AI podcasts for your favorite books
Bad advice is the #1 startup killer. Tales delivers the best insights from your favorite startup, business, product, and self-help books—transformed into fun, lively podcast conversations. Never feel out of depth again—whether at work, or with friends!
Hey Product Hunt! 👋 I’m Charvi, and I’m so excited to introduce Tales.so—a project close to my heart and a response to something I’ve struggled with for years. Learning is hard. Not just finding the time—but making sense of all the information out there. With the sheer volume of books, ideas, and advice, it often feels overwhelming to even start. We hear stories of successful people who read 100 books a year or devour two books a week. I wanted to be that person. I tried. But as a parent and a f
what are you guys using for voice generation?
Congrats on the launch! It's very useful for diving deeper into reading, especially novels. If I'm reading a really long book, would it feasible to create a multi-part podcast based on it?
Congrats on the launch, @charvia & @arpwal. Curious - how is this different from using tools like Google's NotebookLM to generate conversational audio from a Kindle book? Would love to hear your thoughts!
Hello Product Hunt! 👋 Super excited to be sharing Tales with you all today. At Tales, we're building Podcasts for ALL the Books, with AI Co-Hosts -- Mike & Casey! You can do the following with Tales: - Chat with Authors's Avatars. Think Talking to Walter Isaacson about the Steve Jobs book, - Listen to the single person or 2 people podcasts. More the hosts, more the fun, - Book recommendations from successful people, like Marc Andreessen, Elon Musk, Balaji Srinivasan, and more, - AI Based Per
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
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.