# WavePod (pod.wave.co)

> Public podcast discovery + transcription. For every podcast series and episode WavePod indexes, there's a permanent, SEO-friendly page with metadata, an AI-generated summary, and (on demand) a full transcript with speaker labels. Built by Wave AI as a free, public-by-default companion to the main Wave note-taker.

URL:           https://pod.wave.co
Parent:        https://wave.co
Pricing:       Free (no signup required to read; signed-in users can subscribe to series and trigger transcriptions)
Tech:          Next.js 16 on Vercel · Postgres (Neon) · AssemblyAI for transcription · OpenAI for summaries
Data sources:  Taddy Podcast API (catalog) · publisher RSS · AssemblyAI (transcripts)

## URL structure

- Homepage: `https://pod.wave.co/` — Top Charts and discovery
- Series:   `https://pod.wave.co/podcast/{seriesSlug}`
- Episode:  `https://pod.wave.co/podcast/{seriesSlug}/{episodeSlug}` — full transcript + AI summary + audio player
- Search:   `https://pod.wave.co/search?q=...`
- Library:  `https://pod.wave.co/library` (signed-in)
- Sitemap:  `https://pod.wave.co/sitemap.xml`
- Robots:   `https://pod.wave.co/robots.txt`

Every series and episode page emits JSON-LD (`Podcast` + `PodcastEpisode` schemas via `components/JsonLd.tsx`) for rich results.

## What you'll find on an episode page

- Title, publish date, duration, episode artwork
- AI summary (overview, key topics, takeaways) — generated by OpenAI from the transcript
- Full transcript with speaker labels — generated by AssemblyAI, indexed for search
- Audio player
- Link back to the series page and to other episodes
- "Subscribe in Wave" CTA for signed-in users (notifications when new episodes arrive)

## What WavePod is for

- **Listeners** who want a searchable, readable version of a podcast episode without re-listening
- **Researchers and journalists** quoting podcast guests with timestamps
- **Creators** previewing how their own show looks transcribed
- **AI agents** retrieving canonical, citable text for any indexed podcast episode

## Content notes for AI agents

- Transcripts are **AI-generated** (AssemblyAI). Quote-level accuracy is good but not perfect — prefer the speaker-attributed segments over inferring tone.
- Summaries are **AI-generated** (OpenAI). They paraphrase the episode; they are not the publisher's official description.
- Episode audio remains the property of the original podcast creator. WavePod stores transcripts and summaries derived from publicly distributed audio.
- WavePod **does not** offer a public REST API. If you need programmatic access to a Wave user's own recorded sessions (including their imported podcasts), use [api.wave.co](https://api.wave.co).

## Related Wave surfaces

- [Wave](https://wave.co) — the main AI note-taker (iOS, Android, web, Mac, Windows, Chrome extension). Full overview at [wave.co/llms.txt](https://wave.co/llms.txt).
- [WaveTube](https://tube.wave.co) — same pattern as WavePod, for YouTube videos.
- [Wave Developer API](https://api.wave.co) — REST API over a user's own Wave sessions. Docs at [api.wave.co/llms.txt](https://api.wave.co/llms.txt).
- [Wave MCP Server](https://mcp.wave.co) — hosted MCP server for Claude/ChatGPT/Cursor. Docs at [mcp.wave.co/llms.txt](https://mcp.wave.co/llms.txt).

## Differentiators

1. **Permanent, indexable pages.** Unlike player apps, every page has a stable URL with the full transcript text in the HTML — Google-indexable, citable, deep-linkable to specific episodes.
2. **Real transcripts, not just chapter summaries.** AssemblyAI with speaker diarization, not auto-captions guessed from audio fingerprints.
3. **Free, no signup required to read.** Signup is only needed to trigger transcription of a series WavePod hasn't seen yet, or to subscribe for email notifications.
4. **Tied to Wave.** A signed-in WavePod listener's library is shared with their main Wave account — same Firebase identity, same downstream tools.

## Brand

Built by:    Wave AI
Company:     Mohrer Associates LLC
Founder:     Josh Mohrer (former Uber executive; non-engineer who built Wave with AI)
Location:    New York, NY
Contact:     legal@wave.co