Pythscan

Team: @ricardoreyes1648ricardoreyes1648ricardoreyes1648ricardoreyes1648
Submitted: 01/04/2026

Answer Capsule

[Whac-a-Pythenian is a high-speed arcade reflex game where players “pop” rapidly spawning targets to climb a global leaderboard. It utilizes Pyth Entropy to generate verifiably fair, on-chain randomness for every spawn. This ensures the game’s difficulty and patterns are tamper-proof and transparent, providing a secure, cheat-proof experience that traditional centralized gaming cannot match.

What It Does

Traditional online games often suffer from “black-box” randomness that players must trust blindly. Whac-a-Pythenian solves this by creating a verifiably fair arcade experience where every target spawn is dictated by transparent, on-chain entropy. This ensures a cheat-proof environment where skill is the only variable, and the randomness is as decentralized as the blockchain itself.

Pyth Features Used

Check all that apply:

Price Feeds (on-chain or off-chain)
Entropy (randomness)
Both

Arena

Tech Stack

Framework/Language: Next.js (React), TypeScript, Tailwind CSS, Framer Motion

Agent Framework (if applicable): N/A (Player-controlled Arcade Mechanics)

Deployment: Vercel (Frontend), Supabase (Database/Leaderboard), GitHub (Version Control)

Content Contributions (Required)

Every submission must include at least one public post and one technical contribution. Link them here.

Public Post (Reddit, Dev.to, or Hashnode): [URL]
Technical Contribution (Stack Overflow answer or GitHub gist/example): [URL]
Bonus — X Platform Post: https://x.com/RiyRicardo/status/2039447253341839375
Bonus — Wikipedia Contribution (optional): [URL or diff link]

Licensing

This project is licensed under Apache 2.0 (required for all submissions).

Eligibility Confirmation

I am 18+ years old
I am not located in an OFAC-sanctioned jurisdiction
I confirm this is an original work created during the hackathon period
I have read and agree to the Terms & Conditions

Whac-a-Pythenian: High-Speed Arcade Gaming with On-Chain Pyth Entropy