Find new clients weeks before they post jobs

FINDFIND
RANKRANK
REACHREACH

Describe your patch in plain English and get a live, scored list of companies showing hiring intent, ranked by Hiring Heat Score.

Describe your patch in plain English

Tell Recruit Signals what you place, or pick comparable companies you wish you worked with. It turns that into a live view of your market, no boolean strings and no setup marathon.

Senior data roles at fast-growing fintechs
SeniorFintech

~42 companies match

Ranked by Hiring Heat Score

Every company that matches your patch is scored on live signals: funding, headcount growth, leadership changes and hiring velocity, so the companies most likely to hire rise to the top of your list.

HOT LEADSTuned to your patch

FlorijnPay

AI Fintech · 120 employees

84/100
€12M Series BHeadcount +18%

Kuiper Data Systems

Data Analytics · 120 employees

76/100
Head of Data hired

FinHub Amsterdam

Fintech · 95 employees

71/100
€8M raised

Be first, weeks before the job is posted

By the time a role goes public, other agencies are already calling. Recruit Signals reads the signals that come first and gives you a 20 to 30 day head start, drawn from 50 million+ records.

  1. Signals detected

    You start here

  2. 20 to 30 day head start

    You reach out

  3. Job posted

    Everyone else arrives

FAQ

Find New Clients, answered

How does Recruit Signals detect early hiring signals?
Recruit Signals continuously analyses signals such as funding rounds, leadership changes, headcount growth, and new office openings, drawn from a mix of third-party data providers and our own data pipeline. Each company receives a Hiring Heat Score based on which signals are active and how recent they are, with the contributing signals shown so your team can see exactly why a company is flagged.
What is the Hiring Heat Score?
The Hiring Heat Score is a score from 0 to 100 that indicates how likely a company is to start hiring in the coming weeks. It is calculated from the live hiring signals detected for that company, weighted by recency and magnitude. Every score is shown with the underlying signals so you can see at a glance both who to call and why now.
How accurate are Recruit Signals' predictions?
No predictive model is perfectly accurate. Our model is trained on millions of historical hiring events and is updated continuously as new signals arrive. The aim is a measurable, repeatable edge over reactive job-board sourcing: surfacing higher-intent companies earlier, with enough context for your team to convert that timing into client wins.
Can't I just use ChatGPT or Claude to find companies that are hiring?
You can ask an LLM to research one company at a time, but a general-purpose LLM works from a static snapshot and cannot continuously monitor live signal changes across thousands of companies. Recruit Signals tracks funding events, leadership changes, headcount moves, and job velocity in real time, validates contact details, and maintains a predictive model that improves with every new data point. LLMs help you write outreach; Recruit Signals tells you who to send it to and when.
How do I tell Recruit Signals what I'm looking for?
Describe your patch in plain English, or pick comparable companies you wish you worked with. Recruit Signals turns that into a live, scored view of the companies in your market showing hiring intent. You can refine it any time.

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