Show HN: I Built a Podcast with Leading AIs

Hacker News

Hey HN, I'm thrilled to share the "AI + I Podcast," a groundbreaking podcast where I chat directly with some of the world's top AIs: ChatGPT, Gemini, Claude, Llama, Mixtral, and Gemma. We dive into everything from life and tech to science and culture, blending human insights with intriguing AI perspectives. Check out a pre-launch demo I just made a few minutes ago here, it's rough but you can get the idea :) --> https://www.youtube.com/watch?v=e4XxIX1Y3NE I want to make this podcast as engaging and diverse as possible, and I'd love your input: Topics: What would you like us to cover? Whether it's the latest in AI, philosophical debates, humorous topics, or cultural trends, I’m all ears. Guests: Interested in joining the show? Know someone who would be a fantastic guest? Let me know --> titus@aiplusipodcast.com Live Participation: Would you like to be part of a LIVE version of this podcast? If you're excited about discussing topics with leading AI models in real-time, reach out and let's make it happen! Join me in creating thought-provoking and mind-expanding conversations. Your ideas and participation can help make "AI + I Podcast" an incredible and fascinating experience! Looking forward to your suggestions and thoughts...

Visit product View on Hacker NewsJul 16, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, model, models · Missing: mac, agents, macos

83%83% 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: gemini · Missing: supports, reddit linkedin, podcasting

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, llama, ide · Missing: https docs, just released, exist

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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