D&D meets Siri – Interactive voice adventure

Hacker News

Hey HN! I've been building tooling for voice-driven apps over the past few months, as part of a hardware project. Someone suggested adapting the DSL to play Dungeons and Dragons. So, here we are! What is it? An AI-powered, voice-controlled D&D adventure set in the world of Dvorak. Talk to characters, explore locations, and shape the story using your words. Use your microphone to interact with the AI dungeon master. Explore freely – interrupt, ask questions, or take unexpected actions. If you make friends at the tavern, you can also just hang out there and chat. Hint: Talk to the bartender to move the story along. This is an early demo, and I'm eager for your thoughts: Is the concept engaging? What works well, and what doesn't? I've added a feedback form to the webpage in case you want to drop a comment without posting on HN. Thanks for trying out the demo!

Visit product View on Hacker NewsAug 23, 2024

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

91%91% 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.

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

72%72% 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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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: chat · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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