Pyth Progress Report: Community Hackathon Updates 3.30

#pythnetwork #webdev #ai #oracle

Background
What a market lately. Absolutely dreadful if we're being honest. Although I've tried to take advantage of some consolidation through DLMM over the last couple of months (thank you @MeteoraAG, @met_lparmy, @Heavymetalcook6), the most recent downturn is pretty painful to watch. If I'm being brutally honest, my crypto portfolio is in complete shambles. Like most of you, I'm seeing red......everywhere.

All that said, what cheers me up in times like these isn’t just “rolled-up aces over kings” (insert a respectful nod to my best Worm-from-Rounders impression); it’s knowing the companies I’ve invested in are building products designed for long-term, sustainable growth. Which companies, might you ask? An easy question, and one that I have a perfect answer for—@PythNetwork.

Part of what gives me confidence in Pyth’s long-term success is its revenue-generating product line—Pro, Entropy, Express Relay, etc. As product utilization increases, more revenue is generated, and more value is consequently returned to the network. In essence, this is why the ongoing Community Hackathon is so important – it demonstrates potential value by expanding on the use cases for Pyth products. With that in mind and the hackathon 4.1.26 submission deadline quickly approaching, I wanted to highlight a few of the already submitted projects…

FOGO PULSE

Submitted by: @MasterWattson
Demo link: https://dvr.masterwattson.site/
Pyth Products Used: Pyth Price Feeds, Hermes
Description: Essentially a market DVR for financial markets. Using Pyth Pro and including 16 assets from 3 different asset classes (commodities, crypto, and forex), this project records asset price movements in up to 1ms time frames, producing searchable archives that can help auto-detect market events. Over 83,000 events have been recorded since launch.
DEV post: I Built a DVR for Financial Markets Using Pyth Pro

Tech Stack:
→ Framework/Language: Next.js 16, React 19, TypeScript, Rust
→ Blockchain: FOGO Chain (SVM-compatible), Anchor 0.31.1
→ Oracle: Pyth Pro / Lazer (Ed25519 on-chain verification), Pyth Hermes (real-time streaming)
→ Frontend: Tailwind CSS 4, shadcn/ui, TradingView Lightweight Charts, Zustand, TanStack Query
→ Wallets: Solana Wallet Adapter (Phantom, Nightly, Backpack)
→ Automation: TypeScript crank bot, systemd
→ Deployment: Vercel (frontend), Contabo VPS (crank bot)

MARKET DVR

Tech Stack:
→ Framework/Language: React + Vite + TypeScript (frontend), Node.js + Express (backend)
→ Database: PostgreSQL — every tick and event stored with microsecond timestamps
→ Oracle: Pyth Pro / Lazer — @pythnetwork/pyth-lazer-sdk
→ Deployment: Ubuntu VPS, Caddy reverse proxy, PM2
→ Key Libraries: Framer Motion, html-to-image, MediaRecorder API (WebM clip export)
→ Blockchain: N/A (off-chain feeds only)
→ Agent Framework: N/A

PYTH FEEDS

Submitted by: @Saad_Majdaoui
Demo link: https://pythfeeds.com/
Pyth Products Used: Pyth Price Feeds; Hermes
Description: A one-stop shop for all your market needs. In addition to asset charts, it has swap views, macro calendars, and AI helpers all in one place.
DEV post: Pending

Tech Stack:
→ Framework/Language: Node.js, Express (REST API, SSE, rate limiting, compression), Next.js (App Router) + React + TypeScript, Tailwind CSS (v4). UI also uses MUI, Radix, Motion, Recharts / Lightweight Charts, Three.js / React Three Fiber where used. JavaScript on the backend (not Python)
→ Data / APIs: MySQL (mysql2) for optional persistence; node-cache for in-memory caching. External data: Pyth Hermes (@pythnetwork/hermes-client), CoinGecko, RSS (rss-parser), plus routes for Jupiter / Raydium / Dexscreener / Pump.fun style integrations as implemented in the server.
→ Blockchain: Solana: @solana/web3.js and wallet-adapter (React) for wallet connect
→ Agent framework: No LangChain / similar agent framework in package.json. AI uses Google Generative AI (@google/generative-ai, Gemini) for chat, briefs, and related /api/ai/* features on the Express server
→ Deployment: Private VPS

THE MARKET WITNESS

Submitted by: @Joestar_sann
Demo link: https://market-witness.vercel.app/
Pyth Products Used: Pyth Price Feeds, Hermes
Description: An interactive game where users pick among 500+ Pyth price feeds, and essentially turn them into an AI-generated courtroom experience. Five distinct data points are utilized as "evidence": price, confidence, EMA price, EMA confidence, and Benchmarks volatility. Pretty unique way to utilize Pyth's price data in my opinion.
DEV post: Pending

