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BaziAI – Traditional Chinese Astrology Meets Modern AI (DeepSeek R1)

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BaziAI – Traditional Chinese Astrology Meets Modern AI (DeepSeek R1)

We've built BaziAI ( https://baziai.com ), an AI-powered platform that combines traditional Chinese Bazi (八字) astrology with DeepSeek R1's advanced language model to provide personalized life insights. What makes it unique: - Integration of centuries-old wisdom with cutting-edge AI technology - Powered by DeepSeek R1, one of the most capable open-source LLMs - Focus on career guidance and life path analysis - Clean, modern UI with multi-language support - Privacy-focused approach to personal data Tech Stack: - Frontend: Next.js with TypeScript - AI: DeepSeek R1 for natural language understanding and generation - Internationalization built-in (currently supporting English and Chinese) We built this because we saw an opportunity to bridge traditional wisdom with modern technology. While there are many astrology apps out there, most lack the depth of analysis that AI can provide, and few focus on the specific traditions of Chinese Bazi analysis. We're currently in beta, and we'd love feedback from the HN community, especially on: 1. The accuracy and usefulness of the AI-generated insights 2. UI/UX experience 3. dditional features you'd like to see Try it out and let us know what you think!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, apps, open · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, apps · Missing: mobile apps, ios, entrepreneurs
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
31%31% 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
31%31% 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
14%14% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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