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Three steps to your
podcast library

No setup. No downloads. Your library starts growing immediately.

1

Add a Podcast by RSS

Paste any podcast RSS feed URL. SumBest imports all episodes immediately — no file downloads needed.

2

Episodes Transcribe Automatically

Each episode is transcribed word-for-word with timecodes, then analyzed — topics, people, resources, and sponsors extracted automatically.

3

Browse, Chat & Discover

Read transcripts, scan AI-extracted topics, and chat directly with any episode — getting cited answers pulled from the exact words spoken.

A podcast library that
thinks alongside you

Add a podcast once. Every episode is transcribed, analyzed, and ready to browse or chat — forever.

Add Any Podcast by RSS

Paste a podcast RSS feed URL and SumBest imports every episode automatically — no per-episode manual work.

Podcast RSS All episodes imported Auto-updated

Full Transcripts with Timecodes

Every episode is transcribed word-for-word with clickable timecodes that jump straight to the exact moment in the audio.

Timecode links Word-for-word AI speech recognition

Know What Every Episode Covers

Topics, people, books, and tools — automatically extracted from every episode and surfaced at a glance. No listening required.

Topics People & Resources Sponsors detected

Chat with Any Episode

Ask anything about an episode — "What did they say about pricing?" — and get cited answers grounded in exactly what was said, with timecode pill links.

Streaming responses Citation timecodes Grounded in transcript
Coming Soon

Cross-Episode Semantic Search

Search across your entire library — "find every time any podcast discussed fundraising" — with results ranked by relevance and linked to the exact moment.

In Development

Entity Knowledge Graph

Browse every person, book, tool, and company mentioned across all your podcasts — automatically connected across shows and episodes.

In Development

Keep up with 10 shows
like you used to keep up with one

Paste a feed once. Every episode — past and future — gets a full transcript, AI highlights, and a chat interface. Stop skimming show notes. Start actually knowing what's in every episode.

  • Know if it's worth your time

    AI summary of every episode. Scan 2 hours of content in 30 seconds and decide if you want to listen.

  • Nothing buried in audio again

    Every guest, book, tool, and topic extracted automatically — surfaced at a glance, no scrubbing required.

  • Ask the episode anything

    "What was their take on pricing?" Get a cited answer with the exact timestamp — grounded in what was actually said.

  • Every podcast, one place

    Add shows once. All episodes processed, indexed, and browsable forever. New episodes picked up automatically.

Ready in minutes
Uncapped with Jack Altman
Uncapped #46 | Brad Lightcap from OpenAI
49m
✓ Ready
Summary
Topics
Chat

AI Summary

SumBest generates a concise AI summary for every episode — key takeaways, notable moments, and the ideas worth remembering, without having to listen to the whole thing.

Topics & Mentions

OpenAI’s evolution from research lab to product and deployment company The current era of AI agents, tool use, memory, and long-horizon autonomous work AI’s effect on software engineering, coding, and demand for more software AI’s economic impact through increased productivity and reduced cost of creation AI scaling laws and the shift from research uncertainty to predictable capability gains
What are the key takeaways?
The episode dives deep into OpenAI’s evolution from research lab to product and deployment company, drawing out the practical implications and how they connect to the broader themes covered throughout. ↗ cited
Ask anything about this episode…

Live now — and
more on the way

Here's what's working today, and what we're building next.

 Live Now

 Coming Soon

File Upload (MP3, M4A, WAV, AAC)
Direct Audio URL
Cross-Episode Search
Entity Knowledge Graph
Ad-Free Transcript View

No episode limits

Add a podcast once and every episode — past and future — is queued automatically. No credits, no per-episode charges, no gotchas.

Compounds with every show

The more podcasts you add, the more powerful your library becomes. Cross-episode search and entity graphs are coming — built on top of the library you're already building.

Nothing to install

Entirely web-based. Your transcripts, topics, and chat history are accessible from any device — no app, no plugin, no setup.

Frequently Asked
Questions

Everything you need to know about your SumBest podcast library.

SumBest is an intelligent podcast library. You add podcasts by RSS feed, and every episode is automatically transcribed, analyzed for AI insights — topics, people, and resources — and made chat-able so you can ask questions about any episode's content.

Paste any podcast's RSS feed URL. SumBest imports all available episodes immediately and queues them for transcription. New episodes are picked up automatically as they publish. No manual downloads or file uploads required.

For each episode you get: a full word-for-word transcript grouped by speaker turn, clickable timecodes, AI-extracted topics, people mentioned, books and tools referenced, and sponsor/ad segments flagged. All of this is browsable at a glance or queryable via chat.

You can browse public podcast transcripts and AI insights without logging in. The AI chat feature — where you can ask questions about any episode — requires a free account so your conversation history is preserved.

Yes! Head to My Uploads to drop any audio file (MP3, M4A, WAV, AAC, OGG — up to 100MB). It runs through the same transcription pipeline as podcast episodes. The audio file is deleted after processing; you get a searchable transcript. Only you can view your uploads.

SumBest uses state-of-the-art AI speech recognition tuned for English podcast audio. Every episode gets a full word-for-word transcript with timecodes.

Your podcast library,
ready in 30 seconds

Paste an RSS feed. Every episode gets a full transcript, AI topics, and chat. Free — no card needed.

One click · No credit card · 10 free transcript credits