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Beyond the Screen – The first podcast that's 100% made by AI

Hacker News

Beyond the Screen – The first podcast that's 100% made by AI

"Beyond the Screen" is a fascinating podcast that explores the ever-evolving world of AI. Hosted by an AI-powered voice cloned using ElevenLabs, every episode is engaging, informative, and showcases the amazing capabilities of AI tools. The host's cloned voice is incredibly realistic, and at times, it's hard to believe that it's not a human speaking. By using a combination of AI tools, the podcast is created automatically without the need for any human intervention. From generating scripts to producing the final audio, everything is done by AI tools, making it a revolutionary concept in the world of podcasting. To create content for the podcast, AI tools gather news from various blogs and generate a script that the host's voice reads. This process is quick, efficient, and accurate, ensuring that listeners get the latest news and updates from the world of AI and AR. Whether you're an AI enthusiast or just curious about the latest developments in the field, "Beyond the Screen" is a must-listen. With a new episode every day, you can tune in on Apple Podcasts, Spotify, or your favorite podcast app and immerse yourself in the world of AI. The podcast is an excellent example of how AI can be used to automate tasks and make our lives easier. It's exciting to see how AI is transforming various industries, and "Beyond the Screen" is an excellent showcase of its capabilities.

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, new, elevenlabs · Missing: mac, agents, macos
94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: podcasting, created · Missing: supports, reddit linkedin, latex
87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
60%60% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host, efficient · Missing: plus, platform, intuitive
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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