← All operations automation

95%+ match coverage

6,500+ members. Intelligent matches. Monthly.

Elasticsearch-based weighted scoring matches members by tools, industry, role, and timezone. Email introductions with engagement tracking.

Where it breaks today

6,500+ members need quality connections at scale. Manual matchmaking can't deliver the consistency members expect. Members aren't connecting. Value drops.

The fix

We match members intelligently and handle introductions automatically.

What we build

An agent is a stack.

01

Intelligent matching

Elasticsearch-based weighted scoring considers tools, industry, role, and timezone for optimal pairing.

  • Weighted scoring algorithm
  • Tools/industry/role/timezone matching
  • 90-day no-rematch rule
  • 3-program rotation
Core
02

Automated introductions

Email introductions sent with deliverability optimization. Engagement metrics tracked.

  • Email introduction automation
  • ≥95% delivery rate target
  • ≥25% open rate target
  • Google Sheets engagement logging
Module

How it works

Match. Introduce. Track.

01

Load member data

Integrate with HubSpot and Tally forms for member profiles.

Step 1
02

AI matches monthly

Weighted scoring pairs members intelligently.

Step 2
03

Introductions sent

Email intros with deliverability optimization. Engagement tracked.

Step 3

What it delivers

Outcomes, in weeks.

95%+ monthly match coverage
95%+ email delivery
85%+ positive feedback

Before → After

Matchmaking: Manual or inconsistent

95%+ monthly match coverage

Before → After

Introductions: Manual

Automated with tracking

Before → After

Member satisfaction: Unknown

85%+ positive feedback

No lock-in

Built in your stack.

Live in 3 months MVP. You own the system — sovereign, no vendor lock-in.

  • CRM Integration (HubSpot, Salesforce, Pipedrive, or your system)
  • Forms (Tally, Typeform, or your platform)
  • Email Integration (Gmail, Outlook, or any SMTP)
  • Spreadsheet/Database (Google Sheets, Airtable, or your tool)
  • Runtime & Orchestration (Trinity by Ability AI)

Questions

Questions about community matchmaking

How does weighted scoring work?

You define matching criteria (goals, experience, location, interests). AI applies weighted scores to pair members intelligently. No random matching - every pair is intentional.

What's the engagement rate?

Typical communities see 25-35% open rates and 15-20% reply rates. Much higher than manual introductions because matching quality is better.

What results should community managers expect?

Community managers typically save 10-15 hours/week on manual matchmaking. For 6,500+ members, that's $25K-$40K/year in capacity. Plus higher engagement drives 20-30% better retention.

How long does implementation take?

3 months to MVP. Month 1: HubSpot integration and matching algorithm design. Month 2: Email workflow and tracking setup. Month 3: Testing and optimization.

Do we own the system?

Yes. You own the system. We build the infrastructure in your stack, hand over the keys, and you own it forever - no vendor lock-in.

Marketing professionals networking at a conference event

Proof

95% match coverage. 6,500 members connected.

MarketingOps.com needed a scalable way to connect their community. We built the Monthly Matchup engine - connecting 6,500+ marketing ops professionals with 95% match coverage and 85% positive feedback.