About Do Not Ghost Me
Do Not Ghost Me is a project for job seekers who get ghosted by companies and HR teams during hiring processes. When you invest time in applications, take-home tasks and interviews, completely losing communication is not just rude – it is emotionally exhausting and, in my opinion, not something we should accept as “normal”.
The goal of this project is to create a place where these experiences can be reported in a structured way and turned into data: patterns, statistics and insights about how often ghosting happens, at which stages, and how it affects candidates.
The problem: ghosting in hiring
- Candidates often invest hours or weeks of work into applications, tests and interviews, only to suddenly stop hearing anything back.
- This creates stress, self-doubt and uncertainty on top of an already difficult job search.
- Because ghosting is so common, many people quietly accept it as part of the process, even though it is a very poor way to treat applicants.
- There is usually no transparent record of how companies behave, so candidates have very little information before applying.
How this project tries to help
- Provide a simple way for candidates to document when and where they were ghosted (stage, company, role details, timeline).
- Aggregate these reports into statistics and visualizations instead of leaving experiences as isolated stories.
- Make ghosting more visible so candidates can set expectations and think twice before investing time into companies with a bad track record.
- Encourage more respectful hiring practices by showing that silent drop-offs are noticed and remembered, not forgotten.
Privacy & data
The project is focused on patterns and aggregated data, not on exposing individuals. When describing your experience, you should avoid sharing:
- Full names of specific people (recruiters, managers, etc.).
- Phone numbers, email addresses or other direct contact details.
- Exact addresses or any highly sensitive personal information.
Focus on the company, process, timeline and what happened, not on doxxing individuals. The goal is to highlight systemic behavior, not to start personal harassment campaigns.
Reports are stored without creating user profiles or accounts. The application does not ask for or intentionally store personal data about the people who submit reports (such as your name, email address or contact details). We apply IP-based rate limiting using salted hashes of IP addresses rather than storing raw IPs. The interest is in aggregated behavior of companies and HR processes, not in tracking you as an individual candidate.
How to contribute
The platform is currently being built as an open-source project. If you want to help shape it, report issues or just reach out, you can use the GitHub repository:
- Open issues with ideas, bug reports or UX feedback.
- Suggest data fields or metrics that would make the stats useful.
- Submit pull requests if you want to contribute code or docs.
- Use GitHub to contact me directly if you have questions or want to collaborate.