Stack-Chan Returns: A ChatGPT-Powered Companion Robot

Hacker News

I'm back with an update on Stack-chan, now powered by ChatGPT for human-like conversations! Check out the demo video: https://www.youtube.com/watch?v=6lO3xe_12So and GitHub repo: https://github.com/meganetaaan/stack-chan/tree/dev/v1.0/firm... for detailed instructions. We're using VOSK for speech recognition and VOICEVOX for Japanese speech synthesis. You can easily swap out the speech synthesis engine if needed. The robot is open source, and we're working on a kit version for easier assembly. We've integrated ChatGPT by feeding speech recognition results into it and providing Stack-chan's character settings. The codebase is implemented using the JavaScript platform "Moddable," and you can find the ChatGPT API integration here: https://github.com/meganetaaan/stack-chan/blob/dev/v1.0/firm... . Though ChatGPT is designed for question-and-answer dialogues, we're exploring ways to improve turn-taking for more natural conversations. We're excited about Stack-chan's new conversational abilities and welcome any interesting use case ideas you have!

Visit product View on Hacker NewsApr 18, 2023

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

86%86% 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

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

44%44% 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

14%14% 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.

Incorrect prediction on native model

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