Show HN: AI Resume Screening – Looking for feedback from recruiters
Aiomniu launches an AI resume screening tool in beta, offering 100 recruiters free access to batch-parse PDFs and score candidates against job descriptions.
Aiomniu posted a Show HN thread on August 20, 2026, announcing a beta launch of an AI-powered resume screening tool, opening access to 100 HR professionals, recruiters, hiring managers, and technology team leaders.
Per the HN post, the tool lets recruitment teams batch upload and parse PDF resumes, compare candidates against job descriptions, and review skills, experience, project history, and industry fit. It produces a candidate fit analysis with scoring ranges and allows results to be exported as a CSV file. The company frames the product as a complement to a resume creation tool it had previously announced, positioning both within a broader recruiting ecosystem.
Aiomniu says the tool is designed to move away from keyword matching, which the company describes as a pain point in current resume screening workflows. The HN post notes that candidate contact information is encrypted by default on upload, and that the system deliberately withholds "unsuitable or unrecommended" labels on candidates — a design choice the company ties to compliance with European and American market expectations and a stated opposition to professional discrimination. The post also notes that AI output is intended as an aid to HR judgment, not a substitute for it.
Beta users receive free access during the testing period, 1,800 points per month after the official launch, and a 35% discount on on-premises deployment services, according to the HN post. The on-premises option suggests the company is targeting organizations with data residency or privacy requirements, though no pricing for that tier is disclosed in the source.
The HN thread had 1 point and 1 comment at time of posting, indicating limited community traction so far. Aiomniu is soliciting feedback specifically on false positives, false negatives, and workflow gaps — suggesting the product is at an early validation stage. No funding, founding date, headcount, or headquarter location is mentioned in the source material.
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