Find what was said in a podcast using AI powered search
Tapesearch Chat 💬️ is a large language model front-end to our database of over 1 million podcast transcripts. Search, explore, and dive deeper into podcast content in ways that were previously with the largest available database of podcast transcripts. 🕵️
Hi Product Hunters! 👋️
Today I'm introducing Tapesearch Chat 📼️. It’s nearly been a year since I launched the original Tapesearch and I’m excited to share this new feature with you.
🤔️ Problem
I listened to a lot of Podcasts in 2023 and I’m sure many of you did too. Speaking as a Data Scientist, podcasts are amazingly rich in useful information but very poorly curated. There is so much information locked up in opaque audio files waiting to be found.
The original Tapesearch (now called Tapesearch Text) was great if you knew the exact wording/phrase used, but what about a more natural semantic search?
🛠️ Solution
Tapesearch Chat fixes this by searching over 1 million transcripts generated by the latest AI technology in conjunction with a large language model (currently GPT 3.5) to answer your questions related to a podcast’s content.
You can now get an instant TL;DR of multiple episodes complete with source links to the transcripts that were used to formulate the answer.
If you want to widen the knowledge behind the answers, start a group chat with multiple podcasts.
You can even switch roles and interview your favourite podcaster!
🧑🤝🧑️ Who is this for?
The curious listener, podcasters, journalists, academics, researchers and more. Tapesearch also makes podcasts accessible to those who are deaf and hard of hearing.
🌱️ What’s next?
Let us know what you think of Tapesearch and how it could be improved. We are also in the process of training our own LLMs to improve the quality of the responses.
It’s free to try for a handful of queries, so if you’ve found it useful give us a shout and share your experience with us on Twitter! ❤️ Also don’t forget the 40% discount on plans until the end of the month 🥳️
About Tapesearch Chat on Product Hunt
“Find what was said in a podcast using AI powered search”
Tapesearch Chat launched on Product Hunt on October 20th, 2023 and earned 79 upvotes and 8 comments, placing #27 on the daily leaderboard. Tapesearch Chat 💬️ is a large language model front-end to our database of over 1 million podcast transcripts. Search, explore, and dive deeper into podcast content in ways that were previously with the largest available database of podcast transcripts. 🕵️
On the analytics side, Tapesearch Chat competes within Productivity, Artificial Intelligence and Search — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Tapesearch Chat performed against the three products that launched closest to it on the same day.
Who hunted Tapesearch Chat?
Tapesearch Chat was hunted by Anjum Sayed. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Anjum Sayed