MimikFlow replaced his setter: 10x cheaper, and meetings book themselves.
His human setter is gone: the machine costs 10x less and books meetings straight into his calendar on its own.
25
Meetings auto-booked
10x
Cheaper than his setter
1,000+
Prospects processed
The context
Luc founded LogiSpear after 10+ years of software and AI engineering in demanding environments. He helps companies deploy secure, scalable AI in a few weeks, including in regulated industries. Like many technical founders, he had handed his prospecting to a human setter: a full monthly salary to fund, someone to manage, and results that varied.
Luc's math is simple and he owns it: his human setter cost a real salary for irregular results that needed constant follow-up. He plugged MimikFlow into his LinkedIn and his calendar, then let it run. The machine finds prospects matching his target, starts the conversation, qualifies, and offers real slots: meetings land directly in his calendar, no intervention needed.
“MimikFlow completely replaced my setter. It costs me ten times less, and it books more meetings, hyper qualified.”
Luc Ebert
Human setter vs MimikFlow, his comparison
With his human setter
A full position to pay every month, results that depended on the day's motivation, management and follow-ups on top of his own work. And meetings of uneven quality.
With MimikFlow
Ten times cheaper, a machine running around the clock within LinkedIn's safety limits, and conversation-qualified meetings landing directly in his calendar.
The setter position disappeared from his payroll. The meetings went up.
His setup
Everything runs on automatic, with the connected calendar as the centerpiece: when a prospect is warm, the AI offers real availability and confirms the booking itself. The targeting is sharp (executives who want to deploy AI without legal risk or technical debt), and every conversation qualifies the need before proposing the meeting, which explains the quality of the calls that come out.
The outcome
Over 1,000 prospects processed, around 160 conversations started, and 25 meetings booked automatically into his calendar by the machine, while he delivers his client work. The setter position disappeared from his payroll; the meetings went up, with better-qualified people on the other side.