TaleStitch – An app for collaborative AI storytelling

Hacker News

We have been working on an app called TaleStitch. It's a platform that combines human creativity with AI to help users craft and share captivating stories. You can think of it as a collaborative storytelling tool where the AI assists in generating and refining your narratives while you also build upon someone else's storyline. Here's what you can do with TaleStitch: - Create stories using AI to overcome writer's block or enhance your story or someone else's - Share your stories with others on the app and get feedback. - Explore a library of stories created by others for inspiration. You can also check out the website here: https://www.talestitch.com/ Would love to hear your thoughts and feedback on it!

Visit product View on Hacker NewsMay 30, 2024

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

77%77% 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: user, using · Missing: mac, agents, macos

61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

35%35% predicted probability of success on TrustMRR, 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

16%16% 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: arr · Missing: mrr, revenue, profit

12%12% 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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