craigcannon

Thanks for the input. We're going to keep it in CA this time but will start thinking about remote hackathons for future events!

It's not based on revenue.

Yeah, projects that win often resemble early startups. That being said, you're totally welcome to build whatever you find interesting.

Glad you enjoyed it!

This is correct. We do it to keep things fair.

Solo applicants are welcome :)

Hey. Craig here. I organize the hackathons at YC. We're not doing travel grants for this event.

Thanks for checking it out!

Walker also covered many of the ideas in the book on Joe Rogan's podcast - https://www.youtube.com/watch?v=pwaWilO_Pig

We're hoping to provide better speaker detection and an easy workflow for podcasters.

Yeah, if you record on multiple tracks it's pretty easy but podcasting setups vary a ton.

That's a neat idea!

Yeah, we could definitely do videos.

Listen Notes is awesome. Just found out about it recently.

Google

I need to test this out more thoroughly. Is your speaker audio totally clean when they're not talking?

Yeah, we'll definitely have something free in the future. :)

For the launch we wanted to make sure we could handle all the first orders quickly.

Thanks!

Google actually

That's super cheap! Who do you use?

Yeah, that's an awesome idea.

I had kicked it around with some potential customers but went with this simpler model just to see if anyone was interested.

Will most likely go for that next because you're right, diarization is insane :)

Updated. Thanks for the feedback.

Only the Joey Diaz episodes :)

Yeah, they most likely pay for professional transcripts. As do orgs like NPR and bigger companies using podcasts for content marketing.

Nice! Let me know when it's ready :)

I've tried what's out there and still haven't found a solution that can consistency diarize well. So I'm doing some experiments on my end too.

Thanks for the feedback. Ours are diarized accurately. I've yet to see an automated service that does that well.

Hey HN!

Craig from YC here. This project is a follow-up to SpeechBoard, which was a text-based audio editor - https://news.ycombinator.com/item?id=15670827. Thanks for all the feedback there :)

We were surprised to find that many users just wanted transcripts, so Podscripter is an attempt to solve that.

Here's how it works: every time you publish an episode (or give us a file) we run it through a speech to text service. Then we split up the speakers by hand, which ends up being a fair bit of work and is why it's 24hrs instead of minutes . Then we email you the transcript.

Before I was podcasting at YC I had my own podcast and couldn't justify paying $1 a minute for transcripts. These machine generated transcripts get you most of the way there for a lot less money :)

Let me know what you think!

Related: The Mark of a Masterpiece - https://www.newyorker.com/magazine/2010/07/12/the-mark-of-a-...

Thanks!

We send each other links and throw the best ones in a doc :)

There is a way to look at top posts by day though - https://news.ycombinator.com/front?day=2018-04-16

Hey!

We do it with a few speech to text APIs.

We've only tested with English so far but it should be able to handle a bunch: Arabic, English, Spanish, French, Portuguese, Japanese, and Mandarin.