LinkedIn Customer Acquisition
Get real customers from LinkedIn
In plain English
The promise here is simple: real customers from LinkedIn, not just likes. The tool finds people who fit one clear offer, the AI writes a personal message, and a human reviews it before sending, with later follow-ups needing less hand work. Businesses pay each month based on how many people they contact or how many teammates need access, because a personal note is what starts a buying conversation. The AI does most of the writing and the finding, but the person running the product still does a real share. That share is support, marketing, and cases that should stay with a person.
~$56 MRR; $69 verified revenue last 30 days (TrustMRR/Stripe, Oct 28, 2026)
Operator: Rafael Benetton
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
Apollo.io ↗B2B contact data
OpenAI API ↗LLM / vision
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Find relevant prospects or sites for one clear offer.
- AI writes personalized messages; humans review.
- Automate follow-ups and reply handling.
- Charge monthly by volume or seats.
What's automated vs. the human 25%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
Get real customers from LinkedIn
Operator: Rafael Benetton. Category on TrustMRR: Artificial Intelligence. Founded: 2025-11-25. Website: https://minerva33.com/
Estimated split: about 75% of the work automated, 25% human.
Realistic income
TrustMRR (checked Oct 28, 2026) shows about $56 MRR and $69 in Stripe-verified revenue over the last 30 days, $1,014 verified over its tracked history. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Deliverability and anti-spam laws (CAN-SPAM/GDPR).
- Low-quality outreach hurts the customer’s brand.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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