AI Bartender in a Virtual Bar

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Note: The avatar will talk to you, so make sure you check your volume! Hello HN! I've seen a bunch of AI character type stuff online, but all of them were boring chat interfaces. I thought it would be more fun to give the characters an avatar and a 3d environment to interact with. The stack I'm using is Claude 3.5 for the LLM, OpenAI TTS, Stable Diffusion for generating drinks, and three.js for rendering. I exposed the prompt I'm using so people can play around with it by clicking the robot icon. If people find it interesting, I might add more environments, character customization options, etc. Hope you enjoy and let me know your thoughts/questions in the comments! If you want to know more, follow me on Twitter or join the Discord! https://discord.gg/VZSk9yjVcz https://x.com/neelmango

Visit product View on Hacker NewsAug 13, 2024

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

78%78% 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

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 · Missing: mobile apps, ios, personal

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

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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