I made an AI Dungeon Master to play D&D 5e with

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Hey everyone, I built this project because I always wanted to try playing D&D but couldn’t find a group of friends or a DM to play with. It’s still early stages and not meant to be a complete replacement for real DMs or IRL sessions, but it’s a good way to dip your toes into DnD or to play on your phone between your IRL sessions. I tried playing D&D with ChatGPT but the overall experience was lacking, so I built this site & Discord bot that has a character sheet tool, better memory management, support for multiplayer, and automatic tracking for things like spells, HP, and encounters. Try it out at https://www.fables.gg/ and let me know what you think! You can try it for free, but after a while there is a paywall since the GPT API costs aren’t cheap.

Visit product View on Hacker NewsJul 6, 2023

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

63%63% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

45%45% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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