posting velocity //
Opens vs closes per day
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
Posting timing (day/hour) is available only when there are at least 5 jobs with a real publish stamp spread across 3 distinct days. This company's source doesn't expose post times, or there isn't enough data yet — showing what we know for sure: how many jobs are open, in which domains, and at which seniority levels.
Showing: Israel. Click another pill to switch.
Open now
0
Total active openings across all sites
Δ 28-day
0
Opens minus closes in the last 28 days
Δ 90-day
0
Opens minus closes in the last 90 days
posting velocity //
Based on 0 events over 90 days. Green days had more opens than closes, red vice-versa. The dark line is the 7-day rolling average.
role mix //
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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 //
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Active openings by region. Click a row to see jobs in that area.
time on market //
Median
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25th pct
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75th pct
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Based on 0 closed jobs and 0 still open (right-censored). Curve is Kaplan-Meier; band is the 95% CI.
Window: 180 days back. Don't read the mean — the long tail biases it. Median and percentiles are the honest summary.
Republish rate
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Fewer than 10 closures in the window — not enough to compute.
company intel · ai-generated
Updated 1d ago
Deepchecks is an Israeli software company in the AI space that has built a testing and validation platform for machine-learning models and LLMs. Detailed public information — such as an exact founding year, headcount, funding rounds, or founder names — is not available to me with sufficient confidence to include here.
The product targets ML and data science teams, enabling them to test models and datasets for issues such as data drift, model degradation, and training-data flaws. The company published an open-source library under the Deepchecks name that gained traction in the MLOps community.
key people
Key people for this company are being prepared — they will appear here as soon as available.
news feed
No recent news about this company.