ScreenStack

ScreenStack is an AI-native technical interviewing platform for HR and recruiting teams, with wording on its page also describing it as an AI-first video conferencing app built for interviews and meetings. It is presented as a single place to handle interview work that is otherwise split across several tools, with the stated goal of supporting evidence-based hiring decisions.

Its core workflow is organized into three phases. Before an interview, users set criteria such as competencies, skills, and benchmarks for the role, and those criteria guide AI follow-ups, real-time analysis, and post-interview scoring. During the interview, ScreenStack provides built-in video, a code editor, a whiteboard, and domain simulators. The product says the video system includes live transcription and speaker diarization, and that the code editor supports syntax highlighting, execution, and real-time collaboration. It also says the whiteboard can be used for system design, architecture diagrams, and visual problem-solving, while AI analyzes whiteboard activity alongside the conversation.

After the interview, every response, code submission, and whiteboard sketch is mapped back to the hiring criteria. The platform offers post-interview analysis that can be used to ask AI questions about the conversation, compare candidates, surface missed signals, and share structured feedback. ScreenStack also says it automatically records, transcribes, summarizes, and scores candidate interviews and HR meetings, and that the hire/no-hire decision stays with humans.

The service is delivered as a full video conferencing tool rather than a bot that joins meetings, and it is described as unified in one platform. It is available through free early access with no credit card required. The page says recordings, transcripts, and summaries are encrypted end to end, and users control what is saved, shared, or deleted. It also states that private data is not used to train models or shared with third parties.