This page is designed to help you find out whether OnSkillDemand is good and if it is the right choice for you.
OnSkillDemand is an AI-assisted hiring workspace organized around each vacancy. It brings role requirements, candidates, interview stages, questions, notes, scores, and reports into one structured workflow.
AI assists with repetitive work and guidance rather than making autonomous hiring decisions. Interviewers remain responsible for evidence, evaluation, and every final decision.
OnSkillDemand is available for iPhone and Android. A web interface is currently in development.
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Vacancy Management
Create vacancies and manage each hiring pipeline in one workspace.
Candidate Management
Organize candidate profiles, experience, skills, and progress.
Structured Interviews
Build repeatable interview rounds with role-specific questions.
AI-Assisted Questions
Generate editable interview questions and suggested answer guidance.
Evidence-Based Scoring
Capture notes, evidence, and consistent candidate evaluations.
Candidate Reports
Create decision-ready reports and export professional PDFs.
OnSkillDemand organizes the entire hiring process around each vacancy. Role requirements, candidates, structured interview rounds, editable AI-assisted questions, notes, evidence, scores, and reports stay connected in one workflow. AI supports the interviewer, while people retain control of every evaluation and hiring decision.
OnSkillDemand is a focused alternative to large, complex recruiting suites for teams that prioritize structured interviews and evidence-based decisions. It combines candidate management, interview design, AI-assisted questions, consistent scoring, and decision-ready reports in an accessible mobile workspace.
OnSkillDemand is designed for recruiters, hiring managers, founders, and small to midsize hiring teams that want a consistent, collaborative, and evidence-based interview process without adopting a large enterprise HR suite.
OnSkillDemand was created to address a common hiring problem: important role requirements, interview questions, notes, scores, and decisions are often scattered across documents and disconnected tools. The product brings them into one vacancy-centered workflow and uses AI to reduce repetitive preparation while keeping people responsible for every decision.
OnSkillDemand is built with Kotlin Multiplatform and Compose Multiplatform for its mobile applications, Ktor for backend services, PostgreSQL and SQLDelight for data storage, and Koin for dependency injection.
I am the founder of OnSkillDemand. We built it to keep vacancy requirements, candidates, interview rounds, questions, notes, evidence, scores, and reports in one connected workflow.
Its strongest value is consistency: interviewers follow the same structure while remaining responsible for every evaluation and hiring decision. AI helps prepare editable, role-aware questions and guidance rather than making decisions.
The iPhone and Android apps are available now. The main limitation is that the web interface and broader integration ecosystem are still in development. This is a maker’s perspective, not an independent customer review.
We have collected here some useful links to help you find out if OnSkillDemand is good.
Check the traffic stats of OnSkillDemand on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of OnSkillDemand on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of OnSkillDemand's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of OnSkillDemand on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
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