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Product snapshot
GuestLab is a web application that uses AI to speed up guest research for interviewers, podcast hosts, and event planners. It extracts information from LinkedIn profiles to produce tailored introductions, focused interview questions, and relevant topic suggestions, cutting down the hours normally spent on manual prep. The result is more accurate background material and richer conversations.
Core features
- Generates custom opening remarks, talking points, and follow-up prompts based on a guest’s LinkedIn.
- Summarizes professional history and highlights that matter most to the interviewer.
- Suggests targeted question sets and topic areas to shape a more compelling episode.
- Integrates quickly into existing workflows to reduce prep time and improve content quality.
Ideal users
GuestLab is aimed at:
- Independent podcasters and show producers preparing for interviews.
- Event organizers booking panels and keynote speakers.
- Journalists and interviewers who need concise, reliable background checks.
Comparable tools and alternatives
- Podchaser Pro — for discovery, credits, and guest discovery tied to podcast databases.
- SEMrush — useful when you want competitor and SEO context alongside guest research.
- Free manual research — using public bios, LinkedIn, and company sites for a zero-cost approach.
- Otter.ai or similar transcription + research tools for post-interview analysis and note-taking.
Background and roadmap
Inspired by its founder’s own needs in the podcasting space, GuestLab launched as a minimum viable product to act like a quick research assistant — a behind-the-scenes helper for hosts. Currently it relies primarily on LinkedIn data but the development roadmap indicates plans for broader data sources and feature expansion to make preparation even faster and more flexible.
Technical
- Web App
- Full