Create podcasts on any topic with AI
Want to learn something but don't know where to start? Just give Rome the topic, and it will create a podcast for you! Our knowledge agent crawls the web to find relevant sources, identifies the relevant subtopics, and finally crafts & narrates the episode.
Hey everyone, Daryl here! We're incredibly excited to be launching our baby, Rome. We wanted to make it as easy as possible for anyone to learn anything, simply by entering a topic you're interested in. Whether it be to gain a deeper understanding of complex topics like neural networks or learn random things like Elon Musk's childhood, we hope Rome can be your valuable AI podcast companion. Rome's knowledge agent essentially takes in the prompt, does research on the web to determine the relevant
Hey Daryl, I'm wondering: - How does Rome ensure the accuracy and reliability of the information in its generated podcasts? - Are there options for users to provide feedback or request corrections if they notice any issues with the content? - Do you have plans to expand into other formats beyond audio, such as text summaries or visual aids? Congrats on the launch!
@budiman Congrats on the launch! Really like both the idea and the design behind Rome. Does Rome also "hallucinate" like the other AI models out there? If so, how often does it do that?
This is sick! In a world with so much information to parse, I love how this helps cut through the noise by delivering relevant, personalized content to help me learn about topics I care about in a familiar format. Nice work!
This idea is incredible. Great job, I’m going to give this a try. I can think of so many programming concepts that I would like to have a podcast on, especially for building apps. Nice
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.