←All work§ 04 · Real estate wholesale
BDS

Buyer-matching engine for disposition teams.

47 qualified buyers matched in under 2 minutes. InvestorLift alternative without the lock-in.

Match time
< 120s
Buyer database
18K+
Deals closed
$4.2M
Client
3-market wholesale operation
Timeline
8-week build · 5 months live
Category
Matching · CRM · Ops
Stack
Convexn8nCustom matching engineTwilio
The challenge

The disposition team was manually matching new deals against a 18K-record buyer list in a spreadsheet. Deals sat 2–4 days waiting for a match. InvestorLift charged $25K/year and locked them into an ecosystem.

The approach
  1. 01

    Migrated the buyer list into a Convex-backed database with structured criteria per buyer.

  2. 02

    Built a matching engine that scores every new deal against every buyer in under 2 seconds.

  3. 03

    Wired auto-outreach: top 20 matches get personalized SMS with property details and a link.

  4. 04

    Instrumented deal-flow tracking so buyers see only what they closed on before.

The outcome

In five months, 47+ buyers auto-matched per deal, average match time under 2 minutes, $4.2M in closed dispositions attributable to the system. InvestorLift subscription cancelled.

“We closed $4M in five months on deals that used to sit for a week. That's it.”

Head of Disposition, wholesale operator

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