Match is an early-stage platform enabling meaningful connections. We aim to go beyond superficial matching by aligning people, ideas, and opportunities with context, intention, and clarity.
“Match” is an acronym for Motion Analysis for Technique and Choreography Homology.
- Explainability: every suggested match includes reasoning
- Rich context: matching considers goals, preferences, and situation, not just tags
- Feedback loops: accept, reject, tweak – every interaction helps the system improve
- User control: you decide which inputs matter and how much weight they carry
- Clean UI with red accents: simple design, with red used as a highlight or focal color
- Core modules and business logic
- UI / frontend components
- Data / model definitions
- Tests and validation pipelines
- Configuration, scripts, and setup files
- Placeholder files or “to-be-built” stubs
- Styling, assets, and visual elements
This is the core team working on Match :
| Name | GitHub Profile |
|---|---|
| Adam Ouazzani (Portgas37) | Portgas37 |
| Sam Lee | jamsamjam |
| Azgaoui Omar Ziyad | AZOGOAT |
| ciacli | ciacli |
| Joe Makhoul | joe-makhoul |
- Expand matching logic (more signals, better weighting)
- Build UI pages for match display, feedback & editing
- Add settings for privacy, input weighting, and visibility
- Pilot deployment for a closed user group
- Collect feedback, iterate on match quality
- Scale to multi-domain / cross-network matching