Lore Sage – Turn Ideas into Custom Fantasy Worlds in Minutes

Hacker News

Hey HN! I'm excited to share my latest project, Lore Sage. It's a platform that transforms your cool world-building ideas into fully realized, custom fantasy worlds for TTRPGs. Perfect for busy DMs and those who crave unique settings! As a DM and player, I've spent countless hours crafting settings for campaigns and adventures. While it can be fun, the process is often time-consuming and can be challenging for those without a writing background. Lore Sage simplifies world creation by transforming users' ideas into immersive settings that match their preferences in minutes. It's particularly great when you have an idea for a quick one-shot adventure and want to make a quick lore sheet for your characters off of that core idea. Check it out on Product Hunt: https://www.producthunt.com/posts/lore-sage New users receive five free credits to start creating their own personalized fantasy worlds. We also have a brand-new Discord community where you can share your creations, discuss TTRPGs, and provide feedback. I'd love to hear your thoughts, feedback, and any suggestions for improvement! Check it out: https://loresage.com Join our Discord: https://discord.gg/vbXRTUTU Follow us on Twitter: https://twitter.com/TheLoreSage Thank you, and happy world-building!

Visit product View on Hacker NewsApr 12, 2023

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

83%83% 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.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% 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

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: personal, users · Missing: mobile apps, ios, entrepreneurs

33%33% 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

10%10% 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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