Customizable, multilingual voice-enabled AI assistant powered by OpenAI

Hacker News

Hi HN, Today, we're launching Glowby Basic, our open-source, customizable AI assistant powered by OpenAI API. It allows you to easily recreate and adapt your own assistant for various needs, with multilingual voice capabilities. Key features include autonomous decision-making, customizable pre-set questions, support for 30+ languages, and effortless prompt switching for different tasks and scenarios. We've made interactions with LLMs and AI-related APIs open-source to encourage collaboration and enhance transparency. Try our live demo (no sign-up required) and explore the GitHub repo linked in the title to start building your own AI assistant. We recognize that there's always room for improvement, and we welcome your feedback as we work to make progress. Thank you!

Visit product View on Hacker NewsApr 20, 2023

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

94%94% 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 · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

42%42% 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 · Missing: plus, platform, intuitive

28%28% 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

13%13% 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

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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