Podpilot.ai – AI-Generated Podcasts

Hacker News

Hi HN, we’re Brian, Scott, and Ash, the team behind PodPilot. PodPilot uses AI to create a podcast series for your organization at a fraction of the time and cost it takes to produce a podcast traditionally. How it works: We use AI in every part of the podcast creation process. Just type in the website for your company / org. PodPilot uses that as a starting point for an AI agent to discover more about your organization online and then to surf the web for relevant topics and news. Using what it finds, AI comes up with a pitch for each episode and then writes the script for the host and guest voiceovers. We then use AI to compose intro and outro music, and finally use AI to generate the personalities, avatars, and voices for the host and guest. It all comes together in a podcast episode that you can review and make adjustments to before publishing. We’re providing an early preview of personalizing your podcast series, and we will create an AI-generated podcast episode for your new series if you request one through our web app. We’re targeting organizations who would like to have their own podcast series but don’t have the time and/or resources to produce one. By drastically reducing the time, effort, and resources involved to produce a podcast, we make it accessible for any team to have a quality starter podcast that, with editorial control, the team can develop into something truly special. More thematically, this is a bet on AI’s role in the future of entertainment. Although it is still in its infancy and we have not witnessed a defining AI-driven entertainment breakthrough yet, we anticipate that individuals will increasingly harness AI in profound ways to create genuinely creative and captivating content, and that over time such content will represent a growing slice of our media consumption. PodPilot is an early exploration of what is possible with today’s AI technology. We’re really excited about the technology behind this and would love your input. We know that there might be opportunities to use the tech in other ways, and we’re interested in what ideas come out of discussion with the community here. If you’d like to send us a private message or are interested in collaborating with us, please do get in touch at hello@podpilot.ai.

Visit product View on Hacker NewsJul 11, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, new, using · Missing: mac, agents, macos

92%92% 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: organizations · Missing: supports, reddit linkedin, podcasting

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% 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, ide, io · Missing: https docs, just released, exist

44%44% 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

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

BetaListMay not resonate with beta-testers · 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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