PodText allows users to find anything said on a podcast. You can also listen and share clips to a specific part of the podcast audio, simply by highlighting the text of that part. Currently there are just over 25k podcast episodes and I’m adding a lot more in the coming weeks (yes my GPU bill is painful).
In order to monetize it, I’m building a sponsorship database to help sponsors find podcasts and vice versa. This will be sold in the form of a $99/month “PodText Business” subscription. I bet I could charge a lot more to large sponsors but I’ll tweak that as I talk to potential customers.
Right now the UI is very bare bones (doesn’t even have pagination) but I’ll polish it once the data pipeline is working well. Please let me know if you run into any bugs or have any questions about the site or business model.
PS: I'm a regular on HN using my real name but can't post under that account since my employer will fire me if they found out about this project :-)
If I were a sponsor looking for a podcast I would want my search process to look something like this:
- Search for a term relevant to my line of business
- See a list of podcasts ordered by % of utterances which contain my key phrase throughout their last N episodes
- Annotation of how many listeners each podcast had in last N episodes
If you could identify podcasts that often talk about a domain more broadly, you'll have a higher hit rate and overall a better audience fit.
the "How it Works" link is broken on home page of podsearch.page
In a world of increasing automated content generation, the "who" might become just as important as the "what" of information.
On to the next project I guess.
I might still try to release a nice bundled-up docker container that can STT a podcast RSS into a text RSS. Some podcasts are enjoyable to listen to, but some I just want to skim the text.
I've always enjoyed this question on their FAQ that gives some tips for potential competitors - https://www.listennotes.com/api/faq/#faq2
> There are at least 3,035,027 podcasts and 156,316,374 episodes on the Internet...
Because these transcripts are probably derivative works.