We looked at how many candidates get hired on Djinni within three months of opening their contacts, and whether that depends on category, experience, country, or how long they’ve been searching.

Below is an interactive widget where you can explore everything yourself.

Hiring odds = number of hires / number of active candidates. This is a lower bound, since a candidate’s offer could have come from any other platform. When you select filters, we first sum the candidates and hires across all selected groups, then divide one by the other.

2026 is incomplete (January-June only). Candidates who were active in Q2 haven’t had a full three months to find a job yet, so the 2026 rate is understated and will rise over time.

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In the short study below, “now” means 2025 plus the first half of 2026, and “before” means 2023-2024. We compare each group to the average hire rate of the same year. For example, ×1.5 means “1.5 times higher than that year’s average.”

Categories with above-average odds, consistently for the last few years: Lead Generation ×1.97, C++ ×1.84, Data Science ×1.68, Business Analyst ×1.55, SEO ×1.48, DevOps ×1.37, Python ×1.36, QA ×1.32.

Categories with below-average odds: Head/Chief ×0.44, HR ×0.56, Artist ×0.62, Unity ×0.68, Design ×0.70, Lead ×0.74, JavaScript ×0.76, iOS ×0.77, Marketing ×0.79.

Candidates from Ukraine are also hired more successfully than those from the rest of the world, even though the share of Europeans among active candidates is growing fast.

Whose odds went up:

• Juniors (0-2 years): from ×0.79 to ×1.09. They’re now the group with the best odds, but only because experienced candidates fell harder.
• Junior QA: from ×0.73 to ×1.58. There are fewer QA candidates now (−12%).
• C++ (×1.26 → ×1.84), Python (×1.11 → ×1.36), Data Science (×1.41 → ×1.68). Data Science has 68% more candidates, yet the odds still rose, so demand is growing faster than the candidate pool.

Whose odds went down:

• Sales, Marketing, Product Manager. These have 40-60% more candidates, and hiring odds dropped.
• iOS and Android, where demand fell without any influx of candidates. The candidate count is the same, but the odds collapsed: ×1.04 → ×0.77 and ×1.24 → ×0.88.
• Experienced candidates: 3-6 and 7+ years went from ×1.14 to ×0.98 and ×0.92. The number of seniors keeps growing too: 28K in 2024, 39K in 2025, and already 33K in the first half of 2026.

Candidates who searched longer have higher odds simply because they had more time to get an offer. That doesn’t mean a longer search improves your chances.