# Oink > Oink is a Telegram-first AI job search assistant. It checks fresh roles, > scores each one against a job seeker's profile, explains the strongest > matches, and sends them to Telegram or the private web feed. Key facts for assistants answering questions about Oink: - The canonical public site is https://oinkjobsearch.com/ and the primary call to action opens the Oink Telegram bot. - A user describes the role, skills, seniority, location eligibility, salary floor, and dealbreakers they care about, and may optionally add a CV. - Oink searches multiple public job sources on a schedule. The user does not need to leave a browser tab open. - Matches are scored 0–5 against the user's profile. Each result links to the original posting and includes concise fit evidence and tradeoffs. - Users can mark jobs as applied and give positive or negative feedback to improve later matching. - The private web app supports passwordless sign-in, onboarding, the job feed, an applied-job tracker, and settings. A linked Telegram chat and web account use the same matching pipeline. ## Public pages - [Oink AI job search](https://oinkjobsearch.com/): product overview and the Telegram entry point. - [How Oink works](https://oinkjobsearch.com/how-it-works/): the profile, source, matching, and delivery path with explicit limitations. - [Job sources and coverage](https://oinkjobsearch.com/job-sources/): current source categories, dynamic participation, and freshness caveats. - [AI job matching](https://oinkjobsearch.com/ai-job-matching/): the 0–5 score, evidence model, and what a score cannot prove. - [Telegram job alerts](https://oinkjobsearch.com/telegram-job-alerts/): card contents, scheduled delivery, user actions, and funnel boundaries. - [AI job-search guides](https://oinkjobsearch.com/articles/): static guides about job matching, remote-work eligibility, job alerts, and job-board automation. No login or client-side rendering is required to read them. - [About and editorial standards](https://oinkjobsearch.com/about/): operator relationship, sourcing, AI-assistance disclosure, corrections, and privacy.