Tech Stack:
→ Framework: Next.js 14 (App Router, TypeScript)
→ Styling: Tailwind CSS v4
→ Animations: Framer Motion + CSS Keyframes
→ Sound Effects: Web Audio API (synthesized, no external files)
→ AI Dialogue: OpenRouter API (server-side, key protected)
→ Oracle Data: Pyth Hermes REST API + Pyth Pro Benchmarks API
→ Character Art: AI-generated pixel art (GPT-5 Image via OpenRouter)
→ Deployment: Vercel

PYTHIAN PESO SNAKE

Submitted by: @totti1317
Demo link: https://ppsnake.netlify.app/
Pyth Products Used: Pyth Entropy
Description: Browser-based game (similar to an old Nokia 1100 game) where players eat Pythian Pesos to score points. What's truly great about the game is that the Peso (food) placement is done through Pyth Entropy.
DEV post: Pythian Peso Snake - DEV Community

Tech Stack:
→ Framework/Language: Vanilla HTML, CSS, JavaScript (single self-contained file)
→ Blockchain: Optimism (Pyth Entropy provider 0x52DeaA1c84233F7bb8C8A45baeDE41091c616506)
→ Deployment: Static file, runs entirely in the browser, no server required

PYNGO

Submitted by: @enoobro
Demo link: https://pyngo.fun
Pyth Products Used: Pyth Price Feeds, Hermes, Pyth Entropy
Description: Fast-paced bingo game derived from crypto price movements. Players receive a grid of 20 cells with market conditions over a 90 second time frame. As crypto prices update, cells validate with an option to predict market conditions for a 2x bonus.
DEV post: Pending

Tech Stack:
→ Framework/Language: Next.js, TypeScript, Tailwind CSS, Framer Motion
→ Blockchain: N/A (off-chain, uses Pyth Hermes REST API + Fortuna API)
→ Agent Framework (if applicable): N/A
→ Deployment: VPS

PYTH RADAR

Submitted by: @r_ladik
Demo link: https://pyth-radar.vercel.app
Pyth Products Used: Pyth Price Feeds, Hermes
Description: Dashboard of 30 assets, among multiple asset classes, that shows price deviation between select CEXs (@binance, @okx, @Bybit_Official, and @Gate) and @PythNetwork price data.
DEV post: CEXs lie with fair prices. Here's how to catch it in real time

Tech Stack:
→ Framework: React + Vite + TypeScript
→ Styling: Tailwind CSS
→ Charts: TradingView Lightweight Charts v5
→ Deployment: Vercel
→ Data: Pyth Hermes WebSocket - live prices + confidence intervals
→ Market data: Binance, Bybit, Gate.io, OKX (public WebSocket endpoints)

PIRBGEN

Submitted by: @StanovAndrew
Demo link: https://pirbgen.vercel.app/
Pyth Products Used: Pyth Price Feeds, Hermes, Pyth Entropy
Description: 1on1 arcade game that focuses on trading simulations where the objective of the 60 second matches is to have the highest PnL. Through buffs, opponent debuffs, debuff "cleanses," position reversals, and slower price feed data streams via competitor oracles (looking at you @chainlink and @redstone_defi), the game represents a unique way to use Pyth products.
DEV post: PIRBGEN - DEV Community

Tech Stack
→ Framework/Language: Vite (SPA) + React + TypeScript, Tailwind CSS (v3). The UI utilizes (built on Radix UI, clsx, tailwind-merge), Framer Motion (for fluid animations), Recharts (for data visualization), and Matter.js + poly-decomp (for interactive 2D physics)
→ Blockchain (if applicable): BASE
→ Agent Framework (if applicable): There are no heavy SDKs like LangChain in the frontend bundle, the agentic logic and AI features are delegated via HTTP requests to external backends or Supabase Edge Functions
→ Deployment: VERCEL

Closing Remarks¹˒²
Exciting to see some of the hackathon projects already submitted, and as you now know, they include anything from prediction markets and market surveillance tools to games and dashboards. Impressive start to the event in my opinion, and I'm sure the number of submissions will continue to ramp up as we get closer to the deadline. For anyone who hasn't started, know there's still time! You have until 4.01.26 to submit your project. All hackathon resources you need to get started are available on the @PythNetwork developer forum page—important timeline dates, submission requirements, judging rubric, and prize information. I've also included a link to another one of my hackathon articles for additional insight. Get to coding Pythians!

References

Need help or have questions? Join the Pyth community on Discord or reach out to the team directly.