Podcast Transcript Fetcher

Fetch transcripts from 5 supported podcasts. Tier 2 (RSS+Groq Whisper) is the recommended approach -- fast, free, and the most reliable across all podcasts. Tier 1 free sources are best-effort (limited availability). Tier 3 Taddy API is the premium/commercial option.

Quick Reference

bash
# Get latest episode transcript (auto-detects best method)
python scripts/get_transcript.py "Lenny's Podcast" --latest

# Search by episode title or number
python scripts/get_transcript.py 20vc --episode "Marc Andreessen"
python scripts/get_transcript.py dwarkesh --episode 15

# Force specific method
python scripts/get_transcript.py "cheeky pint" --latest --method whisper
python scripts/get_transcript.py a16z --latest --method taddy

# Save to file
python scripts/get_transcript.py lennys --latest --output transcript.md

# List all supported podcasts
python scripts/get_transcript.py --list-podcasts

Supported Podcasts

| Podcast | Tier 1 (best-effort) | Tier 2 RSS+Whisper RECOMMENDED] | Tier 3 Taddy (premium) | |---------|---------------------|-----------------------------------|------------------------| | Lenny's Podcast | GitHub archive (269 transcripts) | ✅ Substack RSS | ✅ Covered | | Dwarkesh Podcast | Website scrape + Substack PDF | ✅ Substack RSS | ✅ Covered | | Cheeky Pint | (none) | ✅ Transistor.fm RSS | ✅ Covered | | 20VC | Substack PDF | ✅ Libsyn RSS | ✅ Covered | | A16z Podcast | Website scrape | ✅ Simplecast RSS | ✅ Covered |

Implementation

1. Install Dependencies

bash
# Core (always required)
pip install requests

# Cloud transcription (recommended — fast, free tier)
pip install groq
export GROQ_API_KEY="your-key"  # Get at https://console.groq.com

# Local transcription (free, needs ~5GB RAM)
pip install faster-whisper

# Audio compression (for Groq's 25 MB limit — Windows: winget/scoop)
#   winget install ffmpeg  or  scoop install ffmpeg

# Taddy API (commercial, optional)
export TADDY_API_KEY="your-key"  # Get at https://taddy.org

2. Get a Transcript

The script auto-selects the best method. Tier 2 is the default recommendation:

Tier 1 → Tier 2 (RECOMMENDED) → Tier 3
(best-effort)  (Whisper)  (Taddy API premium)

Tier 1: Free direct sources (best-effort, limited availability)

• Lenny's: Clones ChatPRD/lennys-podcast-transcripts and searches by title
• Dwarkesh: Substack PDF scrape
• 20VC: Substack PDF scrape
• A16z: Website scrape
• Cheeky Pint: No Tier 1 sources available
• Note: Tier 1 sources are best-effort and limited. Tier 2 (RSS+Whisper) is the recommended approach.

Tier 2: RSS + Whisper transcription RECOMMENDED]

• Downloads MP3 from podcast RSS feed
• Compresses if >25 MB (ffmpeg)
• Transcribes via Groq Whisper API (free tier, ~10s per hour of audio)
• Fast, free, and works for every podcast in the registry
• Default recommendation for all use cases

Tier 3: Taddy API (commercial/premium)

• Requires TADDY_API_KEY ($75/mo+)
• Use for large-scale or production transcript needs
• Covers all 5 podcasts with auto-transcription

3. Analyze with AI

Once you have a transcript, pipe it to the agent for analysis:

markdown
I have this transcript from [podcast]. Can you:
1. Summarize the key arguments
2. Extract 3 actionable insights
3. Identify any controversial claims
4. Compare with [other podcast] on the same topic

Supported Workflows

Single Episode

| Scenario | Command | |----------|---------| | Latest episode | get_transcript.py "Lenny's Podcast" --latest | | Specific episode by title | get_transcript.py 20vc --episode "Sam Altman" | | Episode by number | get_transcript.py dwarkesh --episode 42 | | Force Whisper transcription (Tier 2, recommended) | get_transcript.py a16z --latest --method whisper | | Force Taddy API (premium) | get_transcript.py lennys --latest --method taddy | | Save to Markdown | get_transcript.py cheeky-pint --latest --output episode.md | | JSON output | get_transcript.py dwarkesh --latest --json |

Cross-Podcast Search & Batch

| Scenario | Command | |----------|---------| | Search all podcasts by keyword | get_transcript.py --search "Marc Andreessen" | | Search by guest name | get_transcript.py --guest "Sam Altman" | | Search within one podcast | get_transcript.py "Lenny's Podcast" --search "vibe coding" | | Batch-transcribe last N episodes | get_transcript.py "Dwarkesh Podcast" --last 5 | | Search + transcribe top matches | get_transcript.py --search "AI safety" --transcribe | | Pipeline with custom count | get_transcript.py --search "scaling laws" --transcribe --transcribe-count 5 | | Filtered search pipeline | get_transcript.py "A16z Podcast" --search "crypto" --transcribe |

Output Structure

Batch transcription saves to output/ with per-podcast subdirectories:

output/dwarkesh-podcast/Dwarkesh Podcast_2024-01-15_agi-is-still-30-years-away.md
output/20vc/20 Minutes VC (20VC)_2024-03-10_funding-round-analysis.md

Each file includes a YAML frontmatter header:

yaml
---
podcast: Dwarkesh Podcast
episode: AGI is still 30 years away
date: 2024-01-15
url: https://...
source: whisper
---

Podcast Registry

The registry at scripts/podcasts.json maps each podcast to its RSS feeds, transcript sources, and API endpoints. To add new podcasts:

json
{
  "id": "new-podcast",
  "name": "New Podcast",
  "rss": "https://example.com/feed.xml",
  "transcript_sources": {
    "primary": {"type": "website_scrape", "url": "https://example.com"}
  }
}

Troubleshooting

| Problem | Solution | |---------|----------| | "No transcript found" | Tier 2 (RSS+Whisper) is the recommended approach. If auto mode fails, try --method whisper to force it. | | RSS fetch fails | RSS feeds may change; check scripts/podcasts.json for current URLs | | Audio download slow | Large MP3s can take minutes on slow connections | | Groq rate limited | Wait or switch to local faster-whisper | | Taddy not returning transcripts | Some episodes lack transcripts; try --method whisper | | Podcast not in registry | Add it to scripts/podcasts.json | | Unicode error on Windows | Fixed: script auto-reconfigures stdout to UTF-8; saved files use UTF-8 encoding | | Audio > 25 MB for Groq | Install ffmpeg: winget install ffmpeg (Windows) or brew install ffmpeg (macOS) |

RSS Feed Status (as of 2026-06)

| Podcast | Old Feed (broken) | Current Feed | |---------|------------------|--------------| | Cheeky Pint | feeds.transistor.fm/the-cheeky-pint (404) | feeds.transistor.fm/cheeky-pint-with-john-collison | | 20VC | feeds.simplecast.com/3GxrMqOd (404) | feeds.libsyn.com/61840/rss | | A16z | feeds.simplecast.com/0cJfpoz2 (404) | feeds.simplecast.com/JGE3yC0V |

Common Mistakes

• Forgetting API keys: Set GROQ_API_KEY in your env or .env file
• Relying on Tier 1 free sources: Tier 1 is best-effort and limited. Always fall back to Tier 2 (RSS+Whisper) which is the recommended method.
• Not cloning the Lenny's repo first: The GitHub archive must be cloned locally for Tier 1 to work
• Using --method taddy without TADDY_API_KEY: Falls through silently; set the key or use auto mode