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Two jobs in one
From 2020 to 2023, Alexis recruited on his own: tech profiles, often entire teams built from scratch. Like every recruiter, he was doing two jobs at once — finding clients, then finding the candidates to fill their roles.
Our story
Profilr did not come out of a market study. It came out of a recruiting system that worked so well that clients asked to buy it.
From 2020 to 2023, Alexis recruited on his own: tech profiles, often entire teams built from scratch. Like every recruiter, he was doing two jobs at once — finding clients, then finding the candidates to fill their roles.
So he applied growth and ops methods to recruiting: one system to spot the companies that were hiring, another to source the right candidates. Three years in, on his own, that system was bringing him €500,000 in annual revenue.
On longer assignments, clients watched him work and eventually asked him not to recruit for them, but to install the system in-house. With Julie, he built them bespoke tools — Airtable, Make, n8n. From one client to the next, the needs were the same.
It was not bespoke at all: it was a product that did not know its own name, and no no-code assembly would hold the load. In mid-2024, Matteo and Thomas joined to build real software. Beta in January 2025, commercial launch in September 2025.
Profilr was designed from day one for a world where AI does the searching, the enriching and the follow-ups: hiring-signal detection with Adchase, AI sourcing, contact enrichment, multichannel outreach, AI agents inside the app or from your own tools over MCP. More than 300 customers use it.
Next comes the Profilr ATS & CRM — and our clients decide the rest.
Development begins; Matteo and Thomas join
Beta
Commercial launch
300+ customers, Adchase and AI agents
Profilr ATS & CRM
We recruited before we published software. Every feature answers a problem we ran into ourselves, not a checkbox in a comparison table.
Not on profiles exported, or hours spent inside it. If your subscription is not paid back by your first placement, the tool has not done its job.
The market has trained recruiters to rent access to their own trade, at a high price, from vendors who hold all the leverage. Bringing your work back onto a single platform means taking back control of your costs, your process and your data.
Searching, enriching and following up are jobs for machines. Judging a candidate, earning a client’s trust and closing a placement are not. We build AI that frees recruiters for the part of the job only they can do.
Eight of us, working out of a manor house. One of them a dog, who does not code but holds his post.
I recruited for four years before the first line of Profilr was written. I’m building the tool I wish I’d had.
I conduct the operations. I’ve automated so much of it that there’s almost nothing left to do.
I design the architecture, then spend my days holding together things that had no particular intention of fitting.
I ship fast. If a feature takes three months to land, it was the wrong feature.
I spend my days on the phone with recruiters. They write the roadmap — I just pass it on.
I’m usually the first voice you hear at Profilr. I’d rather tell you no than sell you a tool you won’t use.
I look for firms still doing everything by hand. When I find one, I’m unbearable until they’ve seen the demo.
I don’t code and I don’t sell. I sleep under the desks and make sure nobody stays seated too long.