Very Disco

Everything ever mentioned in your favourite podcasts

106 followers

Everything ever mentioned in your favourite podcasts

106 followers

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Meet Very Disco — the “IMDb for podcasts”. Discover, listen to, and save every book, movie, TV show, and person ever mentioned in a podcast.

Free

Launch tags:Search•Audio•Data Visualization

Launch Team

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Very Disco

Maker

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Hi PH community, I'm Desi, and I’m happy to introduce you to Very Disco — “Everything ever mentioned in your favorite podcasts” Very Disco is the IMDb of podcast content. We identify every topic in every podcast episode: every book, person, TV show, movie, and more. So next time you’re listening to a podcast episode, and an interesting book is mentioned, you can: 1) see which book it is, 2) see every other time the podcast has mentioned it, and 3) find every *other* podcast talking about it too! No more detective work is needed. Once you’ve found it, simply add the book to your Very Disco to-do list and add the episodes to your queue. So whether you want to find every time Paul Graham has been mentioned across all 700 episodes of the Tim Ferriss Show (it’s been 43 episodes so far!), or the 21 episodes where Lex Fridman brings up 2001: A Space Odyssey, or you simply want to discover which topics are discussed most often in Huberman Lab: Very Disco has you covered! What else can you do? 1. Listen to any episode. 2. Read and search episode transcripts. 3. Save, rate, and review any book, movie, episode, or TV show. 4. Add episodes to your queue. 5. Switch between light and dark mode based on your preference. And we’re only just getting started. We will soon be adding more social features, more topics, alerts, and ever-improving AI models that make the magic happen. We are currently featuring seven podcasts, and we will be adding more and more over the coming weeks and months. Let us know in the comments which podcast you'd like us to include next — we’ll add the most-voted podcasts as soon as possible. It's free to use, so give it a try. I'm here for any questions. Hope you enjoy it!

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2yr ago

Very Disco

Maker

@mohammed_mustafa_jafer Hey Mohammed, I'm glad you like what we're building! We are super proud of the pipeline we're building for identifying entities. We first ingest the audio and extract any metadata in the audio file itself. Then, we transcribe the audio and identify different speakers. Next, using that context (the metadata, text, audio, and podcast) we have trained embeddings (and a few other tricks) to map speakers to actual people. Next, we have a model that uses all that context, plus extracted language features, we can parse the transcript to identify "topics" (person, book, movie, company, etc). Then, finally, we use all that context combined, with some Bayesian priors, to map these topics to actual entities in our knowledge base. We are currently finishing up a *big* training loop which looks to be a *dramatic* improvement in precision and recall. Plus, we are currently ingesting up a big knowledge base dataset from Wikimedia (and a few others). Armed with all that, we will be rolling this out to the next 50, 500, and 5,000 podcasts over the coming weeks and months - so stay tuned!

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2yr ago

@desicochrane Hi, we create Web Operating System with own app store, where users get software from. Your app is amazing and we want to enable you to share it to our users 🙂 Can we talk?

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2yr ago

💡 Bright idea

Great product y'all! I often listen to podcasts that mention other podcast episodes and/or invite hosts from other podcasts so it's great to see a tool that makes this linking and discovery easier. I'd also love to be able to browse specific topics, e.g. "ADHD" and listen to the most popular and best-rated postcasts in that category. Looks like that's your vision here so I'm rooting for you!

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2yr ago

Very Disco

Maker

@the21nd Thanks Simon! Great callout re adding more topics. We are training some models at the moment to do just this and the results are looking super promising.

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2yr ago

Avocode

Hey guys, super cool idea "imdb for podcasts". This might finally get me out of my Spotify comfort to use a dedicated podcast app. Good luck!

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2yr ago

Very Disco

Maker

@jakubzitny Thanks Jakub, hope you like it! If your fav podcast isn't there let us know.

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2yr ago

As someone in the podcasting space, I find this interesting. Who is your target market?

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2yr ago

ROAARRR

Maker

@metadavid Yeah, it's a great question with a wide open answer. We love the idea of becoming a Goodreads/Letterboxd for podcasts, a social-focused podcastDB. However, our transcription & entity linking & tagging opens the possibilities for us to appeal directly to creators, we could come up with a pretty gnarly set of creator tools based on this tech. Our data opens us up to being valuable as an API, informing companies of podcast mentions, helping advertisers place ads based on content. We have a lot of possibilities, and part of our goal with this launch is to gauge interest and allocate our resources effectively. As someone in the podcasting space, your opinion is mega-valued, what do you think?

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2yr ago

PhishDeck

Excellent work! Really intuitive and helpful, big kudos to you and the team. See some great potential for this as my dedicated podcast app.

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2yr ago

Very Disco

Maker

@juxhindb Thanks Juxhin! That's what we like to hear!

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2yr ago

MyDevPage

Congrats on the launch Desi!

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2yr ago

Very Disco

Maker

@shahmir_faisal Thanks a lot Shahmir!

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2yr ago

💡 Bright idea

Congrats on the launch, super cool. Just finding book recommendations from a particular guest is super valuable

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2yr ago

Very Disco

Maker

@klajdi_kl Thanks Klajdi! So many of my favorite books came from an obscure mention in a podcast episode. We're gonna spice up recommendations a lot over the coming weeks.

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2yr ago

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