StorySeed – AI Facilitated, immersive, creative learning experience

Hacker News

Hello HN, Are you looking for a fun and engaging way to spark your creativity or your teen's creativity? Or maybe you're interested in exploring the world of storytelling? Introducing Story Seed - an AI-facilitated learning experience that will take you on an immersive and interactive journey through the art of storytelling with movies, books and tv shows you love. With bite-sized lessons, fun guessing games, and AI facilitation, you'll be inspired to tap into your imagination and bring your stories to life like never before. This learning experience is perfect for pre-teens and teens who are interested in writing, as well as anyone who wants to improve their storytelling skills. It's a great way to spend quality time with your kids, or to explore your own creativity. It is integrated with our new tool for creative writing, Papyr. We are excited about launching them together. When you complete StorySeed, the learning experience, you are given 3 prompts to choose from and you begin writing, in Papyr. Today we are releasing our pilot, Chapter 1: Story DNA. We will be releasing the rest of the chapters during the coming months and adding new content hopefully, forever. It's free but signup is required to track credits. Please check them both out and let us know what you think. Papyr: https://koodpad.com/papyr StorySeed: https://seed.kood.app

Visit product View on Hacker NewsApr 6, 2023

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

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month, way · Missing: mobile apps, ios, personal

48%48% 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, io · Missing: https docs, just released, exist

41%41% 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 · Strong signals: active · Missing: arr, mrr, revenue

11%11% 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.

Incorrect prediction on native model

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