Business Matchmaking Agent

Import cohort responses, generate cross-participant matches across partnerships, client leads, peer learning, expert advice, and investor-style connections, then approve the best matches before drafting emails.

1) Add or edit participant

All data stays in your browser via localStorage.

Best format for Needs, Offers, and Ideal Connections: comma-separated phrases such as partnerships, B2B clients, AI implementation advice.

Full name Email Company / organisation Role / title Sector / industry AI stage Location LinkedIn Website Needs Offers Ideal connections Notes

2) Matchmaking controls

0Participants

0Unique pairs scored

0Approved matches

0People with draft-ready emails

This MVP uses a local scoring model based on complementarity, role fit, stage alignment, sector overlap, and intro usefulness. Later, you can connect it to a backend or [n8n](https://bit.ly/n8n_io) for AI scoring and automatic sending.

3) Review queue

Approve or reject each suggested connection.

Participants

Email drafts

Build draft from approved matches only.

Participant

No email draft yet.