posting velocity //
Opens vs closes per day
Based on 5 events over 19 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
Showing: Israel. Click another pill to switch.
Open now
3
Total active openings across all sites
Δ 28-day
+3
Opens minus closes in the last 28 days
Δ 90-day
+3
Opens minus closes in the last 90 days
posting velocity //
Based on 5 events over 19 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
The green layer is the current share of active openings by role. The grey dashed layer is the 90-day baseline — gaps between them show where the company is shifting its hiring mix.
seniority pyramid //
Seniority is not exposed by the source for this company.
Distribution of active openings by seniority. The 'unknown' row groups jobs from sources that don't expose seniority.
geography //
Active openings by region. Click a row to see jobs in that area.
time on market //
Median
—
25th pct
13.5 days
75th pct
—
Based on 1 closed jobs and 3 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.Low event count — the median will stabilise after ~49 more closures. Until then treat the values as indicative.
Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
—
Fewer than 10 closures in the window — not enough to compute.
company intel · ai-generated
Updated 1d ago
Earnix is a private Israeli company operating in the Insurtech and Fintech space, developing a SaaS platform for dynamic pricing, risk rating, and product personalization aimed at insurance carriers and banks. The company is headquartered in Tel Aviv, with commercial and sales presence in the United States and Europe. Detailed public information on funding rounds, valuation, headcount, and founders is not available to me with sufficient confidence to publish.
Earnix's platform targets insurance companies and financial institutions, enabling them to integrate actuarial and pricing models with real-time AI and machine learning capabilities. Typical buyers are pricing, actuarial, and analytics teams within large insurers and banks. The go-to-market motion is sales-led and focused on the enterprise segment.
key people
Key people for this company are being prepared — they will appear here as soon as available.
hiring signal · from our data
From our job data · always current
3 open roles in Israel · +22 worldwide
Top roles
news feed
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