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Why HireRabbit.AI

More applicants, fewer recruiters, less trust.

Hiring teams are reading more applications than ever with fewer people, and the AI tools meant to help often hand them numbers nobody can explain.

Humans became the bottleneck.

Between 2022 and 2025, the average job drew more than twice as many applications while recruiting teams shrank.

244

applications per job in 2025, up 111% from 116 in 2022

Source: Greenhouse Hire Standard benchmarks (2026)

+412%

more applications per recruiter, 2022 to 2025

Source: Greenhouse Hire Standard benchmarks (2026)

−56%

fewer recruiters per organization, 2022 to 2025

Source: Greenhouse Hire Standard benchmarks (2026)

59.7 days

average time to fill in 2025, up 37% since 2022

Source: Greenhouse Hire Standard benchmarks (2026)

22%

of job seekers use bots to auto-apply

Source: Greenhouse 2025 Workforce & Hiring Report (2025)

34%

of recruiters spend up to half their week filtering spam and junk applications

Source: Greenhouse AI Trust Crisis survey (2025)

A score nobody can explain is a score nobody should trust.

Hiring managers largely trust AI; candidates largely don't. Research keeps finding bias in language models asked to rank resumes, and regulators want employers to explain automated decisions.

8%

of job seekers call AI in hiring fair, while 70% of hiring managers trust it

Source: Greenhouse AI Trust Crisis survey (2025)

85%

of the time, LLMs ranking resumes preferred white-associated names

Source: University of Washington, AIES conference (2024)

21%

of companies auto-reject candidates at every stage with no human review

Source: Resume Builder survey (2024)

Candidates hear nothing back.

61%

of job seekers have been ghosted after an interview

Source: Greenhouse 2024 State of Job Hunting (2024)

72%

of job seekers say the job description didn't match the actual role

Source: Greenhouse 2025 Workforce & Hiring Report (2025)

Three commitments.

  • The AI judges. The platform computes.

    The model judges each resume on four criteria. HireRabbit.AI computes every total, average and count you see. The headline score always agrees with the four scores beside it.

  • The AI suggests. Your rules decide.

    Rabbit, HireRabbit.AI's AI assistant, suggests short reasons; you write the real one. Single-candidate moves need a recorded reason, and auto-reject only runs on a threshold you set and a batch you confirm.

  • Guardrails in code, not prompts.

    A resume with no overlap with the job's required skills is capped at 20, whatever the model says. Candidate names and emails are kept out of the prompt that suggests move reasons.

Decisions we made on purpose

  • The model supplies the criterion scores. Every weight, total, average and count built from them, including the headline, comes from HireRabbit.AI.
  • Decisions about people stay with people. Rabbit suggests move-reason chips; recruiters write the reason.
  • Candidate identity stays out of the prompt that suggests move reasons.
  • Closing a job writes nothing to candidate records, so reopening it restores everything.
  • Rejecting is a separate permission from moving, checked on the destination stage.
  • AI failures are reported for what they are: a rate limit looks different from a rejected request.

See every score explained.

HireRabbit.AI is in invite-only early access. Request access with your work email and our team will review it.