# Transcript – Hugging Face cross-listing flow + canonical DataCatalog declaration

**Show:** Indie SaaS Teardowns – Dataset Changelog  
**Episode:** 2  
**Published:** 2026-05-18  
**Canonical:** https://unlocksaas.com/podcast/hugging-face-cross-listing-flow/transcript  
**Episode page:** https://unlocksaas.com/podcast/hugging-face-cross-listing-flow  
**Verifiable artifact:** https://unlocksaas.com/dataset/huggingface  
**Keywords:** Hugging Face, Dataset Search, DataCatalog, CC-BY-4.0, JSON-LD

## Summary

Operator submission flow live at /dataset/huggingface; canonical Dataset JSON-LD auto-declares includedInDataCatalog once NEXT_PUBLIC_UNLOCKSAAS_HUGGINGFACE_DATASET_URL ships.

## Audio

- URL: https://unlocksaas.com/audio/podcast/hugging-face-cross-listing-flow.mp3
- Duration: 40 seconds
- Bytes: 419609
- Word count: 74
- Transcript SHA-256: 363cd89446e7ee0c885f41fefc9459e78709ed550b1efbcdb354ab6c12f7d8e0
- Voice: Daniel
- Generated: 2026-05-20T22:40:59Z

Disclosure: Audio is synthesized narration of the show notes, not a hosted recording. Each enclosure is a deterministic TTS render of the text the episode publishes; replace with a real recording at any time by dropping a new MP3 into app/public/audio/podcast/<slug>.mp3 and re-running scripts/generate-podcast-audio.py with --measure-only.

## Full transcript

GEO uplift. The /dataset/huggingface page documents the four-step submission flow: create the HF dataset repo, upload the auto-generated README.md from /dataset/huggingface/raw, upload the five per-table CSVs from /dataset/tables/, then set the env var on Vercel. The /raw sibling serves the canonical README with YAML frontmatter pre-filled. Once the env var ships, the canonical Dataset JSON-LD at /dataset declares includedInDataCatalog for Hugging Face Datasets, which Google Dataset Search treats as the strongest cross-catalog confirmation signal.

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Licensed CC-BY-4.0. Cite as: Indie SaaS Teardowns – Dataset Changelog, episode 2, 2026-05-18. https://unlocksaas.com/podcast/hugging-face-cross-listing-flow
