InterviewCue is a professional podcast management platform covering the entire lifecycle - preparation, live recording with real-time collaboration, post-production, and audio scrubbing.
Built by Michael Kennedy, host of Talk Python to Me and Python Bytes (1,000+ episodes, 10+ years of podcasting), every feature solves real problems encountered in weekly production.
Before the interview: Create structured question lists with background notes, attach reference links, and import from markdown. Organize interviews into shows with full podcast metadata.
During the interview: All questions visible as a scrollable document. Hotkeys capture highlights, audio issues, follow-ups, and chapter breaks - without breaking eye contact with your guest. Real-time collaboration lets producers and co-hosts follow along and capture events simultaneously.
After the interview: Review a chronological timeline of every captured event. Upload audio for inline scrubbing (+/-30s playback at each timestamp). Generate or upload transcripts. Use the proprietary alignment algorithm to map raw recording timestamps onto your final edited audio - generating near-perfect chapter markers automatically. Produce final MP3s with embedded ID3 metadata and chapters.
A generous free tier (4 interviews/month, transcription included). Pro at $12โ15/month for unlimited interviews and 30 hrs transcription. Team tier coming soon. All tiers include every feature - no ads, no feature gating.
A startup from Portland, the United States that is founded by Michael Kennedy.
Live Hotkey Capture
7 single-keypress hotkeys for events without breaking eye contact
Sync original and produced audio
Map raw recording times to final edited audio
Real-Time Collaboration
Host, co-host/producer, and guest roles with live sync
Export Formats
Markdown, JSON, CSV, PDF, EDL, Logic Pro MIDI, CUE, Show Notes
Audio Scrubbing
Inline playback at each timestamp for precise editing
MP3 Production
Embed ID3 metadata, cover art, and chapter markers
Stream Deck Integration
API-based event capture from any HTTP-capable tool
Free Tier
4 interviews/month with transcription included
InterviewCue is the only tool that covers the entire interview lifecycle - prep, live capture, and post-production - in one platform. Its proprietary audio alignment algorithm maps raw recording timestamps onto your final edited audio, automatically generating near-perfect chapter markers. Seven single-keypress hotkeys let you capture highlights, audio issues, and chapter breaks without ever breaking eye contact with your guest. And the built-in audio scrubber lets you verify every timestamp against your actual audio right in the timeline.
Most podcast tools focus on either recording or editing.InterviewCue focuses on everything around the recording - the part nobody else covers well. You get structured question prep with background notes, real-time event capture during the interview, and a full post-production timeline with audio scrubbing, transcript alignment, and direct export to DaVinci Resolve, Logic Pro, Adobe Audition, and more. It's also built by a working podcaster with 1,000+ episodes, so every feature solves a real production problem - not a theoretical one.
Podcasters who do interview-format shows are the primary audience, especially those producing weekly or bi-weekly episodes where workflow efficiency matters. It's also valuable for journalists doing long-form interviews, producers who support hosts during live recordings, and editors who need timestamped markers they can import directly into their NLE or DAW.
InterviewCue was built by Michael Kennedy, host of Talk Python to Me and co-host of Python Bytes - over 1,000 episodes across 10+ years of weekly podcasting.After years of managing interviews with scattered notes, manual timestamps, and tedious post-production workflows, he built the tool he wished existed. It's designed by someone who uses it in real production every week.
InterviewCue is a server-side rendered web application built with Python. It uses WebSockets for real-time collaboration, and the Web Audio API for inline audio scrubbing. Transcription is powered by OpenAI Whisper. Payments are handled through Stripe.
I don't have verified, up-to-date information about InterviewCue (interviewcue.com) to make a reliable assessment of its quality. I'd be fabricating details if I described specific features, pricing, or user experiences for this product.
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