Generate never-before-seen storyboards for Rick and Morty episodes

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Rick and Mortify is a system we built for creating never-before-seen episodes of Rick and Morty by leveraging the state-of-the-art in generative AI. These days generative AI is so hot right now. It promises to revolutionize all aspects of creative work from copywriting and image creation, to video and audio synthesis. Given the rapid progress of AI, when will we see an AI system listed in the closing credits of your favorite feature-length film? Rick and Mortify is a tool we built to demonstrate that future is closer than you might think. Our tool uses the state-of-the-art in large vision and language models to create never-before-seen episodes of Rick and Morty with minimal human intervention. All the plot points, dialogue, and accompanying visuals are generated with machine learning. Why use Rick and Morty as a case-study? Because 1) given the show's complex narrative structure and character profiles, it offers an ambitious north star for generative AI systems and 2) that show is the bomb and as AI researchers, we want to make Rick proud. Rick and Mortify is only scratching the service of what is possible and we're excited to see what you create with it. If you've been thinking about AI-driven story generation, we'd love to hear from you!

Visit product View on Hacker NewsNov 30, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

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best fitHighest predicted score across all platforms for this description.

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

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

52%52% predicted probability of success on TrustMRR, 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

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

15%15% 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.

Incorrect prediction on native model

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