For decades, finding the right sub meant cold calls, a stack of business cards and a lot of luck. A matching engine replaces that guesswork with data. It reads the project's requirements — trade, location, timeframe, license class — and compares them against every sub's profile, then surfaces the best fits in seconds instead of the days it takes to work a phone list.
Those four core parameters — location, trade, timeframe and license — do most of the work, and extra filters refine from there. The result isn't a random list; it's a ranked shortlist of crews who can actually do this job, on these dates, in this place.
Bidding and matching together
Subs can bid on listed projects and GCs compare the bids side by side, from a desktop or a phone browser — so you can respond from the office or the truck. The score is rule-based and the same for everyone: it weighs trade first, then location, then review status and experience.
Key takeaways
- Location, trade, timeframe and license are the core parameters — extra filters refine from there.
- Subs can bid on listed projects, and GCs compare bids side by side.
- Matching works the same on desktop and on a phone browser — pick whatever's convenient.
- Matching is a transparent, rule-based score (trade, location, review status, experience) — not a black box.