Podcast Intelligence Pipeline
Replaced manual podcast listening with generated pitches, saving 50+ hours/week and $5K/month.
Sole Developer
I built it around the editorial team's existing review and publishing process.
Problem
Editorial spent full days manually listening to podcasts and transcribing episodes. Output was capped by listening hours.
Solution
Automated pipeline that ingests new episodes, transcribes via AI, extracts story angles, and delivers editor-ready pitches to Airtable.
Outcome
MeasuredSaved 50+ hours/week and $5K/month in contractor costs. Editorial throughput increased without adding staff.
How it works
Detect
Monitors RSS feeds for new episodes as they publish
Queue
Schedules processing and handles retries automatically
Transcribe
Converts audio to text via speech-to-text API
Extract
Pulls story angles and headlines from transcript
Deliver
Writes structured pitches to Airtable for editorial review