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Zodii – a developer-first astrology, numerology and tarot API platform

Hacker News

Zodii – a developer-first astrology, numerology and tarot API platform

Hi HN! I’m Alex (co‑founder of Zodii), and I built Zodii, a comprehensive REST API suite that lets developers integrate astrology, numerology, and tarot capabilities—fast and free to start. What it is A spiritual API platform offering zodiac data, birth-chart analysis, numerology, tarot readings, compatibility, and daily horoscopes Instagram Google Play +2 Zodii +2 Apple +2 . One consistent REST API across all categories—easy for developers to plug in. Why I built it Developers wanted reliable, accurate spiritual-wellness data without scraping or maintaining astrology libraries. Zodii provides an all-in-one solution, with real-time API responses and free tier access. How it works under the hood Endpoints for zodiac signs, birth charts, compatibility, numerology, tarot spreads, etc. Instant, real-time data powered by astronomical algorithms and curated interpretations Zodii . Rate-limited free tier: enjoy 100 free monthly API calls, then scale up as needed Zodii . Developer experience Clean REST interface: e.g. nginx Copy Edit curl " https://www.zodiiapp.com/api/zodiac/aries?token=YOUR_TOKEN " returns structured JSON with strengths/weaknesses, compatibility, and personality profiles Zodii . Easy onboarding: no credit card, instant token, full docs, demo available. What’s different Covers astrology, numerology, tarot in one API—no juggling multiple services. Enterprise-grade reliability: 99.9% SLA, 50 ms avg response time, scalable plans costarastrology.com +6 Zodii +6 zodiacsign.com +6 . Free developer tier is generous and supportive of exploration. Try it out Sign up, get your free token, and start building at https://www.zodiiapp.com/ — fully documented and ready for integration. What feedback would be amazing How seamless is the API onboarding and documentation? Are there missing data points or features you'd expect (e.g. specific tarot spreads)? Any hiccups around rate limits, error handling, or response formats? I’m here to answer questions, dig into edge cases, or discuss features. Appreciate your feedback—thanks for checking it out!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
93%93% 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.
TrustMRRLess likely to generate early MRR · Strong signals: personal, month, google · Missing: mobile apps, ios, entrepreneurs
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: nginx, ide, 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 · Strong signals: platform, interface, calls · Missing: plus, intuitive, reviews
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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