Make money

An unclaimed property bot found over $8,000 for 150 contacts and led to 4 client meetings

Hans Gruber @SoryNotaBot · Country unknown · Custom AI bot (platform not named), Email

What the agent did

He built a bot that checks for unclaimed property and had it scan his customer list. It drafted and sent emails to the people it found, telling them how to collect. The money belongs to his contacts. His own gain is the client meetings.

Result, as claimed

It found > $8000 in funds across 150 personal contacts, drafted and sent emails to them with collection information. Already have 4 client meetings set up as a side effect.

This is the result as the person described it in public. It has not been checked and is not a typical outcome.

Proof

Read Hans Gruber's post on X

Try it yourself

An agent that checks public unclaimed property records for your client list and drafts a helpful note to each person it finds.

Difficulty: Intermediate

Prompt

Here is a list of my clients and contacts [CSV with name, city, state]. For each person, search the official unclaimed property database for [state or country], such as MissingMoney.com in the US. List matches with the holder, the amount range shown and a link to the claim page. Mark weak matches where only the name fits. Draft a short, friendly email for strong matches telling them how to check and claim it themselves for free. Do not ask for fees or personal details. Show me every email before it is sent.

Tools

Steps

  1. Check that your contacts agreed to hear from you and that your local rules allow this kind of outreach.
  2. Run the prompt on a small batch first.
  3. Verify each strong match yourself on the official site.
  4. Send the approved emails and log replies.

Watch out: Name matches can be wrong and bulk emails can look like scams, so verify each match and keep the message clearly free and helpful.

Starter version by Solopreneur Code

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Klicco, a Singapore consultancy, built a system for this solo PropNex agent. It pulls leads from TikTok, Instagram, Facebook and his website into one place, and a WhatsApp AI agent pre-screens every enquiry and sorts it as hot, warm or cold. The source is Klicco's own case study, and the figures are not independently checked.

Result, as claimed

Manual qualification time went from 12-15 to 2-3 hrs/wk and response time from 4-8 hrs to 30 sec. Monthly qualified leads went from 15-20 to 45-50, with 3X hot lead conversion. In his quote: "The $2,000 investment paid for itself in the first month."