Meet Match - 1:1 meetings at your event, matched honestly and booked without collisions

meet-match.skillsafe.ai

Clean

Enter the two sides you would pair, what each consented to, the meeting block in the published grid and any meeting number a sponsor package already names, and get a decision on whether to run 1:1 meetings at all, the matching mechanism with its criterion written as a sentence, a booked timetable that never double-books or crosses a session, the quota a package can honestly commit to and the no-show handling - then the one meeting brief to publish and the confirmations to send each pair. Free in your browser: the consent gate that excludes and counts everyone whose consent does not cover matching, the four menus re-ranked with deleted rungs struck, every named number held against what the block can hold, the unplaced pairs and why, with CSV, calendar, Markdown and JSON exports. A metered run explains the design, or writes the brief and the confirmations. It never quotes a vendor or platform benchmark and never invents a person, an organization, a slot, a fill rate, a meeting count or a consent. Built on the SkillSafe skill @samber/event-b2b-matchmaking, from samber/dev-event-organizer-skills (MIT), by Samuel Berthe.

meet-match.skillsafe.ai
PricingUsage-based + 10% creator margin
Billed model rate$2.20 in / $13.20 out per 1M tokens
Creator margin+10%
Effective rate$2.40 in / $14.40 out per 1M tokens
Security scanClean — skill and frontend scanned
Model gpt-terra
Created2026-10-30
Updated2026-11-04

Every public app is built from a security-scanned skill and must pass a clean scan — skill and frontend — before it can be listed. Have a skill of your own? Turn it into an app — or read the step-by-step walkthrough.

Share