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Real-revenue cases

$8K Per Month Side Project Helping People Solve Murder Cases - Starter

Real demand

A Belgian federal police officer sells fictional cold-case kits: buyers get a mock police file, evidence bags and photos, then investigate online via fake social profiles, a fictional police database and a chatbot to catch the killer.

Founder interview, self-reported 素材未提及Facebook 广告Instagram Stories 广告Messenger 聊天机器人邮件列表
Startup cost
$5,000
Primary source
View original

01

Real-demand verdict

Real-demand verdict

Real demand

It substitutes for escape-room style offline puzzle spending, moving the experience home and extending it online; a repeat-purchase rate above 38% shows players come back for the next case rather than buying once.

How it makes money

Customers buy a physical case box outright (average price around $35) at roughly 43% gross margin, with plans to move to a monthly subscription box.

What old behavior it replaces

Offline puzzle entertainment such as escape rooms

02

Where the first customers came from

A roughly $200 Facebook ad test collected over 1,000 emails; pre-orders opened a month before the first shipment, and an email to that list produced 100+ orders within four hours.

Acquisition channels Facebook 广告Instagram Stories 广告Messenger 聊天机器人邮件列表

03

Tactics you can copy

  1. 01Validate the concept with a small Facebook ad spend and build an email list before launch, then fund the first production run with pre-orders; the founder started with only $5,000.
  2. 02Run Facebook page contests where users tag a friend, then use a chatbot to auto-subscribe participants to Messenger, lifting open rates from 25% on email to 95%.
  3. 03Test hundreds of photo creatives on Instagram Stories ads at about $0.08 per visit, then retarget those visitors.
Moving it to an AI business

The transferable parts are the cold-start and retention structure: cheap ad tests, pre-order funding, and pushing users into a high-open-rate chat channel. For an AI product, the chatbot role can be played by an AI assistant, but what sustains repeat purchase is a steady stream of new content (a new case each month), which applies to AI products too.

04

Evidence and limits

Self-reported numbers are unaudited — treat them as leads, not facts
Founder interview, self-reported

Revenue basis · Founder self-reported, unaudited (see source page)

What evidence is missing

The page header claims $85K monthly revenue while the founder says just over $8,000, and the source does not reconcile the two.
No retention data beyond repeat-purchase rate, so long-term churn is unknown.
The online components (chatbot, fake database) appear self-built; the source does not specify how much AI or automation is involved.