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Cover image for I Built Orra: A Tarot App Powered by Pyth for Verifiable Market Readings
MJ Faeldonia
MJ Faeldonia

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I Built Orra: A Tarot App Powered by Pyth for Verifiable Market Readings

I got tired of noisy charts and vague signals.

So I built Orra, a tarot app powered by Pyth that turns real-time market data into verifiable readings.

Most tools give raw numbers.

Most tarot apps give vibes without proof.

I wanted both intuition and transparency in one flow.

What Orra Does

  • Lets users pick an asset and go through an adaptive question flow
  • Anchors each reading to live Pyth Price Feed context
  • Triggers card draws with Pyth Entropy
  • Shows an on-chain receipt linking snapshot and draw result
  • Generates a share-ready reading image for socials or friends

Why I Built It

I wanted a product that feels human, not just another chart dashboard, while still being technically credible. Orra is my attempt to combine ritual-style UX with verifiable on-chain mechanics.

Product Flow

1) Dashboard

Users land on the dashboard, search assets, and review live market context before starting a reading.

Dashboard

2) Wallet Connect

Users connect wallet to enter the reading flow.

Wallet Connect

3) Asset Selection

Users choose the asset, and Orra confirms the live Pyth feed.

Asset Selection

4) Adaptive Question Flow

Users answer guided questions about market situation, timing, and focus. The path adapts by asset category.

Adaptive Question Flow

5) Oracle Commit

Users confirm the fee and trigger the draw. Orra commits a Pyth snapshot on-chain and requests Entropy randomness.

Oracle Commit

6) Card Draw

A card is selected from Entropy output. Orientation (upright/reversed) is also determined deterministically from the same random value.

Card Draw

7) Reading Result + Proof

The final view shows the card, interpretation, and on-chain receipt proving the snapshot and draw linkage.

Reading Result

8) Shareable Reading Card

Users can download a clean reading card image to share externally.

Shareable Reading Card

Live Demo

https://orra-pyth.vercel.app/

Feedback I Want

I would love feedback on:

  • UX clarity through the full flow
  • Trust and proof presentation
  • Interpretation quality and tone
  • Features that would make this more useful daily

Orra. Read the market. Read your path.

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